IEEE Catalog Number: ISBN:

CFP13CIP-POD 978-1-4799-2342-7

2013 IEEE International Conference on Image Processing (ICIP 2013)

Melbourne, Australia 15-18 September 2013

Pages 1-746

1/6

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TABLE OF CONTENTS

MA-L1: SENSING AND ACQUISITION

MA-L1.1: FAST EPI BASED DEPTH FOR PLENOPTIC CAMERAS..........................................................1Mithun Uliyar, Gururaj Putraya, Basavaraja Sv, Nokia India, India

MA-L1.2: GRADIENT-BASED TIME TO CONTACT ON PARACATADIOPTRIC CAMERA ..............5Fatima Zahra Benamar, Mohammed V-Agdal University, Morocco; Sanaa El Fkihi, ENSIAS,Mohamed V-Souissi University, Morocco; Cédric Demonceaux, University of Burgundy, France; El Mustapha Mouaddib, University of Picardie Jules Verne, France; Driss Aboutajdine, Mohammed V-Agdal University, Morocco

MA-L1.3: MEASUREMENT CODING FOR COMPRESSIVE IMAGING USING A ..............................10STRUCTURAL MEASUREMNET MATRIX Khanh Quoc Dinh, Hiuk Jae Shim, Byeungwoo Jeon, Sungkyunkwan University, Republic of Korea

MA-L1.4: ADAPTIVE TEMPORAL COMPRESSIVE SENSING FOR VIDEO ........................................14Xin Yuan, Jianbo Yang, Patrick Llull, Xuejun Liao, Guillermo Sapiro, David Brady, Lawrence Carin, Duke University, United States

MA-L1.5: GAUSSIAN MIXTURE MODEL FOR VIDEO COMPRESSIVE SENSING ............................19Jianbo Yang, Xin Yuan, Xuejun Liao, Patrick Llull, Guillermo Sapiro, David Brady, Lawrence Carin, Duke University, United States

MA-L1.6: A FAST AND ACCURATE RE-CALIBRATION TECHNIQUE FOR MISALIGNED ..........24STEREO CAMERASMihail Georgiev, Atanas Gotchev, Tampere University of Technology, Finland; Miska M. Hannuksela, Nokia Research Center, Finland

MA-L1.7: VIDEO STABILIZATION WITH L1-L2 OPTIMIZATION........................................................29Hui Qu, Li Song, Shanghai Jiao Tong University, China

MA-L2: IMAGE DENOISING

MA-L2.1: IMPROVING K-SVD DENOISING BY POST-PROCESSING ITS ........................................435METHOD-NOISEYaniv Romano, Michael Elad, Technion - Israel Institute of Technology, Israel

MA-L2.2: DUAL-DOMAIN IMAGE DENOISING .......................................................................................440Claude Knaus, Matthias Zwicker, University of Bern, Switzerland

MA-L2.3: COMPLEX WAVELET JOINT DENOISING AND DEMOSAICING USING ......................445GAUSSIAN SCALE MIXTURESBart Goossens, Jan Aelterman, Hiep Quang Luong Luong, Aleksandra Pizurica, Wilfried Philips, Ghent University, Belgium

MA-L2.4: L INFINITY TOTAL GENERALIZED VARIATION FOR COLOR IMAGE ......................449RECOVERYTakamichi Miyata, Chiba Institute of Technology, Japan

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MA-L2.5: A NONLOCAL MEANS BASED ADAPTIVE DENOISING FRAMEWORK FOR ..............454MIXED IMAGE NOISE REMOVALLin Zhu, Huawei Technologies Co. Ltd, China

MA-L2.6: SURE-OPTIMAL TWO-DIMENSIONAL SAVITZKY-GOLAY FILTERS FOR .................459IMAGE DENOISINGSreeram V. Menon, Chandra Sekhar Seelamantula, Indian Institute of Science, India

MA-L2.7: ANISOTROPICALLY FOVEATED NONLOCAL IMAGE DENOISING ..............................464Alessandro Foi, Tampere University of Technology, Finland; Giacomo Boracchi, Politecnico di Milano, Italy

MA-L3: INVERSE PROBLEMS AND COMPRESSIVE SENSING

MA-L3.1: JOINT BLIND DEBLURRING AND DESTRIPING FOR REMOTE SENSING ..................469IMAGESYi Chang, Houzhang Fang, Luxin Yan, Hai Liu, HuaZhong University of Science and Technology, China

MA-L3.2: OPTIMIZED JPEG IMAGE DECOMPRESSION WITH SUPER-RESOLUTION ..............474INTERPOLATION USING MULTI-ORDER TOTAL VARIATIONShunsuke Ono, Isao Yamada, Tokyo Institute of Technology, Japan

MA-L3.3: FAST VARIATIONAL BAYESIAN APPROACHES APPLIED TO LARGE ........................479DIMENSIONAL PROBLEMSYuling Zheng, Thomas Rodet, Aurelia Fraysse, University of Paris-Sud, France

MA-L3.4: LOGARITHMIC TOTAL VARIATION REGULARIZATION FOR .....................................484CROSS-VALIDATION IN PHOTON-LIMITED IMAGINGAlbert Oh, Duke University, United States; Zachary Harmany, University of Wisconsin-Madison, United States; Rebecca Willett, Duke University, United States

MA-L3.5: SPARSE SEQUENCE RECOVERY VIA A MAXIMUM A POSTERIORI ............................489ESTIMATIONMd Mashud Hyder, Kaushik Mahata, The University of Newcastle, Australia

MA-L3.6: KERNEL COMPRESSIVE SENSING ..........................................................................................494Farhad Pourkamali Anaraki, Shannon M. Hughes, University of Colorado at Boulder, United States

MA-L3.7: RESTRICTED BOLTZMANN MACHINE APPROACH TO COUPLE ................................499DICTIONARY TRAINING FOR IMAGE SUPER-RESOLUTIONJunbin Gao, Charles Sturt University, Australia; Yi Guo, Commonwealth Scientific and Industrial Research Organization (CSIRO) Mathematics, Informatics and Statistics, Australia; Ming Yin, Guangdong University of Technology, China

MA-L4: CLASSIFICATION I

MA-L4.1: HETEROGENEOUS FEATURE CODE FOR EXPRESSION RECOGNITION ..................2407Gee-Sern Hsu, Shang-Min Yeh, National Taiwan University of Science and Technology, Taiwan

MA-L4.2: RECOGNIZING ACTIONS VIA SPARSE CODING ON STRUCTURE .............................2412PROJECTIONLei Zhang, Tao Wang, Harbin Engineering University, China; Xiantong Zhen, The University of Sheffield, United Kingdom

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MA-L4.3: A UNIFIED FORMALISM FOR VIDEO DESCRIPTORS .....................................................2416Olivier Kihl, David Picard, ETIS/ ENSEA - University of Cergy-Pontoise - CNRS - UMR 8051, France; Philippe-Henri Gosselin, TexMex Team, INRIA, Rennes-Bretagne-Atlantique Research Center, France

MA-L4.4: HUMAN ACTION RECOGNITION USING ORIENTED HOLISTIC FEATURE ..............2420Jia-Xin Cai, Guo-Can Feng, Xin Tang, Sun Yat-sen University, China

MA-L4.5: FACE-GRAPH MATCHING FOR CLASSIFYING GROUPS OF PEOPLE ........................2425Henry Shu, Andrew Gallagher, Cornell University, United States; Huizhong Chen, Stanford University, United States; Tsuhan Chen, Cornell University, United States

MA-L4.6: SEGMENT-BASED IMAGE CLASSIFICATION USING LAYERED-SOM ........................2430Andrea Kutics, International Christian University, Japan; Christian O’Connell, Unversity of Essex, United Kingdom; Akihiko Nakagawa, International Christian University, Japan

MA-L4.7: CLASSIFICATION OF ENVIRONMENTAL MICROORGANISMS IN .............................2435MICROSCOPIC IMAGES USING SHAPE FEATURES AND SUPPORT VECTOR MACHINESChen Li, Kimiaki Shirahama, Marcin Grzegorzek, University of Siegen, Germany; Fangshu Ma, Beihai Zhou, University of Science and Technology Beijing, China

MA-L5: VISUAL OBJECT TRACKING

MA-L5.2: TROD: TRACKING WITH OCCLUSION HANDLING AND DRIFT .................................2440CORRECTIONArash Pourtaherian, Eindhoven University of Technology, Netherlands; Rob G.J. Wijnhoven, ViNotion, Netherlands; Peter H.N. de With, Eindhoven University of Technology, Netherlands

MA-L5.3: AN EFFICIENT OCCLUSION DETECTION METHOD TO IMPROVE ...........................2445OBJECT TRACKERSYingkun Xu, Lei Qin, Institute of Computing Technology, Chinese Academy of Sciences, China; Guorong Li, Qingming Huang, University of Chinese Academy of Sciences, China

MA-L5.4: CONTEXT-AWARE REAL-TIME TRACKING IN SPARSE REPRESENTATION .........2450FRAMEWORKAshwini M. J., Venkatesh Babu Radhakrishnan, K. R. Ramakrishnan, Indian Institute of Science, India

MA-L5.5: ROBUST AND EFFICIENT OBJECT TRACKING ALGORITHM UNDER ......................2455ILLUMINATION CHANGES BASED ON JOINT GRADIENT-INTENSITY HISTOGRAMFanxiang Zeng, Xuan Liu, Zhitong Huang, Yuefeng Ji, Beijing University of Posts and Telecommunications, China

MA-L5.6: TRACKING ARTICULATED HUMAN MOVEMENTS WITH A COMPONENT ............2460BASED APPROACH TO BOOSTED MULTIPLE INSTANCE LEARNINGKyuseo Han, Johnny Park, Avinash C. Kak, Purdue University, United States

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MA-L6: SCENE ANALYSIS I

MA-L6.1: VIDEO SALIENCY DETECTION BASED ON RANDOM WALK WITH ..........................2465RESTARTJun-Seong Kim, Hansang Kim, Korea University, Republic of Korea; Jae-Young Sim, Ulsan National Institute of Science and Technology, Republic of Korea; Chang-Su Kim, Korea University, Republic of Korea; Sang-Uk Lee, Seoul National University, Republic of Korea

MA-L6.2: SALIENT REGION DETECTION VIA TEXTURE-SUPPRESSED .....................................2470BACKGROUND CONTRASTJiamei Shuai, Laiyun Qing, University of Chinese Academy of Sciences, China; Jun Miao, Zhiguo Ma, Xilin Chen, Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, China

MA-L6.3: OBJECT-LEVEL SALIENCY DETECTION BASED ON SPATIAL ...................................2475COMPACTNESS ASSUMPTIONChi Zhang, Weiqiang Wang, University of Chinese Academy of Sciences, China

MA-L6.4: KNN-BASED COLOR LINE MODEL FOR IMAGE MATTING ..........................................2480Meiguang Jin, Byoung-Kwang Kim, Woo-Jin Song, Pohang University of Science and Technology, Republic of Korea

MA-L6.5: FOREGROUND AND BACKGROUND RECONSTRUCTION IN POISSON ....................2484VIDEOEric Hall, Rebecca Willett, Duke University, United States

MA-L6.6: QUANTUM MECHANICS IN COMPUTER VISION: AUTOMATIC OBJECT ................2489EXTRACTIONCaglar Aytekin, Middle East Technical University, Turkey; Serkan Kiranyaz, Moncef Gabbouj, Tampere University of Technology, Finland

MA-L6.7: LEARNING BINARIZED PIXEL-DIFFERENCE PATTERN FOR SCENE .......................2494RECOGNITIONJianfeng Ren, Xudong Jiang, Junsong Yuan, Nanyang Technological University, Singapore

MA-L7: STEGANOGRAPHY, WATERMARKING, AND SECURITY APPLICATIONS

MA-L7.1: VIDEO STEGANALYSIS BASED ON THE CONSTRAINTS OF MOTION ......................4422VECTORSXikai Xu, Jing Dong, Wei Wang, Tieniu Tan, Institute of Automation, Chinese Academy of Sciences, China

MA-L7.2: STEGANALYSIS OF JSTEG ALGORITHM BASED ON A NOVEL STATISTICAL ......4427MODEL OF QUANTIZED DCT COEFFICIENTSThanh Hai Thai, Rémi Cogranne, Florent Retraint, University of Technology of Troyes, France

MA-L7.3: GENERALIZED TRANSFER COMPONENT ANALYSIS FOR MISMATCHED .............4432JPEG STEGANALYSISXiaofeng Li, Xiangwei Kong, Bo Wang, Yanqing Guo, Xingang You, Dalian University of Technology, China

MA-L7.4: ASYMPTOTICALLY OPTIMAL DETECTION OF LSB MATCHING DATA ..................4437HIDINGRémi Cogranne, Thanh Hai Thai, Florent Retraint, Troyes University of Technology, France

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MA-L7.5: AN EFFICIENT SIGN PREDICTION METHOD FOR DCT COEFFICIENTS ..................4442AND ITS APPLICATION TO REVERSIBLE DATA EMBEDDING IN SCRAMBLED JPEG IMAGEReza Moradi Rad, KokSheik Wong, University of Malaya, Malaysia

MA-L7.6: A VISUAL DICTIONARY ATTACK ON PICTURE PASSWORDS .....................................4447Amir Sadovnik, Tsuhan Chen, Cornell University, United States

MA-S: IMAGE PROCESSING AND PATTERN RECOGNITION FOR ECOLOGICAL APPLICATIONS

MA-S.1: PLANT SPECIES RECOGNITION USING SPATIAL CORRELATION BETWEEN .........1466THE LEAF MARGIN AND THE LEAF SALIENT POINTSSofiene Mouine, Itheri Yahiaoui, Anne Verroust-Blondet, Institut National de Recherche en Informatique et en Automatique (INRIA), France

MA-S.2: A MODEL-BASED APPROACH FOR COMPOUND LEAVES UNDERSTANDING ..........1471AND IDENTIFICATIONGuillaume Cerutti, Laure Tougne, Julien Mille, LIRIS - Université de Lyon, France; Antoine Vacavant, ISIT - Université d’Auvergne, France; Didier Coquin, LISTIC - Université de Savoie, France

MA-S.3: DETECTING ABNORMAL FISH TRAJECTORIES USING CLUSTERED AND ...............1476LABELED DATACigdem Beyan, Robert Bob Fisher, University of Edinburgh, United Kingdom

MA-S.4: COVARIANCE BASED MODELING OF UNDERWATER SCENES FOR FISH ................1481DETECTIONSimone Palazzo, Isaak Kavasidis, Concetto Spampinato, University of Catania, Italy

MA-S.5: DISCOVERY OF ENVIRONMENTAL RESOURCES BASED ON HEATMAP ...................1486RECOGNITIONAnastasia Moumtzidou, Stefanos Vrochidis, Elisavet Chatzilari, Ioannis Kompatsiaris, Information Technologies Institute, Greece

MA-S.6: HABITAT CLASSIFICATION USING RANDOM FOREST BASED IMAGE ......................1491ANNOTATIONMercedes Torres, Guoping Qiu, The University of Nottingham, United Kingdom

MA-S.7: MORPHOLOGICAL FEATURES FOR LEAF BASED PLANT RECOGNITION ................1496Erchan Aptoula, Okan University, Turkey; Berrin Yanikoglu, Sabanci University, Turkey

MA-PA: VISUAL ATTENTION AND SALIENCY

MA-PA.1: SDSP: A NOVEL SALIENCY DETECTION METHOD BY COMBINING ..........................171SIMPLE PRIORSLin Zhang, Zhongyi Gu, Hongyu Li, Tongji University, China

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MA-PA.2: MULTI-SCALE REGION-BASED SALIENCY DETECTION USING W2 ..........................176DISTANCE ON N-DIMENSIONAL NORMAL DISTRIBUTIONSLei Zhu, Dominik A. Klein, Simone Frintrop, Rheinische Friedrich-Wilhelms-Universität Bonn, Germany; Zhi Guo Cao, HuaZhong University of Science and Technology, China; Armin B. Cremers, Rheinische Friedrich-Wilhelms-Universität Bonn, Germany

MA-PA.3: GESTALT SALIENCY: SALIENT REGION DETECTION BASED ON GESTALT ..........181PRINCIPLESJie Wu, Liqing Zhang, Shanghai Jiao Tong University, China

MA-PA.4: LEARNING A BLIND IMAGE QUALITY INDEX BASED ON VISUAL SALIENCY .......186GUIDED SAMPLING AND GABOR FILTERINGZhongyi Gu, Lin Zhang, Hongyu Li, Tongji University, China

MA-PA.5: INFERRING WHAT THE VIDEOGRAPHER WANTED TO CAPTURE .............................191Yuta Nakashima, Naokazu Yokoya, Nara Institute of Science and Technology, Japan

MA-PA.6: MEMORABILITY OF NATURAL SCENES: THE ROLE OF ATTENTION .......................196Matei Mancas, University of Mons (UMONS), Belgium; Olivier Le Meur, University of Rennes 1, France

MA-PA.7: CONTEXTUAL INFORMATION BASED VISUAL SALIENCY MODEL ............................201Seungchul Ryu, Bumsub Ham, Kwanghoon Sohn, Yonsei University, Republic of Korea

MA-PA.8: NONLOCAL CENTER-SURROUND RECONSTRUCTION-BASED ...................................206BOTTOM-UP SALIENCY ESTIMATIONChen Xia, Pengjin Wang, Fei Qi, Guangming Shi, Xidian University, China

MA-PA.9: LEARNING TOP DOWN SCENE CONTEXT FOR VISUAL ATTENTION ........................211MODELING IN NATURAL IMAGESKarthikeyan Shanmuga Vadivel, Vignesh Jagadeesh, B.S. Manjunath, University of California, Santa Barbara, United States

MA-PA.10: MULTI-SCALE VISUAL ATTENTION & SALIENCY MODELLING WITH ..................216DECISION THEORYAnh Cat Le Ngo, The University of Nottingham Malaysia, Malaysia; Li-Minn Ang, Edith Cowan University, Australia; Guoping Qiu, The University of Nottingham United Kingdom, United Kingdom; Kah Phooi Seng, Sunway University, Malaysia

MA-PA.11: FOCUSED POOLING FOR OBJECTIVE QUALITY ESTIMATION ..................................221Vladimir Petrovic, University of Manchester, United Kingdom; Vladimir Dimitrijevic, University of Belgrade, Yugoslavia

MA-PA.12: GAZE LOCATION PREDICTION FOR BROADCAST FOOTBALL VIDEO ..................226USING BAYESIAN INTEGRATION OF LOW LEVEL FEATURES AND TOP-DOWN CUESQin Cheng, Dimitris Agrafiotis, Alin Achim, David Bull, University of Bristol, United Kingdom

MA-PA.13: IMPACT OF IMAGE APPEAL ON VISUAL ATTENTION DURING PHOTO ................231TRIAGINGSyed Omer Gilani, National University of Singapore, Singapore; Ramanathan Subramanian, Advanced Digital Sciences Center, Singapore; Huang Hua, National University of Singapore, Singapore; Stefan Winkler, Advanced Digital Sciences Center, Singapore; Shih-Cheng Yen, National University of Singapore, Singapore

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MA-PA.14: 2D MEL-CEPSTRUM BASED SALIENCY DETECTION .....................................................236Nevrez Imamoglu, Chiba University, Japan; Yuming Fang, Nanyang Technological University, Singapore; Wenwei Yu, Chiba University, Japan; Weisi Lin, Nanyang Technological University, Singapore

MA-PB: INTERPOLATION, FILTER BANKS AND HIERARCHICAL PROCESSING

MA-PB.1: INTEGER FAST LAPPED BIORTHOGONAL TRANSFORM VIA APPLICATIONS ......800OF DCT MATRICES AND DYADIC-VALUED FACTORS FOR LIFTING COEFFICIENT BLOCKSTaizo Suzuki, Hiroyuki Kudo, University of Tsukuba, Japan

MA-PB.2: DTCWT BASED MEDICAL ULTRASOUND IMAGES DESPECKLING USING ..............805LS PARAMETER OPTIMIZATIONYi Wang, Xiaowei Fu, Li Chen, Sheng Ding, Jing Tian, Wuhan University of Science and Technology, China

MA-PB.3: PARALLELIZED 45 DEGREES ROTATED IMAGE INTEGRATION .................................810Michael Schweitzer, Hanno Jaspers, Universitaet der Bundeswehr Muenchen, Germany; Tim Kubertschak, UniBw Muenchen, Germany; Hans-Joachim Wuensche, Universitaet der Bundeswehr Muenchen, Germany

MA-PB.4: IMPROVED ELLIPSE FITTING BY CONSIDERING THE ECCENTRICITY ..................815OF DATA POINT SETSPankaj Kumar, Jinhai Cai, Stanley Miklavcic, Phenomics and Bioinformatics Research Centre, Australia

MA-PB.5: SCALE-SPACE COMPRESSION AND ITS APPLICATION USING SPECTRAL .............820THEORYGou Koutaki, Keiich Uchimura, Kumamoto University, Japan

MA-PB.6: STRUCTURED LEARNING FOR CROWD MOTION SEGMENTATION...........................824Habib Ullah, Nicola Conci, University of Trento, Italy

MA-PB.7: A GENERALIZED DATA-DRIVEN HAMILTONIAN MONTE CARLO FOR ...................829HIERARCHICAL ACTIVITY SEARCHRicky Sethi, Hyunjoon Jo, USC Information Sciences Institute, United States; Amit Roy-Chowdhury, UCR, United States

MA-PB.8: CIRCULANT STRUCTURES AND GRAPH SIGNAL PROCESSING...................................834Venkatesan Nallampatti Ekambaram, Giulia Fanti, Babak Ayazifar, Kannan Ramchandran, University of California, Berkeley, United States

MA-PB.9: HIERARCHICAL OBB-SPHERE TREE FOR LARGE-SCALE RANGE DATA ................839MANAGEMENTHoang-Phong Nguyen, Seungpyo Hong, Jinwook Kim, Korea Institute of Science and Technology, Republic of Korea

MA-PB.10: A DIRECTIONAL SHOCK DIFFUSION APPROACH TO SINGLE IMAGE ....................844SUPER-RESOLUTIONZuofeng Zhou, Xi’an Optics and Precision Mechanics of Chinese Academy of Sciences, China; Guoliang Fan, Oklahoma State University, United States

MA-PB.11: DESIGN OF SYNTHESIS FILTER BANKS FOR THE STRUCTURAL .............................849SIMILARITY INDEXLi Chai, Yuxia Sheng, Wuhan University of Science and Technology, China; Jingxin Zhang, Swinburne University of Technology, Australia

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MA-PB.12: SUPER-RESOLUTION THROUGH NON-LINEAR ENHANCEMENT .............................854FILTERSMasaru Sakurai, Yasuhiro Sakuta, Masashi Watanabe, Tomio Goto, Satoshi Hirano, Nagoya Institute of Technology, Japan

MA-PB.13: EDGE CURVE SCALING AND SMOOTHING WITH CUBIC SPLINE ............................859INTERPOLATIONWei-Chen Wu, Tsun-Hsien Wang, Ching-Te Chiu, National Tsing Hua University, Taiwan

MA-PB.14: MULTICHANNEL SAMPLING OF LOW LIGHT LEVEL SCENES WITH .....................863UNKNOWN SHIFTSJunjun Zhang, Feng Yang, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland; Thomas Vogelsang, David Stork, RAMBUS INC., United States; Martin Vetterli, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

MA-PC: 3D VIDEO CODING

MA-PC.1: IMPROVED DEPTH-BASED MOTION VECTOR PREDICTION IN 3D ..........................1690VIDEO CODINGJin Young Lee, Ho-Cheon Wey, Du-Sik Park, Samsung Electronics, Republic of Korea

MA-PC.2: VIEW SYNTHESIS PREDICTION USING ADAPTIVE DEPTH ........................................1694QUANTIZATION FOR 3D VIDEO CODINGFeng Zou, Dong Tian, Anthony Vetro, Mitsubishi Electric Research Laboratories, United States; Antonio Ortega, University of Southern California, United States

MA-PC.3: TEXTURE SIDE INFORMATION GENERATION FOR DISTRIBUTED .........................1699CODING OF VIDEO-PLUS-DEPTHMatteo Salmistraro, Technical University of Denmark, Denmark; Lars Lau Rakêt, University of Copenhagen, Denmark; Marco Zamarin, Anna Ukhanova, Søren Forchhammer, Technical University of Denmark, Denmark

MA-PC.4: CODING OF MIXED-RESOLUTION MULTIVIEW VIDEO IN 3D VIDEO .....................1704APPLICATIONPayman Aflaki, TUT / Nokia, Finland; Wenyi Su, University of Science and Technology of China, China; Michal Joachimiak, TUT / Nokia, Finland; Dmytro Rusanovskyy, Nokia, Finland; Miska M. Hannuksela, Nokia Research Center, Finland; Houqiang Li, University of Science and Technology of China, China; Moncef Gabbouj, TUT, Finland

MA-PC.5: MODIFICATION OF THE MERGE CANDIDATE LIST FOR DEPENDENT ..................1709VIEWS IN 3D-HEVCElie Gabriel Mora, Joel Jung, Orange Labs, France; Marco Cagnazzo, Beatrice Pesquet-Popescu, Télécom ParisTech, France

MA-PC.6: NOVEL DISTORTION METRIC FOR DEPTH CODING OF 3D VIDEO ..........................1714Rui Ma, The Hong Kong University of Science & Technology, Hong Kong SAR of China; Ngai-Man Cheung, Singapore University of Technology and Design, Singapore; Oscar C. Au, The Hong Kong University of Science & Technology, Hong Kong SAR of China; Dong Tian, Mitsubishi Electric Research Laboratories, United States

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MA-PC.7: DISPARITY-ADJUSTED 3D MULTI-VIEW VIDEO CODING WITH DYNAMIC ..........1719BACKGROUND MODELLINGManoranjan Paul, Christopher Evans, Charles Sturt University, Australia; Manzur Murshed, Monash University, Australia

MA-PC.8: CLASSIFICATION BASED FAST MODE DECISION FOR STEREO VIDEO .................1724CODINGTing Yu, Yuan Zhang, Communication University of China, China; Pamela C. Cosman, University of California, San Diego, United States

MA-PC.9: BACKWARD VIEW SYNTHESIS PREDICTION FOR 3D-HEVC ......................................1729Dong Tian, Feng Zou, Anthony Vetro, Mitsubishi Electric Research Laboratories, United States

MA-PC.10: SYNTHESIZED DISPARITY VECTORS FOR 3D VIDEO CODING ................................1734Yin Zhao, Yichen Zhang, Peng Lu, Lu Yu, Zhejiang University, China

MA-PC.11: TEXTURE MODE DEPENDENT DEPTH CODING IN 3D-HEVC ....................................1738Xin Zhao, Ying Chen, Li Zhang, Marta Karczewicz, Qualcomm Technology Inc., China

MA-PC.12: MOTION VECTOR ANALYSIS BASED HOMOGRAPHY ESTIMATION FOR ...........1742EFFICIENT HEVC COMPRESSION OF 2D AND 3D NAVIGATION VIDEO SEQUENCESDominic Springer, University Erlangen-Nuremberg, Germany; Franz Simmet, Dieter Niederkorn, AUDI, Germany; André Kaup, University Erlangen-Nuremberg, Germany

MA-PC.13: ADVANCED RESIDUAL PREDICTION IN 3D-HEVC........................................................1747Xiang Li, Li Zhang, Ying Chen, Qualcomm Technology Inc., United States

MA-PC.14: NONLINEAR DEPTH REPRESENTATION FOR 3D VIDEO CODING ...........................1752Olgierd Stankiewicz, Krzysztof Wegner, Marek Domanski, Poznan University of Technology, Poland

MA-PD: 3D IMAGE PROCESSING AND CAMERA CALIBRATION

MA-PD.1: SINGLE-IMAGE 3-D DEPTH ESTIMATION FOR URBAN SCENES ................................2121Hsin-Min Cheng, Chen-Yu Tseng, National Chiao Tung University, Taiwan; Cheng-Ho Hsin, Feng Chia University, Taiwan; Sheng-Jyh Wang, National Chiao Tung University, Taiwan

MA-PD.2: CONSENSUS-BASED MULTIVIEW TEXTURING AND DEPTH-MAP ...........................2126COMPLETIONKai Ide, Ivo Keller, Thomas Sikora, Technische Universität Berlin, Germany

MA-PD.3: IMAGE COMPLETION FOR VIEW SYNTHESIS USING MARKOV RANDOM ...........2131FIELDS AND EFFICIENT BELIEF PROPAGATIONJulian Habigt, Klaus Diepold, Technische Universität München, Germany

MA-PD.4: REAL-TIME ACQUISITION AND SUPER-RESOLUTION TECHNIQUES ON ..............21353D RECONSTRUCTIONJong Wan Silva, Leonardo Gomes, Karl Apaza Aguero, Olga Regina Bellon, Luciano Silva, Universidade Federal do Parana, Brazil

MA-PD.5: HIGH-RESOLUTION SURFACE RECONSTRUCTION BASED ON .................................2140MULTI-LEVEL IMPLICIT SURFACE FROM MULTIPLE RANGE IMAGESShohei Noguchi, Yoshihiro Watanabe, Masatoshi Ishikawa, The University of Tokyo, Japan

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MA-PD.6: 3D RECONSTRUCTION OF URBAN ENVIRONMENTS USING ......................................2145IN-VEHICLE FISHEYE CAMERAJumpei Ishii, Shuji Sakai, Koichi Ito, Takafumi Aoki, Tohoku University, Japan; Takura Yanagi, Toshiyuki Ando, Nissan Motor Company, Japan

MA-PD.7: SINGLE IMAGE GROUND PLANE ESTIMATION ..............................................................2149Amir Rahimi, Hadi Moradi, Reza A. Zoroofi, University of Tehran, Iran (Islamic Republic of)

MA-PD.8: THE NON-LAMBERTIAN REFLECTION IN PLENOPTIC SAMPLING ..........................2154Peng Zhou, Li Yu, Gang Zhong, HuaZhong University of Science and Technology, China

MA-PD.9: HIERARCHICAL 3D LINE RESTORATION BASED ON ANGULAR PROXIMITY .....2158IN STRUCTURED ENVIRONMENTSKyungdon Joo, Tae-Hyun Oh, Hyeongwoo Kim, In So Kweon, Korea Advanced Institute of Science and Technology, Republic of Korea

MA-PD.10: DETECTION OF 3D POINTS ON MOVING OBJECTS FROM POINT ..........................2163CLOUD DATA FOR 3D MODELING OF OUTDOOR ENVIRONMENTSTsunetake Kanatani, Hyogo Prefectural Institute of Technology / Nara Institute of Science and Technology, Japan; Hideyuki Kume, Takafumi Taketomi, Tomokazu Sato, Naokazu Yokoya, Nara Institute of Science and Technology, Japan

MA-PD.11: DESIGN AND DECODING OF AN M-ARRAY PATTERN FOR LOW-COST ...............2168STRUCTURED LIGHT 3D RECONSTRUCTION SYSTEMSYang Lei, Purdue University, United States; Kurt R. Bengtson, Lisa Li, Hewlett-Packard Company, United States; Jan P. Allebach, Purdue University, United States

MA-PD.12: DEPTH ENHANCEMENT BASED ON HYBRID GEOMETRIC HOLE ..........................2173FILLING STRATEGYLu Sheng, King Ngi Ngan, The Chinese University of Hong Kong, Hong Kong SAR of China

MA-PD.13: VISION-BASED ROBUST CALIBRATION FOR OPTICAL SEE-THROUGH ..............2177HEAD-MOUNTED DISPLAYSNaoya Makibuchi, Haruhisa Kato, Akio Yoneyama, KDDI R&D Laboratories, Inc, Japan

MA-PD.14: A NOVEL ITERATIVE CALIBRATION APPROACH FOR THERMAL INFRARED ..2182CAMERASAndreas Ellmauthaler, Eduardo Antônio Barros da Silva, Universidade Federal do Rio de Janeiro, Brazil; Carla Liberal Pagliari, Instituto Militar de Engenharia, Brazil; Jonathan Nogueira Gois, Universidade Federal do Rio de Janeiro, Brazil; Sergio Neves, Instituto de Pesquisas da Marinha, Brazil

MA-PE: IMAGE ANALYSIS

MA-PE.1: SIMILARITY PRESERVING ANALYSIS BASED ON SPARSE .........................................3013REPRESENTATION FOR IMAGE FEATURE EXTRACTION AND CLASSIFICATIONQian Liu, Xiao-Yuan Jing, Nanjing University of Posts and Telecommunications / Wuhan University, China; Ruimin Hu, Wuhan University, China; Yong-Fang Yao, Nanjing University of Posts and Telecommunications / Wuhan University, China; Jing-Yu Yang, Nanjing University of Science and Technology, China

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MA-PE.2: A NOVEL SIMILARITY-INVARIANT LINE DESCRIPTOR FOR GEOMETRIC ..........3017MAP REGISTRATIONGilbert Yammine, Eugen Wige, University of Erlangen-Nuremberg, Germany; Franz Simmet, Dieter Niederkorn, Audi AG, Germany; André Kaup, University of Erlangen-Nuremberg, Germany

MA-PE.3: SCALE INVARIANT LINE MATCHING ON THE SPHERE................................................3022Dieu Sang Ly, Ecole des Mines de Paris, France; Cédric Demonceaux, Ralph Seulin, Yohan Fougerolle, Le2i, IUT Le Creusot, France

MA-PE.4: SELF-ADJUSTED ACTIVE CONTOURS USING MULTI-DIRECTIONAL .....................3026TEXTURE CUESEleftheria Mylona, Michalis Savelonas, Dimitris Maroulis, University of Athens, Greece

MA-PE.5: VECTOR MATHEMATICAL MORPHOLOGICAL OPERATORS BASED ON ..............3031FUZZY EXTREMUM ESTIMATIONTao Lei, Lanzhou Jiao tong University, China; Yangyu Fan, Chenrui Zhang, Northwestern Polytechnical University, China; Xiaopeng Wang, Lanzhou Jiao tong University, China

MA-PE.6: WELL-COMPOSED IMAGES AND RIGID TRANSFORMATIONS ...................................3035Phuc Ngo, Paris-Est University, France; Nicolas Passat, Reims University, France; Yukiko Kenmochi, Hugues Talbot, Paris-Est University, France

MA-PE.7: A QUATERNION GRADIENT OPERATOR FOR COLOR IMAGE EDGE ......................3040DETECTIONLianghai Jin, Enmin Song, Lei Li, Xiang Li, HuaZhong University of Science and Technology, China

MA-PE.8: EXTRACTION OF LINE SEGMENTS IN CLUTTERED IMAGES VIA ............................3045MULTISCALE EDGESRui Guerreiro, Pedro Aguiar, Institute for Systems and Robotics / Instituto Superior Tecnico, Portugal

MA-PE.9: LEARNING BOUNDARIES WITH COLOR AND DEPTH ...................................................3049Zhaoyin Jia, Andrew Gallagher, Tsuhan Chen, Cornell University, United States

MA-PE.10: CONTOUR TREE CONNECTIVITY OF BINARY IMAGES FROM ...............................3054ALGEBRAIC GRAPH THEORYDogu Baran Aydogan, Jari Hyttinen, Tampere University of Technology, Finland

MA-PE.11: RIDGE DETECTION USING SAVITZKY-GOLAY FILTERING AND ...........................3059STEERABLE SECOND-ORDER GAUSSIAN DERIVATIVESAbin Jose, Sunder Ram Krishnan, Chandra Sekhar Seelamantula, Indian Institute of Science, India

MA-PE.12: VERTICAL CORNER LINE DETECTION ON BUILDINGS IN .......................................3064QUASI-MANHATTAN WORLDBaojiang Zhong, Soochow University, China; Dongsheng Xu, Huawei Research and Development Park, China; Jiwen Yang, Soochow University, China

MA-PE.13: PROBABILISTIC SALIENT OBJECT CONTOUR DETECTION BASED ON ...............3069SUPERPIXELSHuaizu Jiang, Xi’an Jiaotong University, China; Yang Wu, Kyoto University, Japan; Zejian Yuan, Xi’an Jiaotong University, China

MA-PE.14: HAAR-LIKE FEATURES FOR ROBUST REAL-TIME FACE RECOGNITION ............3073Kamal Nasrollahi, Thomas B. Moeslund, Aalborg University, Denmark

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MA-PF: OBJECT RECOGNITION & CLASSIFICATION

MA-PF.1: SET-BASED CLASSIFICATION FOR PERSON RE-IDENTIFICATION ..........................3078UTILIZING MUTUAL-INFORMATIONHao Liu, University of Chinese Academy of Sciences, China; Lei Qin, Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, China; Zhongwei Cheng, Qingming Huang, University of Chinese Academy of Sciences, China

MA-PF.2: A DISCRIMINATIVE DOMAIN ADAPTATION MODEL FOR CROSS-DOMAIN .........3083IMAGE CLASSIFICATIONYen-Cheng Chou, Chia-Po Wei, Yu-Chiang Frank Wang, Academia Sinica, Taiwan

MA-PF.3: REAL-TIME HUMAN DETECTION AND TRACKING IN COMPLEX ............................3088ENVIRONMENTS USING SINGLE RGBD CAMERAJun Liu, Ye Liu, Ying Cui, Yan Qiu Chen, Fudan University, China

MA-PF.4: TRACKING-BASED MOVING OBJECT DETECTION ........................................................3093Hao Shen, Shuxiao Li, Institute of Automation, Chinese Academy of Sciences, China; Jinglan Zhang, Queensland University of Technology, Australia; Hongxing Chang, Institute of Automation, Chinese Academy of Sciences, China

MA-PF.5: PERSON RE-IDENTIFICATION USING MATRIX COMPLETION ...................................3098Kai Liu, Xin Guo, Zhicheng Zhao, Anni Cai, Beijing University of Posts and Telecommunications, China

MA-PF.6: ROBUST OBJECT TRACKING USING BI-MODEL..............................................................3103Zhi Zhou, Nanyang Technological University, Singapore; Yue Wang, Institute for Infocomm Research, Singapore; Eam Khwang Teoh, Nanyang Technological University, Singapore

MA-PF.7: ROBUST MULTI-PATCH TRACKING ....................................................................................3108Shanxin Yuan, Jun Miao, Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, China; Laiyun Qing, University of Chinese Academy of Sciences, China

MA-PF.8: SYNTHETIC TRAINING IN OBJECT DETECTION .............................................................3113Osama Khalil, Mohammed E. Fathy, Dina El Kholy, Motaz El Saban, Pushmeet Kohli, Jamie Shotton, Yasmine Badr, Microsoft Advanced Technology Lab in Cairo, Egypt

MA-PF.9: FAST HUMAN DETECTION USING TEMPLATE MATCHING FOR GRADIENT ........3118IMAGES AND ASC DESCRIPTORS BASED ON SUBTRACTION STEREOMakoto Arie, Masatoshi Shibata, Chuo University, Japan; Kenji Terabayashi, Shizuoka University, Japan; Alessandro Moro, Kazunori Umeda, Chuo University, Japan

MA-PF.10: NEUROFILAMENT TRACKING BY DETECTION IN FLUORESCENCE ....................3123MICROSCOPY IMAGESJunda Zhu, University of Macau, China; Liang Yuan, Xinjiang University, China

MA-PF.11: MULTIPLE MARKER TRACKING IN A SINGLE-CAMERA SYSTEM FOR ...............3128GAIT ANALYSISCheng Yang, University of Strathclyde, United Kingdom; Ukadike Ugbolue, University of the West of Scotland, United Kingdom; Bruce Carse, Vladimir Stankovic, Lina Stankovic, Philip Rowe, University of Strathclyde, United Kingdom

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MA-PF.12: MINING HETEROGENEOUS CLASS-SPECIFIC CODEBOOK FOR .............................3132CATEGORICAL OBJECT DETECTION AND CLASSIFICATIONHong Pan, Southeast University, China; Yaping Zhu, Communication University of China, China; A. K. Qin, RMIT University, Australia; Liangzheng Xia, Southeast University, China

MA-PF.13: A HYPERGRAPH BASED SEMI-SUPERVISED BAND SELECTION METHOD ..........3137FOR HYPERSPECTRAL IMAGE CLASSIFICATIONZhouxiao Guo, Xiao Bai, Beihang University, China; Zhihong Zhang, Xiamen University, China; Jun Zhou, Griffith University, Australia

MA-PG: RENDERING AND SYNTHESIS OF IMAGE AND VIDEO

MA-PG.1: REAL-TIME KEYSTONE CORRECTION FOR HAND-HELD PROJECTORS ..............3142WITH AN RGBD CAMERAWeipeng Xu, Yongtian Wang, Yue Liu, Dongdong Weng, Mengwen Tan, Beijing Institute of Technology, China; Mathieu Salzmann, National Information and Communication Technology Australia, Australia

MA-PG.2: NON-UNIFORM SAMPLING OF PLENOPTIC SIGNAL BASED ON THE .....................3147SCENE COMPLEXITY VARIATIONS FOR A FREE VIEWPOINT VIDEO SYSTEMHooman Shidanshidi, Farzad Safaei, University of Wollongong, Australia; Arash Zamani-Farahani, Bahá’í Institute for Higher Education, Iran; Wanqing Li, University of Wollongong, Australia

MA-PG.3: WATERSHED BASED DEPTH MAP MISALIGNMENT CORRECTION AND ...............3152FOREGROUND BIASED DILATION FOR DIBR VIEW SYNTHESISXuyuan Xu, Lai-Man Po, City University of Hong Kong, Hong Kong SAR of China; Kwok-Wai Cheung, Chu Hai College of Higher Education, Hong Kong SAR of China; Litong Feng, Chun-Ho Cheung, City University of Hong Kong, Hong Kong SAR of China

MA-PG.4: DIRECT AND PROGRESSIVE RECONSTRUCTION OF DUAL .......................................3157PHOTOGRAPHY IMAGESBinh-Son Hua, National University of Singapore, Singapore; Imari Sato, National Institute of Informatics, Japan; Kok-Lim Low, National University of Singapore, Singapore

MA-PG.5: PROBABILISTIC WHITE STRIP APPROACH TO PLASTIC BOTTLE ..........................3162SORTING SYSTEMMohd Asyraf Zulkifley, Mohd. Marzuki Mustafa, Aini Hussain, Universiti Kebangsaan Malaysia, Malaysia

MA-PG.6: TEMPORALLY MULTIPLE DYNAMIC TEXTURES SYNTHESIS USING ....................3167PIECEWISE LINEAR DYNAMIC SYSTEMSXing Yan, Hong Chang, Xilin Chen, Institute of Computing Technology, Chinese Academy of Sciences, China

MA-PG.7: INTERMEDIATE VIEW SYNTHESIS BASED ON EDGE DETECTING ...........................3172Yangang Cai, Ronggang Wang, Peking University Shenzhen Graduate School, China; Tongbing Cui, Hao Lv, Siwei Ma, Peking University, China

MA-PG.8: SYNTHESIS DISTORTION ESTIMATION IN 3D VIDEO USING .....................................3176FREQUENCY AND SPATIAL ANALYSISLu Fang, University of Science and Technology of China, China; Ngai-Man Cheung, Singapore University of Technology and Design, Singapore; Dong Tian, Anthony Vetro, Huifang Sun, Mitsubishi Electric Research Laboratories, United States; Lu Yu, Zhejiang University, China

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MA-PG.9: NON-CAUSAL NON-PARAMETRIC MULTI-SCALE MARKOV RANDOM FIELD .....3181SYNTHESIS OF VOLUMETRIC TEXTURES FROM A UNIQUE 2D SAMPLERadu-Dragos Urs, University of Bordeaux, IMS Laboratory, CNRS UMR 5218, France; Jean-Pierre Da Costa, Christian Germain, University of Bordeaux, IMS Laboratory, CNRS UMR 5218; Bordeaux Sciences Agro, France

MA-PG.10: OPTIMIZING CROWD SIMULATION BASED ON REAL VIDEO DATA .....................3186Zhixing Jin, Bir Bhanu, University of California, Riverside, United States

MA-PG.11: PARALLEL PHASE UNWRAPPING IN 3D SHAPE MEASUREMENT USING ............3191DIGITAL FRINGE PROJECTION TECHNIQUEMuniba Ashfaq, Nasru Minallah, Syed Mohsin Matloob Bokhari, University of Engineering and Technology, Peshawar, Pakistan; Irfan Ud Din, University of Incheon, Republic of Korea; Muhammad Hanif, NICTA and The ANU College of Engineering and Computer Science, Canberra, Pakistan; Khawaja Muhammad Yahya, University of Engineering and Technology, Peshawar, Pakistan

MA-PG.12: COMBINED HOLE-FILLING WITH SPATIAL AND TEMPORAL ................................3196PREDICTIONWenxin Yu, Wei Chen Wang, Gang He, Satoshi Goto, Waseda University, Japan

MA-PG.13: INTELLIGENT EXPOSURE DETERMINATION FOR HIGH QUALITY HDR ............3201IMAGE GENERATIONKun-Fang Huang, Jui-Chiu Chiang, National Chung Cheng University, Taiwan

MA-PG.14: AN AUTOMATIC FRAMEWORK FOR EXAMPLE-BASED VIRTUAL MAKEUP ......3206Lin Xu, Yangzhou Du, Yimin Zhang, Intel, China

MP-L1: VIDEO QUALITY ASSESSMENT

MP-L1.1: STEREOSCOPIC VIDEO QUALITY ASSESSMENT BASED ON STEREO ..........................34JUST-NOTICEABLE DIFFERENCE MODELFeng Qi, Harbin Institute of Technology, China; Tingting Jiang, National Engineering Lab for Video Technology / Peking University, China; Xiaopeng Fan, Harbin Institute of Technology, China; Siwei Ma, National Engineering Lab for Video Technology, China; Debin Zhao, Harbin Institute of Technology, China

MP-L1.2: QUALITY ASSESSMENT METHODS FOR PERCEPTUAL VIDEO ......................................39COMPRESSIONFan Zhang, David Bull, University of Bristol, United Kingdom

MP-L1.3: LENGTH-INDEPENDENT REFINEMENT OF VIDEO QUALITY METRICS .....................44BASED ON MULTIWAY DATA ANALYSISClemens Horch, Christian Keimel, Julian Habigt, Klaus Diepold, Technische Universität München, Germany

MP-L1.4: A NO-REFERENCE VIDEO QUALITY ASSESSMENT BASED ON LAPLACIAN ..............49PYRAMIDSKongfeng Zhu, University of Konstanz, Germany; Keigo Hirakawa, Vijayan Asari, University of Dayton, United States; Dietmar Saupe, University of Konstanz, Germany

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MP-L1.5: A SPATIOTEMPORAL NO-REFERENCE VIDEO QUALITY ASSESSMENT .....................54MODELBaris Konuk, Middle East Technical University/Aselsan Inc., Turkey; Emin Zerman, Middle East Technical University, Turkey; Gokce Nur, Kirikkale University, Turkey; Gozde Bozdagi Akar, Middle East Technical University, Turkey

MP-L1.6: OBJECTIVE QUALITY METRICS FOR VIDEO SCALABILITY ...........................................59Adrien Besson, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland; Francesca De Simone, Télécom ParisTech, France; Touradj Ebrahimi, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

MP-L1.7: PERFORMANCE EVALUATION OF OBJECTIVE VIDEO QUALITY METRICS .............64ON MIXED SPATIOTEMPORAL RESOLUTION CONTENTRobert Stapenhurst, Jinyun Lu, Dimitris Agrafiotis, University of Bristol, United Kingdom

MP-L2: FILTERING, REGRESSION AND PDES I

MP-L2.1: FAST L1 SMOOTHING SPLINES WITH AN APPLICATION TO KINECT .......................504DEPTH DATAMariano Tepper, Guillermo Sapiro, Duke University, United States

MP-L2.2: MULTIDIMENSIONAL OVERLAP-ADD AND OVERLAP-SAVE FOR ..............................509CORRELATION AND CONVOLUTIONJoseph A. Fernandez, B.V.K. Vijaya Kumar, Carnegie Mellon University, United States

MP-L2.4: FAST GAUSSIAN FILTER WITH SECOND-ORDER SHIFT PROPERTY OF ...................514DCT-5Kenjiro Sugimoto, Sei-ichiro Kamata, Waseda University, Japan

MP-L2.5: FACIAL LANDMARK LOCALIZATION VIA BOOSTED AND ADAPTIVE FILTERS .....519Lu Bing Zhou, Han Wang, Nanyang Technological University, Singapore

MP-L2.6: AN ACTIVE CONTOUR MODEL BASED ON MULTIPLE BOUNDARY ...........................524MEASURESLei Zhou, Yu Qiao, Lei Zhou, Jie Yang, Yonghui Gao, Shanghai Jiao Tong University, China

MP-L2.7: A VOLUME-BASED METHOD FOR DENOISING ON CURVED SURFACES ....................529Harry Biddle, Double Negative Visual Effects, United Kingdom; Ingrid von Glehn, Colin B. MacDonald, Thomas Maerz, University of Oxford, United Kingdom

MP-L3: HEVC I

MP-L3.1: GENERALIZED INTER-LAYER RESIDUAL PREDICTION FOR SCALABLE ..............1559EXTENSION OF HEVCXiang Li, Jianle Chen, Krishna Rapaka, Marta Karczewicz, Qualcomm Technology Inc., United States

MP-L3.2: EFFICIENT VIDEO RESOLUTION ADAPTATION USING SCALABLE .........................1563H.265/HEVCHoda Roodaki, Tampere University of Technology / Nokia Research Center, Finland; Kemal Ugur, Miska M. Hannuksela, Nokia Research Center, Finland; Moncef Gabbouj, Tampere University of Technology, Finland

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MP-L3.3: A HIGH-PERFORMANCE CABAC ENCODER ARCHITECTURE FOR HEVC .............1568AND H.264/AVCJinjia Zhou, Dajiang Zhou, Wei Fei, Satoshi Goto, Waseda University, Japan

MP-L3.4: FAST TRANSRATING FOR HIGH EFFICIENCY VIDEO CODING BASED ON ............1573MACHINE LEARNINGLuong Pham Van, Jan De Cock, Glenn Van Wallendael, Sebastiaan Van Leuven, Ghent University - iMinds - Multimedia Lab, Belgium; Rafael Rodríguez-Sánchez, José Luis Martínez, Instituto de Investigacion en Informatica de Albacete, Universidad de Castilla–La Mancha, Spain; Peter Lambert, Rik Van de Walle, Ghent University - iMinds - Multimedia Lab, Belgium

MP-L3.5: AN ADAPTIVE COMPLEXITY REDUCTION SCHEME WITH FAST .............................1578PREDICTION UNIT DECISION FOR HEVC INTRA ENCODINGMuhammad Usman Karim Khan, Muhammad Shafique, Jörg Henkel, Karlsruhe Institute of Technology (KIT), Germany

MP-L3.6: SINGLE-LOOP SNR SCALABILITY USING BINARY RESIDUAL ....................................1583REFINEMENT CODINGChristian Feldmann, Fabian Jäger, Juliana Hsu, Mathias Wien, RWTH Aachen University, Germany

MP-L3.7: CONFIDENCE INTERVAL BASED MOTION ESTIMATION..............................................1588Nan Hu, En-hui Yang, University of Waterloo, Canada

MP-L4: MULTISPECTRAL AND HYPERSPECTRAL IMAGING

MP-L4.1: EVALUATING THE PERCEIVED QUALITY OF SPECTRAL IMAGES ...........................2024Steven Le Moan, Philipp Urban, Technische Universität Darmstadt, Germany

MP-L4.2: SR-LLA: A NOVEL SPECTRAL RECONSTRUCTION METHOD BASED ON ................2029LOCALLY LINEAR APPROXIMATIONHongyu Li, Zhujing Wu, Lin Zhang, Tongji University, China; Jussi Parkkinen, Monash University Sunway Campus, Malaysia

MP-L4.3: A METHOD FOR ESTIMATING LIGHT DIRECTION, SHAPE, AND ..............................2034REFLECTION PARAMETERS FROM A SINGLE IMAGESejuti Rahman, Antonio Robles-Kelly, Australian National University, Australia

MP-L4.4: PAN-SHARPENING BASED ON NONPARAMETRIC BAYESIAN ADAPTIVE ..............2039DICTIONARY LEARNINGJin Xie, Yue Huang, Xiamen University, China; John Paisley, University of California, Berkeley, United States; Xinghao Ding, Xiao-Ping Zhang, Xiamen University, China

MP-L4.5: AUTOMATIC EXPOSURE CONTROL FOR MULTISPECTRAL CAMERAS ..................2043Ahmed Sohaib, Australian National University, Australia; Nariman Habili, Antonio Robles-Kelly, National ICT Australia, Australia

MP-L4.6: TWO-STAGE DENOISING METHOD FOR HYPERSPECTRAL IMAGES ......................2048COMBINING KPCA AND TOTAL VARIATIONWenzhi Liao, Jan Aelterman, Gent University, Belgium; Hiep Quang Luong Luong, Ghent University, Belgium; Aleksandra Pizurica, Wilfried Philips, Gent University, Belgium

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MP-L4.7: TOWARDS MULTISPECTRAL DATA ACQUISITION WITH HAND-HELD ..................2053DEVICESRahat Khan, University of Saint Etienne, France; Joost van de Weijer, Dimosthenis Karatzas, Universitat Autònoma de Barcelona, Spain; Damien Muselet, University of Saint Etienne, France

MP-L5: MOTION AND CHANGE DETECTION

MP-L5.1: ROBUST LOCAL OPTICAL FLOW ESTIMATION USING BILINEAR ...........................2499EQUATIONS FOR SPARSE MOTION ESTIMATIONTobias Senst, Jonas Geistert, Ivo Keller, Thomas Sikora, Technische Universität Berlin, Germany

MP-L5.2: VEHICLE 6-DOF LOCALIZATION BASED ON SLAM CONSTRAINED BY GPS .........2504AND DIGITAL ELEVATION MODEL INFORMATIONDorra Larnaout, Vincent Gay-Bellile, Steve Bourgeois, Atomic Energy and Alternative Energies Commission, France; Michel Dhome, Laboratoire des sciences et matériaux pour l’electronique et d’automatique, France

MP-L5.3: ROBUST CAMERA MOTION ESTIMATION IN PRESENCE OF LARGE .......................2509MOVING OBJECTSFabrizio Tiburzi, Jesus Bescos, Universidad Autonoma de Madrid, Spain

MP-L5.4: ADAPTIVE REJECTION OF OUTLIERS FOR ROBUST MOTION ...................................2514COMPENSATION IN CARDIAC MR-THERMOMETRYAurélie Emilien, Jenny Benois Pineau, LaBRI, UMR 5800 CNRS/University Bordeaux I, France; Delphine Elbes, Bruno Quesson, IHU LIRYC/ CRCTB, INSERM U1045, University Bordeaux Segalen, France

MP-L5.5: REGISTRATION AND OCCLUSION DETECTION IN MOTION BLUR ...........................2519Abhijith Punnappurath, Rajagopalan Ambasamudram. N., Indian Institute of Technology Madras, India; Guna Seetharaman, United States Air Force Research Laboratory, United States

MP-L5.6: BACKGROUND MODELING THROUGH DICTIONARY LEARNING .............................2524Alessandra Staglianò, Nicoletta Noceti, Alessandro Verri, Francesca Odone, Università degli Studi di Genova, Italy

MP-L5.7: SCENE CHANGE DETECTION IN ENCRYPTED VIDEO BIT STREAMS .......................2529Savvas Argyropoulos, Peter List, Marie-Neige Garcia, Bernhard Feiten, Telekom Innovation Laboratories (T-Labs), Germany; Martin Pettersson, Ericsson Research, Sweden; Alexander Raake, Telekom Innovation Laboratories (T-Labs), Germany

MP-L6: SHAPE AND POSE ESTIMATION

MP-L6.1: MODEL-BASED FOOD VOLUME ESTIMATION USING 3D POSE ...................................2534Chang Xu, Ye He, Purdue University, United States; Nitin Khanna, Graphic Era University, India; Carol Boushey, University of Hawaii Cancer Center, United States; Edward Delp, Purdue University, United States

MP-L6.2: SELF-OCCLUSION AND 3D POSE ESTIMATION IN STILL IMAGES .............................2539Julio Cezar Silveira Jacques Junior, Leandro Lorenzett Dihl, Pontifícia Universidade Católica do Rio Grande do Sul, Brazil; Cláudio Rosito Jung, Universidade Federal do Rio Grande do Sul (UFRGS), Brazil; Soraia Raupp Musse, Pontifícia Universidade Católica do Rio Grande do Sul, Brazil

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MP-L6.3: INSTANCE-SPECIFIC CANONICAL CORRELATION ANALYSIS FOR POSE .............2544ALIGNMENTDeming Zhai, Harbin Institute of Technology, China; Hong Chang, Xilin Chen, Institute of Computing Technology, Chinese Academy of Sciences, China; Wen Gao, Harbin Institute of Technology, China

MP-L6.4: FAST RELOCALIZATION FOR VISUAL ODOMETRY USING BINARY ........................2548FEATURESJulian Straub, Massachusetts Institute of Technology, United States; Sebastian Hilsenbeck, Georg Schroth, Robert Huitl, Andreas Möller, Eckehard Steinbach, Technische Universität München, Germany

MP-L6.5: ARTICULATED HUMAN POSE TRACKING BASED ON GAME THEORY ....................2553Chenguang Liu, Hengda Cheng, Vicki Allan, Utah State University, United States

MP-L6.6: RECONSTRUCTION OF DEPTH AND NORMALS FROM .................................................2557INTERREFLECTIONSBinh-Son Hua, National University of Singapore, Singapore; Tian-Tsong Ng, Institute for Infocomm Research, Singapore; Kok-Lim Low, National University of Singapore, Singapore

MP-L6.7: NOVEL VARIATIONAL APPROACH FOR THE PERSPECTIVE SHAPE FROM ..........2562SHADING PROBLEM USING CALIBRATED IMAGESAly Abdelrahim, University of Louisville, United States; Hossam Abdelmunim, Ain Shams University, Egypt; James Graham, Aly Farag, University of Louisville, United States

MP-L7: ADVANCED IMAGE ANNOTATION AND RETRIEVAL

MP-L7.1: MULTI-SOURCE IMAGE AUTO-ANNOTATION ..................................................................2567Zijia Lin, Guiguang Ding, Tsinghua University, China; Mingqing Hu, Chinese Academy of Sciences, China

MP-L7.2: A NOVEL PAIR-WISE IMAGE MATCHING STRATEGY WITH COMPACT ................2572DESCRIPTORSShuang Yang, Ling-Yu Duan, Jie Lin, Tiejun Huang, Peking University, China

MP-L7.3: AUTOMATED IDENTIFICATION AND RETRIEVAL OF MOTH IMAGES WITH .......2577SEMANTICALLY RELATED VISUAL ATTRIBUTES ON THE WINGSLinan Feng, Bir Bhanu, University of California, Riverside, United States

MP-L7.4: LARGE SCALE IMAGE RETRIEVAL WITH VISUAL GROUPS........................................2582Lican Dai, University of Science and Technology of China, China; Xiaoyan Sun, Feng Wu, Microsoft Research Asia, China; Nenghai Yu, University of Science and Technology of China, China

MP-L7.5: DISCRIMINATIVE PROBABILISTIC KERNEL LEARNING FOR IMAGE ....................2587RETRIEVALBin Wang, Yuncai Liu, Shanghai Jiao Tong University, China

MP-L7.7: MULTI-BIN SEARCH: IMPROVED LARGE-SCALE CONTENT-BASED IMAGE ........2597RETRIEVALAbdelrahman Kamel, Youssef Mahdi, Khaled Hussain, Assiut University, Egypt

MP-L8: IMAGE AND VIDEO ENHANCEMENT

MP-L8.1: LOCAL WEIGHTED GAUSSIAN CURVATURE FOR IMAGE PROCESSING ..................534Yuanhao Gong, Ivo F. Sbalzarini, Max Planck Institute of Molecular Cell Biology and Genetics, Germany

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MP-L8.2: SIGNAL AND IMAGE DENOISING WITHOUT REGULARIZATION .................................539Vittoria Bruni, University of Rome ‘La Sapienza’, Italy; Domenico Vitulano, National Council of Research (CNR), Italy

MP-L8.3: ADAPTIVE NON-LOCAL MEANS FOR MULTIVIEW IMAGE ...........................................543DENOISING:SEARCHING FOR THE RIGHT PATCHES VIA A STATISTICAL APPROACHEnming Luo, University of California, San Diego, United States; Stanley H. Chan, Harvard University, United States; Shengjun Pan, Truong Q. Nguyen, University of California, San Diego, United States

MP-L8.4: SPATIO-TEMPORAL CELLULAR AUTOMATA-BASED FILTERING FOR IMAGE .....548SEQUENCE DENOISING: APPLICATION TO FLUOROSCOPIC SEQUENCESBlanca Priego, Integrated Group for Engineering Research, Spain; Miguel Ángel Veganzones Bodón, Jocelyn Chanussot, Gipsa-Lab, France; Carole Amiot, Thales Electron Devices, France; Abraham Prieto García, Richard José Duro Fernández, Integrated Group for Engineering Research, Spain

MP-L8.5: NIGHT VIDEO ENHANCEMENT USING IMPROVED DARK CHANNEL ........................553PRIORXuesong Jiang, Hongxun Yao, Shengping Zhang, Xiusheng Lu, Harbin Institute of Technology, China; Wei Zeng, NEC Laboratories, China, China

MP-L8.6: SPECULAR HIGHLIGHT ENHANCEMENT FROM VIDEO SEQUENCES ........................558Veronique Prinet, Michael Werman, Dani Lischinski, The Hebrew University of Jerusalem, Israel, Israel

MP-L8.7: SPARSITY-BASED SOFT DECODING OF COMPRESSED IMAGES IN ............................563TRANSFORM DOMAINXianming Liu, Xiaolin Wu, McMaster University, Canada; Debin Zhao, Harbin Institute of Technology, China

MP-PA: SCENE SENSING, CHARACTERISATION AND ANALYSIS

MP-PA.1: STRUCTURED TEXTONS FOR TEXTURE REPRESENTATION ........................................240Pengfei Xu, Xian-Ming Liu, Hongxun Yao, Yanhao Zhang, Harbin Institute of Technology, China; Shaopeng Tang, NEC Laboratories, China, China

MP-PA.2: HYPERSPECTRAL IMAGE SEGMENTATION USING A NEW SPECTRAL ...................245MIXTURE-BASED BINARY PARTITION TREE REPRESENTATIONMiguel Angel Veganzones, Guillaume Tochon, Mauro Dalla Mura, Grenoble-INP, France; Antonio J. Plaza, Universidad de Extremadura (UEX), Spain; Jocelyn Chanussot, Grenoble-INP, France

MP-PA.3: SUBREGION BASED LOCAL DESCRIPTOR...........................................................................250Xiao Jie Dong, Shanghai Jiao Tong University, China; Erqi Liu, China Aerospace Science & Industry Corp, China; Jie Yang, Shanghai Jiao Tong University, China

MP-PA.4: BRINT: A BINARY ROTATION INVARIANT AND NOISE TOLERANT ..........................255TEXTURE DESCRIPTORLi Liu, Bing Yang, National University of Defense Technology, China; Paul Fieguth, University of Waterloo, Canada; Zheng Yang, Yingmei Wei, National University of Defense Technology, China

MP-PA.5: UNSUPERVISED FEATURE LEARNING USING MARKOV DEEP BELIEF ....................260NETWORKDongyang Cheng, Tanfeng Sun, Xinghao Jiang, Shilin Wang, Shanghai Jiao Tong University, China

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MP-PA.6: A BOOSTING APPROACH TO LEARNING RECEPTIVE FIELDS FOR SCENE .............265CATEGORIZATIONHui Zhang, Yi Liu, Bojun Xie, Jian Yu, Beijing Jiaotong University, China

MP-PA.7: SKETCHING BY PERCEPTUAL GROUPING .........................................................................270Yonggang Qi, Jun Guo, Beijing University of Posts and Telecommunications, China; Yi Li, Queen Mary, University of London, United Kingdom; Honggang Zhang, Beijing University of Posts and Telecommunications, China; Tao Xiang, Yi-Zhe Song, Queen Mary, University of London, United Kingdom

MP-PA.8: A ROBUST RGB-D SLAM SYSTEM FOR 3D ENVIRONMENT WITH PLANAR .............275SURFACESPo-Chang Su, Ju Shen, Sen-ching Samson Cheung, University of Kentucky, United States

MP-PA.9: ADAPTIVE IMAGE DECOMPOSITION VIA DICTIONARY LEARNING WITH ............280STUCTURAL INCOHERENCEQiegen Liu, Jianbo Liu, Dong Liang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

MP-PA.10: INTRINSIC IMAGE EVALUATION ON SYNTHETIC COMPLEX SCENES....................285Shida Beigpour, Marc Serra, Joost van de Weijer, Robert Benavente, Maria Vanrell, Olivier Penacchio, Computer Vision Center, Spain; Dimitris Samaras, Image Analysis Lab, United States

MP-PA.11: ON DENSE SAMPLING SIZE ....................................................................................................290Xue Li, Hongxun Yao, Xiaoshuai Sun, Yanhao Zhang, Harbin Institute of Technology, China

MP-PA.12: OCCLUSION-AWARE LAYERED SCENE RECOVERY FROM LIGHT .........................295FIELDSYenting Lin, University of Southern California, United States; Ivana Tosic, Kathrin Berkner, Ricoh Innovations, Corp., United States

MP-PA.13: METRIC PLANE RECTIFICATION USING SYMMETRIC VANISHING ........................300POINTSMoran Lefler, Hagit Hel-Or, University of Haifa, Israel; Yacov Hel-Or, The Interdisciplinary Center, Israel

MP-PB: RESTORATION AND ENHANCEMENT I

MP-PB.1: PATCH-BASED BILATERAL FILTER: ALGORITHMS AND PERFORMANCE ..............868Hisashi Shimodaira, No affiliation, Japan

MP-PB.2: A FAST AND ROBUST DEBLURRING TECHNIQUE ON HIGH NOISE ...........................872ENVIRONMENTPulak Purkait, Bhabatosh Chanda, Indian Statistical Institute, India

MP-PB.3: BLIND DECONVOLUTION USING A NONDIMENSIONAL GAUSSIANITY ...................877MEASUREXu Zhou, Fugen Zhou, Xiangzhi Bai, Beihang University, China

MP-PB.4: SINGLE IMAGE DEHAZING BASED ON RELIABILITY MAP OF DARK .......................882CHANNEL PRIORTae Ho Kil, Sang Hwa Lee, Nam Ik Cho, Seoul National University, Republic of Korea

xxxvii

MP-PB.5: IMAGE ENHANCEMENT REVISITED: FROM FIRST ORDER TO SECOND .................886ORDER STATISTICSXiao Shu, Xiaolin Wu, McMaster University, Canada

MP-PB.6: HISTOGRAM SHRINKING FOR POWER-SAVING CONTRAST .......................................891ENHANCEMENTYan-Tsung Peng, Fan-Chieh Cheng, Li-Ming Jan, Shanq-Jang Ruan, National Taiwan University of Science and Technology, Taiwan

MP-PB.7: VIDEO DEBLURRING BASED ON BIDIRECTIONAL MOTION ........................................895COMPENSATION AND ACCURATE BLUR KERNEL ESTIMATIONDong-Bok Lee, Bo-Young Heo, Byung Cheol Song, Inha University, Republic of Korea

MP-PB.8: ROLLING SHUTTER CORRECTION FOR VIDEO WITH LARGE DEPTH .....................900OF FIELDYen-Hao Chiao, Tung-Ying Lee, Shang-Hong Lai, National Tsing Hua University, Taiwan

MP-PB.9: PROBABILISTIC DEPTH-GUIDED MULTI-VIEW IMAGE DENOISING ..........................905Chul Lee, Chang-Su Kim, Korea University, Republic of Korea; Sang-Uk Lee, Seoul National University, Republic of Korea

MP-PB.10: SINGLE COLOR IMAGE DEHAZING BASED ON DIGITAL TOTAL .............................909VARIATION FILTER WITH COLOR TRANSFERXuan Liu, Fanxiang Zeng, Zhitong Huang, Yuefeng Ji, Beijing University of Posts and Telecommunications, China

MP-PB.11: SINGLE-IMAGE DERAINING USING AN ADAPTIVE NONLOCAL MEANS ................914FILTERJin-Hwan Kim, Korea University, Republic of Korea; Chul Lee, Pennsylvania State University, United States; Jae-Young Sim, Ulsan National Institute of Science and Technology, Republic of Korea; Chang-Su Kim, Korea University, Republic of Korea

MP-PB.12: FOVEATION FILTER USING MULTIBAND ENERGY SCALING IN DCT .....................918DOMAINHuy Tran, Wonha Kim, KyungHee University, Republic of Korea

MP-PB.14: RESTORATION OF FOGGY AND MOTION-BLURRED ROAD SCENES ........................928Thangamani Veeramani, Rajagopalan Ambasamudram. N., Indian Institute of Technology Madras, India; Guna Seetharaman, US Air Force Research Laboratory, United States

MP-PC: IMAGE AND VIDEO CODING & COMMUNICATION I

MP-PC.1: SALIENCY DETECTION BASED ON AN EDGE-PRESERVING FILTER ........................1757Jinshan Pan, Zhixun Su, Maoran Bian, Dalian University of Technology, China; Risheng Liu, Dalian University of Technology, Nanjing University, China

MP-PC.2: OPTIMIZED TONE MAPPING WITH LDR IMAGE QUALITY CONSTRAINT ............1762FOR BACKWARD-COMPATIBLE HIGH DYNAMIC RANGE IMAGE AND VIDEO CODINGAlper Koz, Frédéric Dufaux, Télécom ParisTech, France

xxxviii

MP-PC.3: A ROBUST INTERPOLATION-FREE APPROACH FOR SUB-PIXEL ..............................1767ACCURACY MOTION ESTIMATIONWei Dai, Oscar C. Au, Wenjing Zhu, Wei Hu, Pengfei Wan, Jiali Li, The Hong Kong University of Science & Technology, Hong Kong SAR of China

MP-PC.4: OBJECT LEVEL IMAGE SALIENCY BY HIERARCHICAL SEGMENTATION ............1772Zhenzhen Zhang, Junjie Cao, Guangyu Zhong, Dalian University of Technology, China; Wangyi Liu, Lawrence Berkeley National Laboratory, United States; Zhixun Su, Dalian University of Technology, China

MP-PC.5: DESIGN OF OPTIMIZED PREFILTERS FOR TIME-DOMAIN LAPPED .......................1777TRANSFORMS WITH VARIOUS DOWNSAMPLING FACTORSMasaki Onuki, Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan

MP-PC.6: EXPLOITING SPATIAL SMOOTHNESS TO RECOVER UNDECODED .........................1782COEFFICIENTS FOR TRANSFORM DOMAIN DISTRIBUTED VIDEO CODINGMortuza Ali, Manzur Murshed, Monash University, Australia

MP-PC.7: RATE-DISTORTION OPTIMIZED MERGE FRAME USING PIECEWISE .....................1787CONSTANT FUNCTIONSWei Dai, The Hong Kong University of Science & Technology, Hong Kong SAR of China; Gene Cheung, National Institute of Informatics, Japan; Ngai-Man Cheung, Singapore University of Technology and Design, Singapore; Antonio Ortega, University of Southern California, United States; Oscar C. Au, The Hong Kong University of Science & Technology, Hong Kong SAR of China

MP-PC.8: INTER-FRAME PREDICTION USING MOTION HINTS .....................................................1792Aous Thabit Naman, Rui Xu, David Taubman, The University of New South Wales, Australia

MP-PC.9: APPROACHING OPTIMALITY IN SPATIALLY SCALABLE VIDEO CODING: ..........1797FROM RESAMPLING AND PREDICTION TO QUANTIZATION AND ENTROPY CODINGJingning Han, Kenneth Rose, University of California, Santa Barbara, United States

MP-PC.10: GRAPH-BASED ROTATION OF THE DCT BASIS FOR MOTION-ADAPTIVE ...........1802TRANSFORMSDu Liu, Markus Flierl, KTH Royal Institute of Technology, Sweden

MP-PC.11: PIXEL-BASED AVERAGING PREDICTOR FOR HEVC LOSSLESS CODING .............1806Eugen Wige, Gilbert Yammine, University of Erlangen-Nuremberg, Germany; Peter Amon, Andreas Hutter, Siemens Corporate Technology, Germany; André Kaup, University of Erlangen-Nuremberg, Germany

MP-PC.12: CLASS-BASED MDP FOR IMPROVED MULTIMEDIA TRANSMISSION ....................1811OVER LTENesrine Changuel, Madalina Ene, Bessem Sayadi, Alcatel Lucent, France; Michel Kieffer, L2S, CNRS - SUPELEC - Univ Paris-Sud, France

MP-PC.13: ESTIMATION OF END-TO-END DISTORTION OF VIRTUAL VIEW FOR .................1816ERROR-RESILIENT DEPTH MAP CODINGMin Gao, Xiaopeng Fan, Debin Zhao, Feng Jiang, Wen Gao, Harbin Institute of Technology, China

xxxix

MP-PC.14: DEPTH MAP CONCEALMENT USING INTER-VIEW WARPING VECTORS .............1821FROM GEOMETRIC TRANSFORMSSylvain Marcelino, Instituto de Telecomunicações / Universidade de Trás-os-Montes e Alto Douro, Portugal; Pedro Assuncao, Sergio Faria, Instituto de Telecomunicações / Instituto Politécnico Leiria, ESTG, Portugal; Salviano Soares, Universidade de Trás-os-Montes e Alto Douro/IEETA, Portugal

MP-PD: CLASSIFICATION II

MP-PD.1: STRUCTURED SPARSE PRIORS FOR IMAGE CLASSIFICATION .................................3211Umamahesh Srinivas, Pennsylvania State University, United States; Yuanming Suo, Minh Dao, The John Hopkins University, United States; Vishal Monga, Pennsylvania State University, United States; Trac Tran, The John Hopkins University, United States

MP-PD.2: TWO CLASSIFIERS BASED ON NEAREST FEATURE PLANE FOR ..............................3216RECOGNITIONQingxiang Feng, Jeng-Shyang Pan, Lijun Yan, Harbin Institute of Technology, Shenzhen Graduate School, China

MP-PD.3: LEARNING SPATIO-TEMPORAL CO-OCCURRENCE CORRELOGRAMS FOR ........3220EFFICIENT HUMAN ACTION CLASSIFICATIONQianru Sun, Hong Liu, Peking University, China

MP-PD.4: GROUP SPARSITY BASED SEMI-SUPERVISED BAND SELECTION FOR ...................3225HYPERSPECTRAL IMAGESHaichang Li, Ying Wang, Jiangyong Duan, Shiming Xiang, Chunhong Pan, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science, China

MP-PD.5: INTERPRETABLE AESTHETIC FEATURES FOR AFFECTIVE IMAGE .......................3230CLASSIFICATIONXiaohui Wang, Jia Jia, Tsinghua University, China; Jiaming Yin, University of Science and Technology Beijing, China; Lianhong Cai, Tsinghua University, China

MP-PD.6: RATE DISTORTION MULTIPLE INSTANCE LEARNING FOR IMAGE ........................3235CLASSIFICATIONYingying Wang, Chun Zhang, Zhihua Wang, Tsinghua University, China

MP-PD.7: LBP HISTOGRAM SELECTION FOR SUPERVISED COLOR TEXTURE ......................3239CLASSIFICATIONAlice Porebski, Nicolas Vandenbroucke, Denis Hamad, University of the Littoral Opal Coast, France

MP-PD.8: CROSS-VIEW ACTION RECOGNITION VIA LOW-RANK BASED DOMAIN ...............3244ADAPTATIONWen-Sheng Tseng, Lun-Kai Hsu, National Taiwan University, Taiwan; Li-Wei Kang, National Yunlin University of Science & Technology, Taiwan; Yu-Chiang Frank Wang, Academia Sinica, Taiwan

MP-PD.9: ACTIVE CLASSIFICATION FOR HUMAN ACTION RECOGNITION .............................3249Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, Aristotle University of Thessaloniki, Greece

xl

MP-PD.10: REPRESENTATIVE REFERENCE-SET AND BETWEENNESS CENTRALITY ...........3254FOR SCENE IMAGE CATEGORIZATIONQun Li, Beijing University of Posts and Telecommunications, China; Zhen Qin, University of California, Riverside, United States; Lunshao Chai, Honggang Zhang, Jun Guo, Beijing University of Posts and Telecommunications, China; Bir Bhanu, University of California, Riverside, United States

MP-PD.11: IMPROVING SCENE CLASSIFICATION WITH WEAKLY SPATIAL ..........................3259SYMMETRY INFORMATIONKezhen Teng, Jinqiao Wang, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science, China; Qi Tian, University of Texas at San Antonio, United States; Hanqing Lu, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science, China

MP-PD.12: PAINTING ANALYSIS USING WAVELETS AND PROBABILISTIC TOPIC ................3264MODELSTong Wu, Rutgers University, United States; Gungor Polatkan, Twitter Incorporated, United States; David Steel, William Brown, North Carolina Museum of Art, United States; Ingrid Daubechies, Robert Calderbank, Duke University, United States

MP-PD.13: INSECT CLASSIFICATION USING SCANNING ELECTRON .........................................3269MICROPHOTOGRAPHS CONSIDERING MAGNIFICATIONSAkihiro Takahashi, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan

MP-PD.14: STOCHASTIC BOOSTING FOR LARGE-SCALE IMAGE CLASSIFICATION .............3274Junbiao Pang, Qingming Huang, Baocai Yin, Beijing University of Technology, China; Lei Qin, ICT, China; Dan Wang, Beijing University of Technology, China

MP-PE: OBJECT SEGMENTATION AND RECOGNITION

MP-PE.1: GEODESIC SALIENCY PROPAGATION FOR IMAGE SALIENT REGION ...................3278DETECTIONKeren Fu, Chen Gong, Shanghai Jiao Tong University, China; Irene Yu-Hua Gu, Chalmers University of Technology, Sweden; Jie Yang, Shanghai Jiao Tong University, China

MP-PE.2: INFRARED TARGET TRACKING, RECOGNITION AND SEGMENTATION ...............3283USING SHAPE-AWARE LEVEL SETJiulu Gong, Beijing Institute of Technology, China; Guoliang Fan, Oklahoma State University, United States; Joseph P Havlicek, University of Oklahoma, United States; Ningjun Fan, Derong Chen, Beijing Institute of Technology, China

MP-PE.3: SAMPLING FOR UNSUPERVISED DOMAIN ADAPTIVE OBJECT ................................3288DETECTIONFatemeh Mirrashed, Vlad I. Morariu, Larry S. Davis, University of Maryland, United States

MP-PE.4: ADAPTIVE WINDOW SEARCH USING SEMANTIC TEXTON FORESTS FOR ............3293REAL-TIME OBJECT DETECTIONYuki Ono, Abdul Raziz Junaidi, Tadahiro Kuroda, Keio University, Japan

MP-PE.5: A COMPARISON OF LATE FUSION METHODS FOR OBJECT DETECTION ..............3297Uwe Knauer, Humboldt-Universitaet zu Berlin, Germany; Udo Seiffert, Fraunhofer IFF, Germany

xli

MP-PE.7: COMPRESSIVE DISTANCE CLASSIFIER CORRELATION FILTER ..............................3307Karthik Mahesh Varadarajan, Technical University of Vienna, Austria; Markus Vincze, Technische Universität Wien, Austria

MP-PE.8: LEARNING BOTTOM-UP TEXT ATTENTION MAPS FOR TEXT ...................................3312DETECTION USING STROKE WIDTH TRANSFORMKarthikeyan Shanmuga Vadivel, Vignesh Jagadeesh, B.S. Manjunath, University of California, Santa Barbara, United States

MP-PE.9: SALIENT OBJECT DETECTION ON A HIERARCHY OF IMAGE PARTITIONS ..........3317Veronica Vilaplana, Guillermo Muntaner, Technical University of Catalonia, Spain

MP-PE.10: EFFICIENT VEHICLE DETECTION WITH ADAPTIVE SCAN BASED ON .................3321PERSPECTIVE GEOMETRYYu-Chun Chen, Te-Feng Su, Shang-Hong Lai, National Tsing Hua University, Taiwan

MP-PE.11: COMBINING CONTOUR AND SHAPE PRIMITIVES FOR OBJECT .............................3326DETECTION AND POSE ESTIMATION OF PREFABRICATED PARTSAlexander Berner, Jun Li, Dirk Holz, Joerg Stueckler, Sven Behnke, Reinhard Klein, University of Bonn, Germany

MP-PE.12: ESTIMATING TRAFFIC CONDITION USING JUST A SINGLE IMAGE .......................3331Yao Bin Then, Yong Haur Tay, Universiti Tunku Abdul Rahman Kuala Lumpur, Malaysia; Wing Teng Ho, Recogine Technology, Malaysia

MP-PE.13: COST-SENSITIVE BACKGROUND SUBTRACTION .........................................................3336Xiang Zhang, Jian Cheng, University of Electronic Science and Technology of China, China; Zhi Liu, Shanghai University, China; Jie Yang, Shanghai Jiao Tong University, China

MP-PE.14: ROBUST REAL-TIME ATTENTION-BASED HEAD-SHOULDER DETECTION .........3340FOR VIDEO SURVEILLANCEJinhui Tu, Chao Zhang, Peking University, China; Pengwei Hao, Queen Mary, University of London, United Kingdom

MP-PF: OBJECT RECOGNITION AND CLASSIFICATION I

MP-PF.1: PERSON RE-IDENTIFICATION USING HEIGHT-BASED GAIT IN COLOUR ..............3345DEPTH CAMERAVijay John, Gwenn Englebienne, Ben Krose, University of Amsterdam, Netherlands

MP-PF.2: FACE RECOGNITION USING HOG FEATURE AND GROUP SPARSE ..........................3350CODINGYuhua Li, Chun Qi, Xi’an Jiaotong University, China

MP-PF.3: IMAGE REPRESENTATION FOR OBJECT RECOGNITION: UTILIZING ....................3354OVERLAPPING WINDOWS IN SPATIAL PYRAMID MATCHINGKristo Kristo, Chin Seng Chua, Nanyang Technological University, Singapore

MP-PF.4: FLOOR DETECTION BASED DEPTH ESTIMATION FROM A SINGLE ........................3358INDOOR SCENEChanghwan Chun, Dongjin Park, Korea Advanced Institute of Science and Technology, Republic of Korea; Wonjun Kim, Samsung Advanced Institute of Technology, Republic of Korea; Changick Kim, Korea Advanced Institute of Science and Technology, Republic of Korea

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MP-PF.5: A PERSON RE-IDENTIFICATION ALGORITHM BY USING REGION-BASED ............3363FEATURE SELECTION AND FEATURE FUSIONYanbing Geng, Hai-Miao Hu, Jin Zheng, Bo Li, Beihang University, China

MP-PF.6: A GENERAL PROBABILITY FRAMEWORK FOR IMPROVING SIMILARITY ...........3367BASED APPROACHES FOR FACE VERIFICATIONLiang Chen, University of Northern British Columbia, Wenzhou University, Canada; David Casperson, University of Northern British Columbia, Canada; Yonghuai Liu, Aberystwyth University, United Kingdom; Lixin Gao, Wenzhou University, China

MP-PF.7: FAST CORTICAL KEYPOINTS FOR REAL-TIME OBJECT RECOGNITION................3372Kasim Terzic, J.M.F. Rodrigues, J.M.H. du Buf, University of the Algarve, Portugal

MP-PF.8: EFFECTIVE CONSTRUCTING TRAINING SETS FOR OBJECT ......................................3377DETECTIONWeining Wu, Yang Liu, Harbin Institute of Technology, China; Wei Zeng, NEC Laboratories, China, China; Maozu Guo, Chunyu Wang, Xiaoyan Liu, Harbin Institute of Technology, China

MP-PF.9: A SPARSE SAMPLING MODEL FOR 3D FACE RECOGNITION ......................................3381Jun Yuan, Ashraf A. Kassim, National University of Singapore, Singapore

MP-PF.10: STEREO BASED REGION OF INTEREST GENERATION FOR PEDESTRIAN ...........3386DETECTION IN DRIVER ASSISTANCE SYSTEMSMaral Mesmakhosroshahi, Joohee Kim, Illinois Institute of Technology, United States; Yunsik Lee, Korea Electronics Technology Institute, Republic of Korea; Jong-Bok Kim, Sane Systems, Republic of Korea

MP-PF.11: OBJECT RECOGNITION BASED ON ADAPATIVE BAG OF FEATURE AND ............3390DISCRIMINATIVE LEARNINGBaiying Lei, Tianfu Wang, Siping Chen, Dong Ni, Haijun Lei, Shenzhen University, Singapore

MP-PF.12: MATCHING NON-ALIGNED OBJECTS USING A RELATIONAL .................................3394STRING-GRAPHNicholas Dahm, National ICT Australia, Australia; Yongsheng Gao, Griffith University, Australia; Terry Caelli, National ICT Australia, Australia; Horst Bunke, University of Bern, Switzerland

MP-PF.13: REGION-BASED SEGMENTATION ON DEPTH IMAGES FROM A 3D ........................3399REFERENCE SURFACE FOR TREE SPECIES RECOGNITIONAhlem Othmani, Le2i - ONF, France; Nicolas Lomenie, LIPADE, France; Alexandre Piboule, ONF, France; Christophe Stolz, Lew F. C. Lew Yan Voon, Le2i, France

MP-PF.14: IMPROVING AUGMENTED REALITY APPLICATIONS WITH OPTICAL .................3403FLOWKyriakos Herakleous, Charalambos Poullis, Immersive and Creative Technologies Lab, Cyprus

MP-PG: SCENE ANALYSIS II

MP-PG.1: AN INTERACTIVE EDUCATIONAL DRAWING SYSTEM USING A ..............................3407HUMANOID ROBOT AND LIGHT POLARIZATIONAhmed El-Barkouky, Ali Mahmoud, James Graham, Aly Farag, University of Louisville, United States

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MP-PG.2: UNDERWATER IMAGE ENHANCEMENT USING GUIDED ............................................3412TRIGONOMETRIC BILATERAL FILTER AND FAST AUTOMATIC COLOR CORRECTIONHuimin Lu, Yujie Li, Seiichi Serikawa, Kyushu Institute of Technology, Japan

MP-PG.3: AMBER: ADAPTING MULTI-RESOLUTION BACKGROUND EXTRACTOR ...............3417Bin Wang, Piotr Dudek, The University of Manchester, United Kingdom

MP-PG.5: A NOVEL METHOD FOR SALIENT OBJECT DETECTION VIA ....................................3426COMPACTNESS MEASUREMENTJiwhan Kim, Hansang Lee, Junmo Kim, Korea Advanced Institute of Science and Technology, Republic of Korea

MP-PG.6: COMBINATION OF THERMAL AND COLOR IMAGES FOR ACCURATE ..................3431FOREGROUND / BACKGROUND SEGMENTATION IN OUTDOOR ENVIRONMENTLouis St-Laurent, Donald Prévost, INO, Canada; Xavier Maldague, Université Laval, Canada

MP-PG.7: IMPROVING MIXTURE OF GAUSSIANS BACKGROUND MODEL ...............................3436THROUGH ADAPTIVE LEARNING AND SPATIO-TEMPORAL VOTINGMunir Shah, Jeremiah D. Deng, Brendon J. Woodford, University of Otago, New Zealand

MP-PG.8: EXTRACT FOREGROUND OBJECTS BASED ON SPARSE MODEL OF .......................3441SPATIOTEMPORAL SPECTRUMZhangjian Ji, University of Chinese Academy of Sciences, China; Weiqiang Wang, University of Chinese Academy of Sciences; The Institute of Computing Technology of the Chinese Academy of Sciences, China; Ke Lu, University of Chinese Academy of Sciences, China

MP-PG.9: IMPROVING ALPHA MATTING AND MOTION BLURRED FOREGROUND ..............3446ESTIMATIONRolf Köhler, Max Planck Institute for Intelligent Systems, Germany; Michael Hirsch, University College London, United Kingdom; Bernhard Schölkopf, Stefan Harmeling, Max Planck Institute for Intelligent Systems, Germany

MP-PG.10: SPATIO-TEMPORAL SALIENCY BASED ON RARE MODEL ........................................3451Marc Decombas, Thales / TelecomParisTech, France; Nicolas Riche, Université de Mons, Belgium; Frédéric Dufaux, Beatrice Pesquet-Popescu, Télécom ParisTech, France; Matei Mancas, Bernard Gosselin, Thierry Dutoit, Université de Mons, France

MP-PG.11: LABEL LOCALIZATION BY APPEARANCE GUIDED GRAPH INFERRING..............3456Lei Yu, Jing Liu, Changsheng Xu, Chinese Academy of Sciences, China

MP-PG.12: KITCHEN ACTIVITY RECOGNITION BASED ON SCENE CONTEXT ........................3461Shubham Bansal, Shubham Khandelwal, Shubham Gupta, Dushyant Goyal, The LNM Institute of Information Technology, India

MP-PG.13: RIEMANNIAN MANIFOLD-BASED SUPPORT VECTOR MACHINE FOR .................3466HUMAN ACTIVITY CLASSIFICATION IN IMAGESYixiao Yun, Irene Yu-Hua Gu, Chalmers University of Technology, Sweden; Hamid Aghajan, Stanford University, United States

MP-PG.14: MOBILE 3D VISUAL SEARCH USING THE HELMERT TRANSFORMATION ..........3470OF STEREO FEATURESHaopeng Li, Markus Flierl, KTH Royal Institute of Technology, Sweden

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MP-PH: WATERMARKING, FORENSICS, AND HASHING

MP-PH.1: ANALYSIS OF SMARTPHONE MODEL IDENTIFICATION USING DIGITAL ............4487IMAGESAkua Biney, Harin Sellahewa, University of Buckingham, United Kingdom

MP-PH.2: EXPOSING FAKE BITRATE VIDEO AND ITS ORIGINAL BITRATE .............................4492Shan Bian, Weiqi Luo, Jiwu Huang, Sun Yat-sen University, China

MP-PH.3: SOURCE IDENTIFICATION OF CAMERA PHONES USING SVD....................................4497Ahmad Ryad Soobhany, K. P. Lam, Peter Fletcher, David Collins, Keele University, United Kingdom

MP-PH.4: FIRST JPEG QUANTIZATION MATRIX ESTIMATION BASED ON ..............................4502HISTOGRAM ANALYSISGiovanni Puglisi, Arcangelo Bruna, University of Catania, Italy; Fausto Galvan, University of Udine, Italy; Sebastiano Battiato, University of Catania, Italy

MP-PH.5: HARNESSING MOTION BLUR TO UNCOVER SPLICING ................................................4507Purnachandra rao M, Rajagopalan A N, Indian Institute of Technology Madras, India

MP-PH.6: MULTI-LEVEL TAMPER DETECTION AND RECOVERY WITH TAMPER ................4512TYPE IDENTIFICATIONChao-Ming Wu, National Formosa University, Taiwan

MP-PH.7: FORENSIC ANALYSIS OF FULL-FRAME LINEARLY FILTERED JPEG .....................4517IMAGESValentina Conotter, Pedro Comesaña-Alfaro, Fernando Pérez-González, University of Vigo, Spain

MP-PH.8: LOGARITHMIC SPREAD-TRANSFORM DITHER MODULATION ................................4522WATERMARKING BASED ON PERCEPTUAL MODELWenbo Wan, Ju Liu, Jiande Sun, Xiaohui Yang, Shandong University, China; Xiushan Nie, Shandong University of Finance and Economics, China; Feng Wang, Institute of Quality Supervision and Test for Electronic and Information Products in shandong, China

MP-PH.9: NON LINEAR HYBRID WATERMARKING FOR HIGH DYNAMIC RANGE ................4527IMAGESFlorent Autrusseau, Dalila Goudia, IRCCyN, France

MP-PH.10: IMPACT OF CONTENT MASTERING ON THE THROUGHPUT OF A BIT ................4532STREAM VIDEO WATERMARKING SYSTEMAntoine Robert, Gwenaël Doërr, Technicolor R&D France, France

MP-PH.11: HIGH CAPACITY MULTI-SCALE IMAGE SHARING SCHEME BY ............................4536COMBINING VISUAL CRYPTOGRAPHY WITH DATA HIDINGYi-Chong Zeng, Chi-Hung Tsai, Institute for Information Industry, Taiwan

MP-PH.12: EFFICIENT ADAPTIVE PREDICTION BASED REVERSIBLE IMAGE ........................4540WATERMARKINGSunil Prasad Jaiswal, Oscar C. Au, Vinit Jakhetiya, Yuanfang Guo, The Hong Kong University of Science & Technology, Hong Kong SAR of China; Anil Kumar Tiwari, Indian Institute of Technology Rajasthan, India; Kong Yue, The Hong Kong University of Science & Technology, Hong Kong SAR of China

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TA-L1: DECONVOLUTION AND DEBLURRING

TA-L1.1: DUAL DEBLURRING LEVERAGED BY IMAGE MATCHING .............................................567Fang Wang, Nanjing University of Science and Technology, NICTA, Australia; Tianxing Li, Dartmouth College, United States; Yi Li, NICTA, Australia

TA-L1.2: CORRECTING CAMERA SHAKE BY INCREMENTAL SPARSE ........................................572APPROXIMATIONPaul Shearer, Anna Gilbert, Alfred Hero, University of Michigan, Ann Arbor, United States

TA-L1.3: PATCH-BASED BLIND DECONVOLUTION WITH PARAMETRIC ...................................577INTERPOLATION OF CONVOLUTION KERNELSFilip Sroubek, Michal Sorel, Irena Horackova, Jan Flusser, Academy of Sciences of the Czech Republic, Czech Republic

TA-L1.4: FRAME-BASED IMAGE DEBLURRING WITH UNKNOWN BOUNDARY ........................582CONDITIONS USING THE ALTERNATING DIRECTION METHOD OF MULTIPLIERSMariana S.C. Almeida, Mário A. T. A. T. Figueiredo, Instituto de Telecomunicações, Portugal

TA-L1.5: BLIND IMAGE DEBLURRING WITH UNKNOWN BOUNDARIES USING .......................586THE ALTERNATING DIRECTION METHOD OF MULTIPLIERSMariana S.C. Almeida, Mário A. T. A. T. Figueiredo, Instituto de Telecomunicações, Portugal

TA-L1.6: AN EM-BASED HYBRID FOURIER-WAVELET IMAGE DECONVOLUTION .................591ALGORITHMMuhammad Hanif, NICTA and The ANU College of Engineering and Computer Science, Canberra, Australia; Abd-Krim Seghouane, The University of Melbourne, Australia

TA-L2: BIOMEDICAL IMAGE ANALYSIS I

TA-L2.1: AUTOMATIC 3D RECONSTRUCTION OF MITOCHONDRION WITH LOCAL ..............596INTENSITY DISTRIBUTION SIGNATURE AND SHAPE FEATUREHui Li, Yan Qiu Chen, Fudan University, China

TA-L2.2: A SUPERVISED MULTIVIEW SPECTRAL EMBEDDING METHOD FOR ........................601NEUROIMAGING CLASSIFICATIONSidong Liu, Lelin Zhang, Weidong Cai, Yang Song, Zhiyong Wang, University of Sydney, Australia; Lingfeng Wen, Royal Prince Alfred Hospital, Australia; David Dagan Feng, University of Sydney, Australia

TA-L2.3: 3D LEFT VENTRICULAR SEGMENTATION IN ECHOCARDIOGRAPHY .......................606USING A PROBABILISTIC DATA ASSOCIATION DEFORMABLE MODELCarlos Santiago, Jacinto Nascimento, Jorge Marques, Instituto Superior Técnico, Portugal

TA-L2.4: 2-SIMDOM: A 2-SIEVE MODEL FOR DETECTION OF MITOSIS IN .................................611MULTISPECTRAL BREAST CANCER IMAGERYArdhendu Tripathi, Atin Mathur, Mohit Daga, The LNM Institute of Information Technology, India; Manohar Kuse, Oscar C. Au, The Hong Kong University of Science & Technology, Hong Kong SAR of China

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TA-L2.5: AUTOMATIC DETECTION OF RETINAL VASCULAR LANDMARK FEATURES .........616FOR COLOUR FUNDUS IMAGE MATCHING AND PATIENT LONGITUDINAL STUDYUyen Nguyen, The University of Melbourne, Australia; Alauddin Bhuiyan, Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia; Laurence Park, The University of Western Sydney, Australia; Ryo Kawasaki, Royal Victorian Eye and Ear Hospital, Australia; Tien Wong, National University of Singapore, Singapore; Kotagiri Ramamohanarao, The University of Melbourne, Australia

TA-L2.6: SMOOTHING POSTERIOR PROBABILITIES WITH A PARTICLE FILTER OF .............621DIRICHLET DISTRIBUTION FOR STABILIZING COLORECTAL NBI ENDOSCOPY RECOGNITIONTsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Yoko Kominami, Rie Miyaki, Taiji Matsuo, Shigeto Yoshida, Shinji Tanaka, Hiroshima University, Japan

TA-L2.7: MULTI-SCALE ANALYSIS OF SKIN HYPER-PIGMENTATION EVOLUTION ................626Sylvain Prigent, Xavier Descombes, INRIA, France; Didier Zugaj, Laurent Petit, Galderma R&D, France; Josiane Zerubia, INRIA, France

TA-L3: ERROR RESILIENT VIDEO TRANSMISSION

TA-L3.1: OPTIMIZING PEER GROUPING FOR LIVE FREE VIEWPOINT VIDEO .......................1593STREAMINGYuan Yuan, Bo Hu, University of Alberta, Canada; Gene Cheung, National Institute of Informatics, Japan; Vicky Zhao, University of Alberta, Canada

TA-L3.2: ENHANCEMENT OF PRO-MPEG COP3 CODES AND APPLICATION TO .....................1598LAYER-AWARE FEC PROTECTION OF TWO-LAYERED VIDEO TRANSMISSIONCésar Díaz, Universidad Politécnica de Madrid, Spain; Cornelius Hellge, Fraunhofer Heinrich Hertz Institute, Germany; Julián Cabrera, Fernando Jaureguizar, Universidad Politécnica de Madrid, Spain; Thomas Schierl, Fraunhofer Heinrich Hertz Institute, Germany

TA-L3.3: SALIENCY-COGNIZANT ROBUST VIEW SYNTHESIS IN FREE VIEWPOINT ............1603VIDEO STREAMINGBruno Macchiavello, Camilo Dorea, Edson Mintsu Hung, Universidade de Brasilia, Brazil; Gene Cheung, National Institute of Informatics, Japan; Wai-Tian Tan, Hewlett Packard Labs, United States

TA-L3.4: RATE-EFFICIENT ERROR ROBUSTNESS FOR IDR FRAMES THROUGH ...................1608EDGE-BASED REDUNDANCY MAPSAojie Jiang, Dimitris Agrafiotis, University of Bristol, United Kingdom

TA-L3.5: SPATIO-TEMPORAL ERROR CONCEALMENT IN VIDEO BY DENOISED ..................1613TEMPORAL EXTRAPOLATION REFINEMENTJürgen Seiler, University of Erlangen-Nuremberg, Germany; Michael Schöberl, Fraunhofer IIS, Germany; André Kaup, University of Erlangen-Nuremberg, Germany

TA-L3.6: A HYBRID SENDER/RECEIVER-DRIVEN ERROR PROTECTION SCHEME ................1617FOR RELIABLE P2P SCALABLE VIDEO STREAMINGChi-Wen Lo, Industrial Technology Research Institute, Taiwan; Chia-Wen Lin, Yung-Chang Chen, National Tsing Hua University, Taiwan

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TA-L3.7: REDUCED-REFERENCE QUALITY ASSESSMENT WITH SCALABLE ..........................1622OVERHEAD FOR VIDEO WITH PACKET LOSSLinda McLaughlin, Sheila Hemami, Cornell University, United States

TA-L4: INVERSE PROBLEMS IN BIOMEDICAL IMAGING

TA-L4.2: AN ENHANCED APPROACH FOR SIMULTANEOUS IMAGE ..........................................2314RECONSTRUCTION AND SENSITIVITY MAP ESTIMATION IN PARTIALLY PARALLEL IMAGINGMeng Liu, Yunmei Chen, Yuyuan Ouyang, University of Florida, United States; Xiaojing Ye, Georgia Institute of Technology, United States; Feng Huang, Philips Research Asia Shanghai, China

TA-L4.3: COMPRESSED SENSING MRI WITH BAYESIAN DICTIONARY LEARNING ...............2319Xinghao Ding, Xiamen University, China; John Paisley, University of California, Berkeley, United States; Yue Huang, Xianbo Chen, Xiamen University, China; Feng Huang, Philips Research China, China; Xiao-Ping Zhang, Ryerson University, Canada

TA-L4.4: 4D RECONSTRUCTION FOR DUAL CARDIAC-RESPIRATORY GATED SPECT .........2324Wenyuan Qi, Yongyi Yang, Miles N. Wernick, Illinois Institute of Technology, United States; Michael A. King, University of Massachusetts Medical School, United States

TA-L4.5: FAST TRANSFORM-BASED ADAPTIVE BEAMFORMER FOR MEDICAL ....................2329ULTRASOUND IMAGINGKyuhong Kim, Suhyun Park, Sung-Chan Park, Jooyoung Kang, Yun-Tae Kim, Jung-Ho Kim, Samsung Electronics, Republic of Korea

TA-L4.6: A DISTANCE DRIVEN METHOD FOR METAL ARTEFACT REDUCTION IN ..............2334COMPUTED TOMOGRAPHYAndre Mouton, Najla Megherbi, Cranfield University, United Kingdom; Katrien Van Slambrouck, Johan Nuyts, Katholieke Universiteit Leuven, Belgium; Toby P. Breckon, Cranfield University, United Kingdom

TA-L4.7: A NEW PROCESSING SEQUENCE TO ASSESS AIRWAYS USING 3D CT-SCAN ..........2339Hugo Balacey, University of Bordeaux, LaBRI, France; Gael Dournes, Departement of Thoracic and Cardiovascular Imaging, CHU of Bordeaux, France; Pascal Desbarats, University of Bordeaux, LaBRI, France; Michel Montaudon, Departement of Thoracic and Cardiovascular Imaging, CHU of Bordeaux, France; Jean-Philippe Domenger, University of Bordeaux, LaBRI, France; François Laurent, Departement of Thoracic and Cardiovascular Imaging, CHU of Bordeaux, France

TA-L5: CLASSIFICATION III

TA-L5.1: CLASSIFICATION OF REMOTE SENSING DATA USING MARGIN-BASED .................2602ENSEMBLE METHODSSamia Boukir, Li Guo, University of Bordeaux, France; Nesrine Chehata, IRD, Tunisia

TA-L5.2: FEATURE NORMALIZATION FOR PART-BASED IMAGE CLASSIFICATION.............2607Lingxi Xie, Tsinghua University, China; Tian Qi, University of Texas at San Antonio, United States; Bo Zhang, Tsinghua University, China

TA-L5.3: BIOLOGICALLY PLAUSIBLE CONTEXT RECOGNITION ALGORITHMS ...................2612Makiese Mibulumukini, Nicolas Riche, Matei Mancas, Bernard Gosselin, Thierry Dutoit, University of Mons (UMONS), Belgium

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TA-L5.4: MULTIPLE INSTANCE LEARNING VIA DISTANCE METRIC OPTIMIZATION ..........2617Haifeng Zhao, Science and Technology on Information System Engineering Laboratory, China; Jun Cheng, Jun Jiang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China; Dacheng Tao, University of Technology, Sydney, Australia

TA-L5.5: LUMINANCE ADAPTED SKIN COLOR MODELING FOR THE ROBUST ......................2622DETECTION OF SKIN AREASInsung Hwang, Sang Hwa Lee, Seoul National University, Republic of Korea; Byungseok Min, Samsung Electronics, Republic of Korea; Nam Ik Cho, Seoul National University, Republic of Korea

TA-L5.6: AUTOMATIC SIGN LANGUAGE IDENTIFICATION ...........................................................2626Binyam Gebrekidan Gebre, Peter Wittenburg, Max Planck Institute for Psycholinguistics, Netherlands; Tom Heskes, Radboud University, Netherlands

TA-L5.7: MESH LEARNING FOR OBJECT CLASSIFICATION USING FMRI ................................2631MEASUREMENTSOmer Ekmekci, Orhan Firat, Mete Ozay, Middle East Technical University, Turkey; Ilke Oztekin, Koc University, Turkey; Fatos Tunay Yarman Vural, Middle East Technical University, Turkey; Uygar Oztekin, Google Inc., United States

TA-L6: OBJECT TRACKING AND RECOGNITION

TA-L6.1: HIERARCHICAL DATA ASSOCIATION AND DEPTH-INVARIANT APPEARANCE ...2635MODEL FOR INDOOR MULTIPLE OBJECTS TRACKINGHong Liu, Can Wang, Peking University, China

TA-L6.2: HAZARDOUS MATERIAL SIGN DETECTION AND RECOGNITION ..............................2640Albert Parra Pozo, Bin Zhao, Andrew Haddad, Mireille Boutin, Edward Delp, Purdue University, United States

TA-L6.3: A SPINDLE MODEL FOR CONTEXTUAL OBJECT DETECTION .....................................2645Yukun Zhu, Jun Zhu, Rui Zhang, Shanghai Jiao Tong University, China

TA-L6.4: ROBUST RECOGNITION OF CHESS-BOARDS UNDER DEFORMATION ......................2650Stuart Bennett, Joan Lasenby, University of Cambridge, United Kingdom

TA-L6.5: SIMULTANEOUS TARGET RECOGNITION, SEGMENTATION AND POSE .................2655ESTIMATIONLiangjiang Yu, Guoliang Fan, Oklahoma State University, United States; Jiulu Gong, Beijing Institute of Technology, China; Joseph P Havlicek, University of Oklahoma, United States

TA-L6.6: VIDEO TRACKING THROUGH OCCLUSIONS BY FAST AUDIO SOURCE ..................2660LOCALISATIONEleonora D’Arca, Heriot-Watt University, United Kingdom; Ashley Hughes, University of Edinburgh, United Kingdom; Neil M. Robertson, Heriot-Watt University, United Kingdom; James Hopgood, University of Edinburgh, United Kingdom

TA-L6.7: ON CONTRAST COMBINATIONS FOR VISUAL SALIENCY DETECTION ....................2665Quan Zhou, Ji Chen, Shiwei Ren, Yu Zhou, Jun Chen, Wenyu Liu, HuaZhong University of Science and Technology, China

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TA-L7: MULTIMEDIA CLASSIFICATION AND RETRIEVAL I

TA-L7.1: DATA DRIVEN MULTI-INDEX HASHING ..............................................................................2670Ji Wan, Sheng Tang, Yongdong Zhang, Lei Huang, Jintao Li, Institute of Computing Technology, Chinese Academy of Sciences, China

TA-L7.2: LABEL PROPAGATION HASHING BASED ON P-STABLE DISTRIBUTION AND .......2674COORDINATE DESCENTHaichuan Yang, Xiao Bai, Chuntian Liu, Beihang University, China; Jun Zhou, Griffith University, Australia

TA-L7.3: DISCOVERING COMPACT TOPICAL DESCRIPTORS FOR WEB VIDEO .....................2679RETRIEVALFang Zhao, Yongzhen Huang, Liang Wang, Tieniu Tan, Institute of Automation, Chinese Academy of Sciences, China

TA-L7.4: VIDEO ABSTRACTION IN SOCIAL MEDIA: AUGMENTING FACEBOOK’S ...............2684EDGERANK ALGORITHM IN VIDEO CONTENT PRESENTATIONKlimis Ntalianis, Technological Educational Institute of Athens, Greece; Anastasios Doulamis, Nikolaos Doulamis, Technical University of Crete, Greece; Nicolas Tsapatsoulis, Cyprus University of Technology, Cyprus

TA-L7.5: FEATURE DESIGN FOR AESTHETIC INFERENCE ON PHOTOS WITH .......................2689FACESShao-Fu Xue, Purdue University, United States; Henry Tang, Daniel Tretter, Qian Lin, Hewlett-Packard Company, United States; Jan P. Allebach, Purdue University, United States

TA-L7.6: 3D SHAPE SIMILARITY USING VECTORS OF LOCALLY AGGREGATED ..................2694TENSORSHedi Tabia, David Picard, ETIS/ ENSEA - University of Cergy-Pontoise - CNRS - UMR 8051, France; Hamid Laga, Phenomics and Bioinformatics Research Centre, University of South Australia, Australia; Philippe-Henri Gosselin, INRIA Rennes Bretagne Atlantique; ETIS/ENSEA, University of Cergy-Pontoise, CNRS, UMR 8051, France

TA-L7.7: AN EFFICIENT VIDEO RETRIEVAL SCHEME BASED ON FACIAL ..............................2699SIGNATURESPengyi Hao, Sei-ichiro Kamata, Waseda University, Japan

TA-S: VIDEO COMPRESSION AND ITS IEEE STANDARDISATION

TA-S.1: OVERVIEW OF IEEE 1857 VIDEO CODING STANDARD......................................................1500Siwei Ma, Shiqi Wang, Wen Gao, Peking University, China

TA-S.2: OVERVIEW OF THE IEEE 1857 SURVEILLANCE GROUPS ................................................1505Xianguo Zhang, Tiejun Huang, Peking University, China; YongHong Tian, Wen Gao, Institute of Digital Media, Peking University, China

TA-S.3: OVERVIEW AND PERFORMANCE ANALYSIS OF AVS MOBILITY FEATURES ...........1510Xiaozhen Zheng, Jianhua Zheng, Hisilicon, China; Yaocheng Rong, Quanhe Yu, Da An, Xin Tong, Yun He, Tsinghua University, China

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TA-S.4: FRAMEWORK OF AVS2-VIDEO CODING ................................................................................1515Zhichu He, Lu Yu, Zhejiang University, China; Xiaozhen Zheng, Hisilicon Technologies, China; Siwei Ma, Peking University, China; Yun He, Tsinghua University, China

TA-S.5: OPTIMAL DEPENDENT BIT ALLOCATION FOR AVS INTRA-FRAME CODING .........1520VIA SUCCESSIVE CONVEX APPROXIMATIONChao Pang, Oscar C. Au, Feng Zou, Xingyu Zhang, Wei Hu, Pengfei Wan, The Hong Kong University of Science & Technology, Hong Kong SAR of China

TA-S.6: HIGH DEFINITION IEEE AVS DECODER ON ARM NEON PLATFORM ..........................1524Ronggang Wang, Jie Wan, Wenmin Wang, Zhenyu Wang, Shengfu Dong, Wen Gao, Peking University Shenzhen Graduate School, China

TA-S.7: REFINING QP TO IMPROVE CODING EFFICIENCY IN AVS ..............................................1528Bin Li, University of Science and Technology of China, China; Jizheng Xu, Microsoft Research Asia, China; Houqiang Li, University of Science and Technology of China, China

TA-PA: MODELLING AND RECONSTRUCTION

TA-PA.1: AMSAC: AN ADAPTIVE ROBUST ESTIMATOR FOR MODEL FITTING .........................305Hanzi Wang, Jinlong Cai, Jianyu Tang, Xiamen University, China

TA-PA.2: TWO DIMENSIONAL ANALYSIS SPARSE MODEL ..............................................................310Na Qi, Yunhui Shi, Beijing University of Technology, China; Xiaoyan Sun, Jingdong Wang, Microsoft Research Asia, China; Wenpeng Ding, Beijing University of Technology, China

TA-PA.3: COLOR DE-RENDERING USING COUPLED DICTIONARY LEARNING .........................315Muhammad Rushdi, Mohsen Ali, Jeffrey Ho, University of Florida, United States

TA-PA.4: SAR IMAGE CLASSIFICATION WITH NORMALIZED GAMMA PROCESS ..................320MIXTURESKoray Kayabol, Bilge Gunsel, Istanbul Technical University, Turkey

TA-PA.5: PHASE RETRIEVAL FOR A CLASS OF 2-D SIGNALS CHARACTERIZED BY ..............325FIRST-ORDER DIFFERENCE EQUATIONSBasty Ajay Shenoy, Subhadip Mukherjee, Chandra Sekhar Seelamantula, Indian Institute of Science, India

TA-PA.6: FUSION OF DEPTH AND COLOR FOR AN IMPROVED ACTIVE SHAPE .......................330MODELColin Bellmore, Raymond Ptucha, Andreas Savakis, Rochester Institute of Technology, United States

TA-PA.7: LOW RANK AND SPARSE MATRIX RECONSTRUCTION WITH PARTIAL ..................335SUPPORT KNOWLEDGE FOR SURVEILLANCE VIDEO PROCESSINGDornoosh Zonoobi, Ashraf A. Kassim, National University of Singapore, Singapore

TA-PA.8: ROBUST TWO-DIMENSIONAL PRINCIPAL COMPONENT ANALYSIS VIA .................340ALTERNATING OPTIMIZATIONYipeng Sun, Xiaoming Tao, Yang Li, Jianhua Lu, Tsinghua University, China

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TA-PA.9: DYNAMIC AND CLINICAL PET DATA RECONSTRUCTION: A .......................................345NONPARAMETRIC BAYESIAN APPROACHMame Diarra Fall, Laboratoire de Mathématiques Appliquées à Paris 5, France; Eric Barat, Laboratoire de Modélisation, Simulation et Systèmes, France; Claude Comtat, Service Hospitalier Frédéric Joliot, France; Thomas Dautremer, Thierry Montagu, Laboratoire de Modélisation, Simulation et Systèmes, France; Simon Stute, Service Hospitalier Frédéric Joliot, France

TA-PA.10: SPARSE RECOVERY OF COMPLEX PHASE-ENCODED VELOCITY IMAGES ...........350USING ITERATIVE THRESHOLDINGTim Roberts, Nick Kingsbury, Daniel J Holland, University of Cambridge, United Kingdom

TA-PA.11: A RELAXED FACTORIAL MARKOV RANDOM FIELD FOR COLOUR AND ...............355DEPTH ESTIMATION FROM A SINGLE FOGGY IMAGELawrence Mutimbu, Australian National University, Australia; Antonio Robles-Kelly, National ICT Australia, Australia

TA-PA.12: SURFACE RECONSTRUCTION USING ISOCONTOURS OF CONSTANT .....................360DEPTH AND GRADIENTRakesh Shiradkar, Sim Heng Ong, National University of Singapore, Singapore

TA-PA.13: PHASE UNWRAPPING AND DENOISING FOR TIME-OF-FLIGHT IMAGING ............364USING GENERALIZED APPROXIMATE MESSAGE PASSINGJonathan Mei, Ahmed Kirmani, Andrea Colaco, Vivek Goyal, Massachusetts Institute of Technology, United States

TA-PB: INTERPOLATION, SUPER-RESOLUTION AND FACE HALLUCINATION

TA-PB.1: FACE HALLUCINATION BASED ON PCA DICTIONARY PAIRS .......................................933Jingang Shi, Chun Qi, Xi’an Jiaotong University, China

TA-PB.2: DEPTH MAP INPAINTING AND SUPER-RESOLUTION BASED ON INTERNAL ...........938STATICTICS OF GEOMETRY AND APPEARANCESatoshi Ikehata, University of Tokyo, Japan; Ji-Ho Cho, Vienna University of Technology, Austria; Kiyoharu Aizawa, University of Tokyo, Japan

TA-PB.3: IMAGE SUPER-RESOLUTION VIA NON-LOCAL STEERING KERNEL ..........................943REGRESSION REGULARIZATIONKaibing Zhang, School of Computer and Information Science, Hubei Engineering University, Xiaogan 432000, China, China; Xinbo Gao, Xidian University, China; Dacheng Tao, QCIS and FEIT, University of Technology, Australia; Xuelong Li, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, China

TA-PB.4: SINGLE IMAGE SUPER-RESOLUTION USING ADAPTIVE DOMAIN .............................947TRANSFORMATIONAbhishek Singh, Narendra Ahuja, University of Illinois at Urbana-Champaign, United States

TA-PB.5: SINGLE-IMAGE SUPERRESOLUTION OF SELF-SIMILAR TEXTURES ..........................952Ido Zachevsky, Yehoshua Y. Zeevi, Technion - Israel Institute of Technology, Israel

TA-PB.6: DEPTH IMAGE SUPER-RESOLUTION USING MULTI-DICTIONARY SPARSE ............957REPRESENTATIONHaoheng Zheng, Abdesselam Bouzerdoum, Son Lam Phung, University of Wollongong, Australia

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TA-PB.7: VIDEO SUPER-RESOLUTION FOR MIXED RESOLUTION STEREO ................................962Ankit Jain, Truong Q. Nguyen, University of California, San Diego, United States

TA-PB.8: EDGE PRESERVING SINGLE IMAGE SUPER RESOLUTION IN SPARSE ......................967ENVIRONMENTSrimanta Mandal, Anil Kumar Sao, Indian Institute of Technology Mandi, India

TA-PB.9: A JOINT LEARNING BASED FACE HALLUCINATION APPROACH FOR LOW ...........972QUALITY FACE IMAGELiang Chen, Ruimin Hu, Zhen Han, Yang Xia, Junjun Jiang, Wuhan University, China

TA-PB.10: SUPER RESOLUTION METHOD ADAPTED TO SPATIAL CONTRAST..........................976Tien Ho Phuoc, Antoine Dupret, Laurent Alacoque, CEA, France

TA-PB.11: FACE HALLUCINATION REVISITED: A JOINT FRAMEWORK .....................................981Yonggang Jin, Christos Bouganis, Imperial College London, United Kingdom

TA-PB.12: IMAGE INTERPOLATION USING GABOR FILTER ............................................................986Ji-Sang Bae, Oh-Young Lee, Jong-Ok Kim, Korea University, Republic of Korea

TA-PB.13: IMAGE RESIZING WITH SIFT FEATURE PRESERVATION.............................................991Kazu Mishiba, Takeshi Yoshitome, Tottori University, Japan

TA-PB.14: ARBITRARY FACTOR IMAGE INTERPOLATION BY CONVOLUTION .......................996KERNEL CONSTRAINED 2-D AUTOREGRESSIVE MODELINGKetan Tang, Oscar C. Au, Yuanfang Guo, Jiahao Pang, Jiali Li, The Hong Kong University of Science & Technology, Hong Kong SAR of China; Lu Fang, University of Science and Technology of China, China

TA-PC: RESTORATION, RECONSTRUCTION AND COMPRESSIVE SENSING

TA-PC.2: MOTION-COMPENSATED COMPRESSED-SENSING RECONSTRUCTION .................1006FOR DYNAMIC MRISungkwang Mun, James Fowler, Mississippi State University, United States

TA-PC.3: A MAJORIZE-MINIMIZE MEMORY GRADIENT ALGORITHM APPLIED TO ...........1011X-RAY TOMOGRAPHYEmilie Chouzenoux, Fiona Zolyniak, LIGM, UMR CNRS 8049, Université Paris Est Marne-La-Vallée, France; Emmanuelle Gouillart, Unité mixte CNRS/Saint Gobain Surface du Verre et Interfaces, France; Hugues Talbot, LIGM, UMR CNRS 8049, Université Paris Est Marne-La-Vallée, France

TA-PC.4: ADAPTIVE LOW RANK AND SPARSE DECOMPOSITION OF VIDEO USING ............1016COMPRESSIVE SENSINGFei Yang, Rutgers University, United States; Hong Jiang, Bell Labs, United States; Zuowei Shen, National University of Singapore, Singapore; Wei Deng, Rice University, United States; Dimitris Metaxas, Rutgers University, United States

TA-PC.5: SPATIALLY DIRECTIONAL PREDICTIVE CODING FOR BLOCK-BASED .................1021COMPRESSIVE SENSING OF NATURAL IMAGESJian Zhang, Debin Zhao, Feng Jiang, Harbin Institute of Technology, China

TA-PC.6: NEW INSIGHTS IN HUBER AND TV-LIKE REGULARIZERS IN ....................................1026MICROWAVE IMAGINGFuning Bai, Aleksandra Pizurica, Ann Franchois, Wilfried Philips, Ghent University, Belgium

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TA-PC.7: A NEW AB INITIO RECONSTRUCTION METHOD FROM ...............................................1031UNKNOWN-DIRECTION PROJECTIONS OF 2D BINARY SETCélia Fillion, Alain Daurat, Benoît Naegel, Gabriel Frey, Etienne Baudrier, University of Strasbourg, France

TA-PC.8: DIRECT INVERSION OF MOJETTE PROJECTIONS ..........................................................1036Imants Svalbe, Monash University, Australia; Andrew Kingston, Australian National University, Australia; Jeanpierre Guédon, Nicolas Normand, LUNAM Université, University of Nantes, France; Shekhar Chandra, Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia

TA-PC.9: VALIDATION OF MOJETTE RECONSTRUCTION FROM RADON ................................1041ACQUISITIONSBenoit Recur, Henri Der Sarkissian, Myriam Servières, Nicolas Normand, Jeanpierre Guédon, LUNAM Université, France

TA-PC.10: CUBIC SURFACE FITTING TO IMAGE WITH EDGES AS CONSTRAINTS .................1046Cai-Ming Zhang, Xin Zhang, XueMei Li, Shandong University, China; Fuhua Cheng, University of Kentucky, United States

TA-PC.11: IMAGE RESTORATION WITH 2-D NON-SEPARABLE OVERSAMPLED ....................1051LAPPED TRANSFORMSShogo Muramatsu, Natsuki Aizawa, Niigata University, Japan

TA-PC.12: IMAGE RESTORATION VIA EFFICIENT GAUSSIAN MIXTURE MODEL .................1056LEARNINGJianzhou Feng, Li Song, Shanghai Jiao Tong University, China; Xiaoming Huo, Georgia Institute of Technology, United States; Xiaokang Yang, Wenjun Zhang, Shanghai Jiao Tong University, China

TA-PD: STEREOSCOPIC, MULTIVIEW AND 3D IMAGE PROCESSING I

TA-PD.1: DEPTH-BASED PREDICTION MODE FOR 3D VIDEO CODING .......................................2187Can Bal, Truong Q. Nguyen, University of California, San Diego, United States

TA-PD.2: MODEL-BASED COMPLEXITY-AWARE CODING FOR MULTIVIEW VIDEO ...........2192PLUS DEPTHViet Anh Nguyen, Advanced Digital Sciences Center, Illinois at Singapore, Singapore; Minh N. Do, University of Illinois at Urbana-Champaign, United States

TA-PD.3: EFFICIENT VIEW SYNTHESIS FOR MULTI-VIEW VIDEO PLUS DEPTH ....................2197Krishna Rao Vijayanagar, Joohee Kim, Illinois Institute of Technology, United States; Yunsik Lee, Korea Electronics Technology Institute, Republic of Korea; Jong-Bok Kim, Sane Systems, Republic of Korea

TA-PD.4: SEMI-AUTOMATIC 2D-TO-3D VIDEO CONVERSION BASED ON DEPTH ...................2202PROPAGATION FROM KEY-FRAMESGuo-Shiang Lin, Da-Yeh University, Taiwan; Jian-Fa Huang, Wen-Nung Lie, National Chung Cheng University, Taiwan

TA-PD.5: VIEW INTERPOLATION SENSITIVE TO PIXEL POSITIONS ...........................................2207Keita Takahashi, Nagoya University, Japan

TA-PD.6: TRINOCULAR STEREO IMAGE RECTIFICATION IN CLOSED-FORM ONLY ...........2212USING FUNDAMENTAL MATRICESChangming Sun, Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia

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TA-PD.7: SCALE RATIO ICP FOR 3D POINT CLOUDS WITH DIFFERENT SCALES ...................2217Baowei Lin, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Koji Ichii, Hiroshima University, Japan

TA-PD.8: ROBUST HUMAN APPEARANCE MATCHING ACROSS MULTI-CAMERAS ...............2222Beihua Zhang, Xiongcai Cai, Arcot Sowmya, The University of New South Wales, Australia

TA-PD.9: AUTOMATIC 3D DEFECTS IDENTIFICATION IN STEREOSCOPIC VIDEOS ..............2227Sotirios Delis, Nikos Nikolaidis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece

TA-PD.10: SHAPE FROM STEREO AND SHADING BY GRADIENT CONSTRAINED ..................2232INTERPOLATIONRohith MV, Scott Sorensen, Stephen Rhein, Chandra Kambhamettu, University of Delaware, United States

TA-PD.11: DEPTH FROM MOTION USING CRITICAL POINT FILTERS WITH ...........................2237UNCONSTRAINT CAMERA MOTIONYixiong Zhang, Binyou Deng, Jun Tang, Xiamen University, China

TA-PD.13: SPATIOTEMPORAL STEREO MATCHING FOR DYNAMIC SCENES WITH .............2242TEMPORAL DISPARITY VARIATIONYongho Shin, Kuk-Jin Yoon, Gwangju Institute of Science and Technology, Republic of Korea

TA-PD.14: ROBUST AND INCREMENTAL STITCHING AND CALIBRATION WITH ..................2247KNOWN ROTATION ON PAN-TILT-ZOOM CAMERAMinsoo Kim, Sunjung Kim, Jin Young Choi, Seoul National University, Republic of Korea

TA-PE: FEATURES AND SHAPE

TA-PE.1: SPEEDED-UP SURF: DESIGN OF AN EFFICIENT MULTISCALE FEATURE ...............3475DETECTORFlorian Schweiger, Georg Schroth, Robert Huitl, Technische Universität München, Germany; Yasir Latif, Universidad de Zaragoza, Spain; Eckehard Steinbach, Technische Universität München, Germany

TA-PE.2: EFFICIENT KERNEL DESCRIPTOR FOR IMAGE CATEGORIZATION VIA ...............3479PIVOTS SELECTIONBojun Xie, Yi Liu, Hui Zhang, Jian Yu, Beijing Jiaotong University, China

TA-PE.3: RELATIVE ORIENTATION AND SCALE FOR IMPROVED FEATURE ..........................3484MATCHINGSteven Mills, University of Otago, New Zealand

TA-PE.4: LOCAL FEATURE ANALYSIS USING A SINUSOIDAL SIGNAL MODEL ......................3489DERIVED FROM HIGHER-ORDER RIESZ TRANSFORMSRoss Marchant, James Cook University, Australia; Paul Jackway, Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia

TA-PE.5: A SHAPE MATCHING FRAMEWORK USING METRIC PARTITION .............................3494CONSTRAINTYu Liu, Qi Jia, He Guo, Xin Fan, Dalian University of Technology, China

TA-PE.6: AUTOMATIC DETECTION OF 3D CELL PROTRUSIONS USING SPHERICAL ...........3499WAVELETSChristel Ducroz, Jean-Christophe Olivo-Marin, Alexandre Dufour, Institut Pasteur, France

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TA-PE.7: STATISTICAL SHAPE MODELS OF PLANT LEAVES.........................................................3503Hamid Laga, University of South Australia, Australia; Sebastian Kurtek, The Ohio State University, United States; Anuj Srivastava, Florida State University, United States; Stanley Miklavcic, University of South Australia, Australia

TA-PE.8: AN ENHANCED WINDOW-VARIANT DARK CHANNEL PRIOR FOR DEPTH ............3508ESTIMATION USING SINGLE FOGGY IMAGEJie Chen, Lap-Pui Chau, Nanyang Technological University, Singapore

TA-PE.9: FROM CLAMPED LOCAL SHAPE MODELS TO GLOBAL SHAPE MODEL..................3513Hui Fang, Jingjing Deng, Xianghua Xie, Phil Grant, Swansea University, United Kingdom

TA-PE.10: SHAPE REPRESENTATION VIA ELEMENTARY SYMMETRIC ...................................3518POLYNOMIALS: A COMPLETE INVARIANT INSPIRED BY THE BISPECTRUMRenato Negrinho, Pedro Aguiar, Institute for Systems and Robotics / Instituto Superior Tecnico, Portugal

TA-PE.11: THE DELTA-MEDIAL AXIS: A ROBUST AND LINEAR TIME ALGORITHM ............3523FOR EUCLIDIAN SKELETON COMPUTATIONRomain Marie, Ouiddad Labbani-Igbida, El Mustapha Mouaddib, University of Picardie Jules Verne, France

TA-PE.12: CONTOUR COMPLETION OF PARTLY OCCLUDED OBJECTS FOR MORE ............3527NATURAL RASTER-VECTOR CONVERSIONTakahiro Hayashi, Misato Kato, Niigata University, Japan

TA-PE.13: FACE DISTANCE ESTIMATION FROM A MONOCULAR CAMERA ............................3532Shashi Kumar MS, Vimala KS, Avinash N, Wittybot Technologies / Jain University, India

TA-PE.14: PILOT STUDY OF APPLYING SHAPE ANALYSIS TO LIVER CIRRHOSIS ................3537DIAGNOSISJie Luo, The University of Tokyo, Japan; Yen-Wei Chen, Xian-Hua Han, Tomoko Tateyama, Ritsumeikan University, Japan; Akira Furukawa, Tokyo Metropolitan University, Japan; Shuzo Kanasaki, Shiga University of Medical Science, Japan

TA-PF: VIDEO SURVEILLANCE

TA-PF.1: MULTI-SHOT PERSON RE-IDENTIFICATION VIA RELATIONAL STEIN ...................3542DIVERGENCEAzadeh Alavi, Yan Yang, University of Queensland, Australia; Mehrtash Harandi, NICTA, Australia; Conrad Sanderson, Queensland University of Technology, Australia

TA-PF.2: MULTI-SCALE F-FORMATION DISCOVERY FOR GROUP DETECTION .....................3547Francesco Setti, ISTC-CNR, Italy; Oswald Lanz, FBK, Italy; Roberta Ferrario, ISTC-CNR, Italy; Vittorio Murino, Marco Cristani, University of Verona & IIT, Italy

TA-PF.3: PERSON RE-IDENTIFICATION WITH A PTZ CAMERA: AN INTRODUCTORY .........3552STUDYPietro Salvagnini, Loris Bazzani, Marco Cristani, Vittorio Murino, Istituto Italiano di Tecnologia, Italy

TA-PF.4: RECOGNITION OF SOCIAL INTERACTIONS BASED ON FEATURE ............................3557SELECTION FROM VISUAL CODEBOOKSBo Zhang, Francesco De Natale, Nicola Conci, University of Trento, Italy

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TA-PF.5: MULTI-CLASS ACTION RECOGNITION BASED ON INVERTED INDEX OF ..............3562ACTION STATESLishen Pei, Mao Ye, Pei Xu, University of Electronic Science and Technology of China, China; Xuezhuan Zhao, Chinese Academy of Sciences, China; Tao Li, University of Electronic Science and Technology of China, China

TA-PF.6: PERSON RE-IDENTIFICATION BY MANIFOLD RANKING ..............................................3567Chen Change Loy, The Chinese University of Hong Kong, Hong Kong SAR of China; Chunxiao Liu, Tsinghua University, China; Shaogang Gong, Queen Mary, University of London, United Kingdom

TA-PF.7: BEYOND PARTICLE FLOW: BAG OF TRAJECTORY GRAPHS FOR DENSE ..............3572CROWD EVENT RECOGNITIONYanhao Zhang, Harbin Institute of Technology, China; Lei Qin, Institute of Computing Technology, Chinese Academy of Sciences, China; Hongxun Yao, Pengfei Xu, Harbin Institute of Technology, China; Qingming Huang, Chinese Academy of Sciences, China

TA-PF.8: TARGET-DRIVEN VIDEO SUMMARIZATION IN A CAMERA NETWORK ...................3577Shen-Chi Chen, Kevin Lin, Shih-Yao Lin, National Taiwan University, Taiwan; Kuan-Wen Chen, Intel-NTU Connected Context Computing Center, Taiwan; Chih-Wei Lin, National Taiwan University, Taiwan; Chu-Song Chen, Institute of Information Science, Academia Sinica, Taiwan; Yi-Ping Hung, National Taiwan University, Taiwan

TA-PF.9: CROSS-VIEW ACTION RECOGNITION VIA TRANSDUCTIVE TRANSFER ................3582LEARNINGJie Qin, Zhaoxiang Zhang, Yunhong Wang, Beihang University, China

TA-PF.10: A SYSTEM BASED ON SEQUENCE LEARNING FOR EVENT DETECTION ...............3587IN SURVEILLANCE VIDEOXiaoyu Fang, Peking University, China; Ziwei Xia, Beijing Institute of Technology, China; Chi Su, Teng Xu, YongHong Tian, Peking University, China; Yaowei Wang, Beijing Institute of Technology, China; Tiejun Huang, Peking University, China

TA-PF.11: PRECISE PEOPLE COUNTING IN REAL TIME ..................................................................3592Luca Zini, Nicoletta Noceti, Francesca Odone, Università di Genova, Italy

TA-PF.12: HIERARCHICAL ACTIVITY DISCOVERY WITHIN SPATIO-TEMPORAL ................3597CONTEXT FOR VIDEO ANOMALY DETECTIONDan Xu, Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China; Xinyu Wu, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China; Dezhen Song, Texas A&M University, United States; Nannan Li, Yen-Lun Chen, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

TA-PF.13: SPARSE CODING BASED MOTION ATTENTION FOR ABNORMAL EVENT ............3602DETECTIONXun Tang, Shengping Zhang, Hongxun Yao, Harbin Institute of Technology, China

TA-PG: ESTIMATION AND RECOGNITION OF POSE, SHAPE AND MOTION

TA-PG.1: STRUCTURE FROM MOTION DIRECTLY FROM A SEQUENCE OF ............................3607BINOCULAR IMAGES WITHOUT EXPLICIT CORRESPONDENCE ESTABLISHMENTTak-Wai Hui, Ronald Chung, The Chinese University of Hong Kong, Hong Kong SAR of China

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TA-PG.2: OBJECT’S TRACKING BY ADVECTION OF A DISTANCE MAP .....................................3612Yann Lepoittevin, Isabelle Herlin, INRIA, France; Dominique Béréziat, Université Pierre et Marie Curie, France

TA-PG.3: A SFM-BASED SPARSE TO DENSE 3D FACE RECONSTRUCTION METHOD ............3617ROBUST TO FEATURE TRACKING ERRORSChang Yang, Jiansheng Chen, Cong Xia, Jing Liu, Guangda Su, Tsinghua University, China

TA-PG.4: A 3D RECONSTRUCTION OF THE HUMAN JAW FROM A SINGLE IMAGE ...............3622Aly Abdelrahim, Ahmed Shalaby, University of Louisville, United States; Shireen Elhabian, Cairo Univeristy, Egypt; James Graham, Aly Farag, University of Louisville, United States

TA-PG.5: DENSE SINGLE-SHOT 3D SCANNING VIA STEREOSCOPIC FRINGE .........................3627ANALYSISPengyu Cong, Beijing Institute of Technology, China; Zhiwei Xiong, Microsoft Research Asia, China; Yueyi Zhang, University of Science and Technology of China, China; Shenghui Zhao, Beijing Institute of Technology, China; Feng Wu, Microsoft Research Asia, China

TA-PG.6: VIDEO/GIS REGISTRATION SYSTEM BASED ON SKYLINE MATCHING ..................3632METHODShupeng Zhu, Luce Morin, Institut National des Sciences Appliquées de Rennes, France; Guillaume Moreau, Ecole Centrale de Nantes, France; Muriel Pressigout, Institut National des Sciences Appliquées de Rennes, France; Myriam Servières, Ecole Centrale de Nantes, France

TA-PG.7: ESTIMATING HEAD POSE WITH AN RGBD SENSOR: A COMPARISON OF ..............3637APPEARANCE-BASED AND POSE-BASED LOCAL SUBSPACE METHODSDonghun Kim, Johnny Park, Avinash C. Kak, Purdue University, United States

TA-PG.8: CAMERAS AND GRAVITY: ESTIMATING PLANAR OBJECT ORIENTATION ...........3642Zhaoyin Jia, Andrew Gallagher, Tsuhan Chen, Cornell University, United States

TA-PG.9: MIXTURE OF RELATED REGRESSIONS FOR HEAD POSE ESTIMATION ..................3647Lili Pan, University of Electronic Science and Technology of China, China; Risheng Liu, Dalian University of Technology, China; Mei Xie, Nanjing University, China

TA-PG.10: EVALUATION OF BINARY KEYPOINT DESCRIPTORS..................................................3652Dagmawi Bekele, Karlsruhe Institute of Technology (KIT), Germany; Michael Teutsch, Tobias Schuchert, Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Germany

TA-PG.11: LOW-BITRATE BENEFITS OF JPEG COMPRESSION ON SIFT ...................................3657RECOGNITIONMohamed Elhoseiny, Rutgers, The State University of New Jersey, United States; Bing Song, Jeremi Sudol, David McKinnon, IPPLEX Holdings Corporation, United States

TA-PG.13: ROAD SIGN DETECTION BASED ON VISUAL SALIENCY AND SHAPE ....................3667ANALYSISTao Zhang, Jingqin Lv, Jie Yang, Shanghai Jiao Tong University, China

TA-PG.14: CURVATURE SCALE-SPACE OF OPEN CURVES: THEORY AND SHAPE .................3671REPRESENTATIONBaojiang Zhong, Soochow University, China; Kai-Kuang Ma, Nanyang Technological University, Singapore; Jiwen Yang, Soochow University, China

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TA-PH: FACE AND GESTURE RECOGNITION AND TRACKING

TA-PH.1: A COMPLETE DISCRIMINATIVE SUBSPACE FOR ROBUST FACE .............................3676RECOGNITIONHongwen Huo, Lin Gao, China Electronics Standardization Institute, China; Jufu Feng, Peking University, China

TA-PH.2: RELAXED LOCAL TERNARY PATTERN FOR FACE RECOGNITION ..........................3680Jianfeng Ren, Xudong Jiang, Junsong Yuan, Nanyang Technological University, Singapore

TA-PH.3: MARKOV NETWORK-BASED MULTIPLE CLASSIFIER FOR FACE IMAGE .............3685RETRIEVALWonjun Hwang, Kyungshik Noh, Samsung Advanced Institute of Technology, Republic of Korea; Junmo Kim, Korea Advanced Institute of Science and Technology, Republic of Korea

TA-PH.4: MODULAR HIERARCHICAL FEATURE LEARNING WITH DEEP NEURAL ..............3690NETWORKS FOR FACE VERIFICATIONXue Chen, Baihua Xiao, Chunheng Wang, Xinyuan Cai, Institute of Automation, Chinese Academy of Sciences, China; Zhijian Lv, Yanqin Shi, Beijing Institute of Science and Technology Information, China

TA-PH.5: DISCRIMINATIVE SPARSITY PRESERVING EMBEDDING FOR FACE ......................3695RECOGNITIONJian Lai, Xudong Jiang, Nanyang Technological University, Singapore

TA-PH.6: USING FACIAL SYMMETRY IN THE ILLUMINATION CONE BASED 3D ...................3700FACE RECONSTRUCTIONJiansheng Chen, Cong Xia, Han Ying, Chang Yang, Guangda Su, Tsinghua University, China

TA-PH.7: 3D FACE RECOGNITION USING TOPOGRAPHIC HIGH-ORDER .................................3705DERIVATIVESAli Cheraghian, Tafresh University, Iran; Farshid Hajati, Griffith University, Australia; Ajmal Mian, The University of Western Australia, Australia; Yongsheng Gao, Griffith University, Australia; Soheila Gheisari, Central Tehran Branch, Azad University, Iran

TA-PH.8: LOCAL DESCRIPTORS MATCHING FOR 3D FACE RECOGNITION .............................3710Naoufel Werghi, Khalifa University of Science Technology & Research, United Arab Emirates; Stefano Berretti, Alberto Del Bimbo, Pietro Pala, University of Firenze, Italy

TA-PH.9: POSE-ROBUST REPRESENTATION FOR FACE VERIFICATION IN .............................3715UNCONSTRAINED VIDEOSBich Hoang Anh Nguyen, Wen Li, Nanyang Technological University, Singapore

TA-PH.10: SKIN DETECTION USING SPATIAL ANALYSIS WITH ADAPTIVE SEED ..................3720Michal Kawulok, Jolanta Kawulok, Jakub Nalepa, Maciej Papiez, Silesian University of Technology, Poland

TA-PH.11: ROBUST HAND TRACKING BASED ON ONLINE LEARNING AND ............................3725MULTI-CUE FLOCKS OF FEATURESHong Liu, Xing Liu, Peking University, China

TA-PH.12: REAL-TIME, LONG-TERM HAND TRACKING WITH UNSUPERVISED ....................3730INITIALIZATIONVincent Spruyt, Ghent University, Belgium; Alessandro Ledda, Artesis University College, Belgium; Wilfried Philips, Ghent University, Belgium

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TA-PH.13: KINECT DEPTH STREAM PRE-PROCESSING FOR HAND GESTURE .......................3735RECOGNITIONMuhammad Asad, City University London, United Kingdom; Charith Abhayaratne, University of Sheffield, United Kingdom

TA-PH.14: LEARNING SPATIO-TEMPORAL DEPENDENCIES FOR ACTION ..............................3740RECOGNITIONQiao Cai, Yafeng Yin, Hong Man, Stevens Institute of Technology, United States

TP-L1: STATISTICAL MODELS AND REGULARISATION

TP-L1.1: FAST PRINCIPAL COMPONENT PURSUIT VIA ALTERNATING ........................................69MINIMIZATIONPaul Rodriguez, Pontifical Catholic University of Peru, Peru; Brendt Wohlberg, Los Alamos National Laboratory, United States

TP-L1.2: HOW THE DISTRIBUTION OF SALIENT OBJECTS IN IMAGES .........................................74INFLUENCES SALIENT OBJECT DETECTIONBoris Schauerte, Rainer Stiefelhagen, Karlsruhe Institute of Technology (KIT), Germany

TP-L1.3: ESTIMATION OF SIGNAL DEPENDENT NOISE PARAMETERS FROM A ........................79SINGLE IMAGEXinhao Liu, Masayuki Tanaka, Masatoshi Okutomi, Tokyo Institute of Technology, Japan

TP-L1.4: INFORMATION IN A PHOTON: RELATING ENTROPY AND ...............................................83MAXIMUM-LIKELIHOOD RANGE ESTIMATION USING SINGLE-PHOTON COUNTING DETECTORSDongeek Shin, Ahmed Kirmani, Vivek Goyal, Jeffrey Shapiro, Massachusetts Institute of Technology, United States

TP-L1.5: IMAGE DENOISING USING DUAL TREE STATISTICAL MODELS FOR ...........................88COMPLEX WAVELET TRANSFORM COEFFICIENT MAGNITUDESPaul Hill, Alin Achim, The University of Bristol, United Kingdom; Mohammed Al-Mualla, Khalifa University of Science Technology & Research, United Arab Emirates; David Bull, University of Bristol, United Kingdom

TP-L1.6: FROM RELATION BETWEEN K-SVD AND FOE TO THE PURSUIT OF .............................93NATURAL IMAGES SPACEFeng Jiang, Xulin Wang, Debin Zhao, Harbin Institute of Technology, China

TP-L1.7: MINING ACTIVITIES USING STICKY MULTIMODAL DUAL HIERARCHICAL .............98DIRICHLET PROCESS HIDDEN MARKOV MODELGuodong Tian, Chunfeng Yuan, Weiming Hu, Institute of Automation, Chinese Academy of Sciences, China; Zhaoquan Cai, Huizhou University, China

TP-L2: INTERPOLATION AND SUPER-RESOLUTION

TP-L2.1: ADAPTIVE JOINT NONLOCAL MEANS DENOISING BACK PROJECTION FOR .........630IMAGE SUPER RESOLUTIONZongliang Gan, Ziguan Cui, Changhong Chen, Xiuchang Zhu, Nanjing University of Posts and Telecommunications, China

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TP-L2.2: A SINGLE-IMAGE SUPER-RESOLUTION METHOD VIA LOW-RANK MATRIX ...........635RECOVERY AND NONLINEAR MAPPINGSXiaoxuan Chen, Chun Qi, Xi’an Jiaotong University, China

TP-L2.3: FAST SINGLE-IMAGE SUPER-RESOLUTION WITH FILTER SELECTION .....................640Jordi Salvador, Eduardo Pérez-Pellitero, Axel Kochale, Technicolor, Germany

TP-L2.4: OPTIMIZED NEIGHBOR EMBEDDINGS FOR SINGLE-IMAGE .........................................645SUPER-RESOLUTIONMehmet Turkan, Dominique Thoreau, Philippe Guillotel, Technicolor R&D France, France

TP-L2.5: GUIDED IMAGE UPSAMPLING USING BITMAP TRACING ................................................650Shankar Krishnan, James Klosowski, AT&T Labs Research, United States

TP-L2.6: IMAGE INTERPOLATION USING SHEARLET BASED SPARSITY PRIORS ....................655Haricharan Lakshman, Fraunhofer Heinrich Hertz Institute, Germany; Wang-Q Lim, Technical University of Berlin, Germany; Heiko Schwarz, Detlev Marpe, Fraunhofer Heinrich Hertz Institute, Germany; Gitta Kutyniok, Technical University of Berlin, Germany; Thomas Wiegand, Fraunhofer Heinrich Hertz Institute/Technical University of Berlin, Germany

TP-L2.7: DYNAMIC SUPER RESOLUTION OF DEPTH SEQUENCES WITH ....................................660NON-RIGID MOTIONSKassem Al Ismaeil, Djamila Aouada, SnT - University of Luxembourg, Luxembourg; Bruno Mirbach, IEE S.A., Luxembourg; Bjorn Ottersten, SnT - Univeristy of Luxembourg, Luxembourg

TP-L3: SEGMENTATION AND ESTIMATION IN BIOMEDICAL IMAGING

TP-L3.1: VECTOR FIELD CONVOLUTION MEDIALNESS APPLIED TO NEURON .......................665TRACINGSuvadip Mukherjee, Scott Acton, University of Virginia, United States

TP-L3.2: DROSOPHILA EYE NUCLEI SEGMENTATION BASED ON GRAPH CUT AND .............670CONVEX SHAPE PRIORJin Qi, Bao Wang, Nicolas Pelaez, Northwestern University, United States; Ilaria Rebay, University of Chicago, United States; Richard Carthew, Aggelos K. Katsaggelos, Luis Amaral, Northwestern University, United States

TP-L3.3: A CASE ANALYSIS OF THE IMPACT OF PRIOR CENTER OF GRAVITY .......................675ESTIMATION OVER SKULL-STRIPPING ALGORITHMS IN MR IMAGESPaulo André Vechiatto de Miranda, University of São Paulo, Brazil; Fábio Augusto Menocci Cappabianco, Jaime Shinsuke Ide, Universidade Federal de São Paulo, Brazil

TP-L3.4: VOXEL LABELLING IN CT IMAGES WITH DATA-DRIVEN CONTEXTUAL .................680FEATURESKang Dang, Junsong Yuan, Nanyang Technological University, Singapore; Ho Yee Tiong, National University Hospital, Singapore

TP-L3.7: LEFT VENTRICLE SEGMENTATION FROM CARDIAC MRI COMBINING ...................695LEVEL SET METHODS WITH DEEP BELIEF NETWORKSTuan Anh Ngo, Gustavo Carneiro, University of Adelaide, Australia

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TP-L4: STEREOSCOPIC, MULTIVIEW AND 3D IMAGE PROCESSING II

TP-L4.1: PREDICTIVE DEPTH MAP CODING FOR EFFICIENT VIRTUAL VIEW .......................2058SYNTHESISLuís Lucas, Instituto de Telecomunicações / Universidade Federal do Rio de Janeiro, Portugal; Nuno Rodrigues, Instituto de Telecomunicações / Instituto Politécnico Leiria, Portugal; Carla Pagliari, Instituto Militar de Engenharia, Brazil; Eduardo da Silva, Universidade Federal do Rio de Janeiro, Brazil; Sérgio de Faria, Instituto de Telecomunicações / Instituto Politécnico Leiria, Portugal

TP-L4.2: QUADRATIC FORMULATION OF DISPARITY ESTIMATION PROBLEM FOR ..........2063LIGHT-FIELD CAMERAStepan Tulyakov, TaeHee Lee, HeeChul Han, Samsung Electronics, Republic of Korea

TP-L4.3: DEPTH VIDEO CODING FOR FREE VIEWPOINT VIDEO ORIENTED TO ....................2068THE SYNTHETIC VIEW PERCEPTUAL QUALITYGianluca Cernigliaro, Fernando Jaureguizar, Julián Cabrera, Narciso García, Universidad Politécnica de Madrid, Spain

TP-L4.4: OCCLUSION ROBUST FREE-VIEWPOINT VIDEO SYNTHESIS BASED ON .................2072INTER-CAMERA/-FRAME INTERPOLATIONKentaro Yamada, Hiroshi Sankoh, Masaru Sugano, Sei Naito, KDDI R&D Laboratories, Inc, Japan

TP-L4.5: ROBUST FEATURE POINT MATCHING BASED ON GEOMETRIC ................................2077CONSISTENCY AND AFFINE INVARIANT SPATIAL CONSTRAINTXianwei Xu, Chuan Yu, Jie Zhou, Tsinghua University, China

TP-L4.6: ROBUST STEREO MATCHING UNDER RADIOMETRIC VARIATIONS BASED ..........2082ON CUMULATIVE DISTRIBUTIONS OF GRADIENTSIl-Lyong Jung, Korea University, Republic of Korea; Jae-Young Sim, Ulsan National Institute of Science and Technology, Republic of Korea; Chang-Su Kim, Korea University, Republic of Korea; Sang-Uk Lee, Seoul National University, Republic of Korea

TP-L4.7: SCENE FLOW CONSTRAINED MULTI-PRIOR PATCH-SWEEPING FOR .....................2086REAL-TIME UPPER BODY 3D RECONSTRUCTIONWolfgang Waizenegger, Fraunhofer Institute for Telecommunications / Humboldt University, Berlin, Germany; Ingo Feldmann, Oliver Schreer, Fraunhofer Institute for Telecommunications, Berlin, Germany; Peter Eisert, Fraunhofer Institute for Telecommunications / Humboldt University, Berlin, Germany

TP-L5: SEGMENTATION I

TP-L5.1: UNSUPERVISED IMAGE SEGMENTATION USING GLOBAL SPATIAL ........................2704CONSTRAINT AND MULTI-SCALE REPRESENTATION ON MULTIPLE SEGMENTATION PROPOSALSLinjia Sun, Xiaohui Liang, Beihang University, China

TP-L5.2: DEPTH-ADAPTIVE SUPERVOXELS FOR RGB-D VIDEO SEGMENTATION .................2708David Weikersdorfer, Technische Universität München, Germany; Alexander Schick, Fraunhofer, Germany; Daniel Cremers, Technische Universität München, Germany

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TP-L5.3: A FAST LEARNING ALGORITHM FOR IMAGE SEGMENTATION WITH ....................2713MAX-POOLING CONVOLUTIONAL NETWORKSJonathan Masci, Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA), Università della Svizzera Italiana (USI), Switzerland; Alessandro Giusti, Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA), Switzerland; Dan Claudiu Ciresan, Dalle Molle Institute for Artificial Intelligence Research, Switzerland; Gabriel Fricout, Arcelor Mittal, France; Juergen Schmidhuber, IDSIA - USI - SUPSI, Switzerland

TP-L5.4: EFFICIENT AND ROBUST IMAGE SEGMENTATION WITH A NEW .............................2718PIECEWISE-SMOOTH DECOMPOSITION MODELYing Gu, Institute for Infocomm Research, Singapore; Li-Lian Wang, Nanyang Technological University, Singapore; Wei Xiong, Jierong Cheng, Weimin Huang, Jiayin Zhou, Institute for Infocomm Research, Singapore

TP-L5.5: IMPROVED GRAPH CUT SEGMENTATION BY LEARNING A CONTRAST .................2723MODEL ON THE FLYKevin McGuinness, Noel E. O’Connor, Dublin City University, Ireland

TP-L5.6: A FAST ANTI-NOISE FUZZY C-MEANS ALGORITHM FOR IMAGE ..............................2728SEGMENTATIONFu-Hua Zheng, Cai-Ming Zhang, Xiao-Feng Zhang, Yi Liu, Shandong University, China

TP-L5.7: AN INTEGRATED GRAPH-BASED FACE SEGMENTATION APPROACH FROM .......2733KINECT VIDEOSJixia Zhang, Institute of Automation, Chinese Academy of Sciences, China; Haibo Wang, Shandong University, China; Shaoguo Liu, Jiangyong Duan, Ying Wang, Chunhong Pan, Institute of Automation, Chinese Academy of Sciences, China

TP-L6: OBJECT RECOGNITION AND CLASSIFICATION II

TP-L6.1: VISUAL OBJECT DETECTION BY PARTS-BASED MODELING USING ........................2738EXTENDED HISTOGRAM OF GRADIENTSAmit Satpathy, Xudong Jiang, Nanyang Technological University, Singapore; How-Lung Eng, Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore

TP-L6.2: SEMI-SUPERVISED VISUAL RECOGNITION WITH CONSTRAINED GRAPH ............2743REGULARIZED NON NEGATIVE MATRIX FACTORIZATIONWeiwei Guo, Weidong Hu, National University of Defense and Technology, China; Nikolaos Boulgouris, Brunel University, United Kingdom; Ioannis Patras, Queen Mary, University of London, United Kingdom

TP-L6.3: CONTEXT BASED FOOD IMAGE ANALYSIS ........................................................................2748Ye He, Chang Xu, Purdue University, United States; Nitin Khanna, Graphic Era University, India; Carol Boushey, University of Hawaii Cancer Center, United States; Edward Delp, Purdue University, United States

TP-L6.4: HEAD-SHOULDER BASED GENDER RECOGNITION .........................................................2753Min Li, Shenghua Bao, Weishan Dong, Yu Wang, Zhong Su, IBM China Research Laboratory, China

TP-L6.5: ROBUST ROAD DETECTION FROM A SINGLE IMAGE USING ROAD SHAPE ...........2757PRIORZhen He, Tao Wu, Zhipeng Xiao, Hangen He, National University of Defense Technology, China

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TP-L6.6: LEARNING-BASED AUTOMATIC DEFECT RECOGNITION WITH ................................2762COMPUTED TOMOGRAPHIC IMAGINGFei Zhao, Paulo Mendonca, Jie Yu, Robert Kaucic, GE Global Research, United States

TP-L6.7: A SPATIAL-TEMPORAL CONSTRAINT-BASED ACTION RECOGNITION ...................2767METHODTingting Han, Hongxun Yao, Yanhao Zhang, Pengfei Xu, Harbin Institute of Technology, China

TP-L7: BIOMETRICS I

TP-L7.1: COUPLED LATENT LEAST SQUARES REGRESSION FOR ..............................................2772HETEROGENEOUS FACE RECOGNITIONXinyuan Cai, Chunheng Wang, Baihua Xiao, Xue Chen, Institute of Automation, Chinese Academy of Sciences, China; Zhijian Lv, Yanqin Shi, Beijing Institute of Science and Technology Information, China

TP-L7.2: FACE RECOGNITION USING HISTOGRAM OF CO-OCCURRENCE GABOR ..............2777PHASE PATTERNSCong Wang, Zhenhua Chai, Zhenan Sun, Chinese Academy of Sciences, China

TP-L7.3: MAXIMUM CORRENTROPY CRITERION BASED 3D HEAD TRACKING ....................2782WITH COMMODITY DEPTH CAMERAShaoguo Liu, CASIA, China; Haibo Wang, Shandong University, China; Ying Wang, Jixia Zhang, Chunhong Pan, CASIA, China

TP-L7.4: PERSON INDEPENDENT 3D GAZE ESTIMATION FROM REMOTE RGB-D .................2787CAMERASKenneth Alberto Funes Mora, Jean-Marc Odobez, Idiap Research Institute, Switzerland

TP-L7.5: CAN HOLISTIC REPRESENTATIONS BE USED FOR FACE BIOMETRIC ....................2792QUALITY ASSESSMENT?Samarth Bharadwaj, Mayank Vatsa, Richa Singh, IIIT Delhi, India

TP-L7.6: BOOSTING LOCAL DESCRIPTORS FOR MATCHING COMPOSITE AND ....................2797DIGITAL FACE IMAGESParitosh Mittal, Aishwarya Jain, Richa Singh, Mayank Vatsa, IIIT Delhi, India

TP-L7.7: COUPLED-LAYER NEIGHBOR EMBEDDING FOR SURVEILLANCE FACE ................2802HALLUCINATIONJunjun Jiang, Ruimin Hu, Liang Chen, Zhen Han, Tao Lu, Jun Chen, Wuhan University, China

TP-L8: MULTIMEDIA FORENSICS AND APPLICATIONS

TP-L8.1: QUANTIZATION LATTICE ESTIMATION FOR MULTIMEDIA FORENSICS ................4452Pedro Comesaña-Alfaro, Fernando Pérez-González, Noelia Liste, University of Vigo, Spain

TP-L8.2: VIDEO RECAPTURE DETECTION BASED ON GHOSTING ARTIFACT ........................4457ANALYSISPaolo Bestagini, Politecnico di Milano, Italy; Marco Visentini-Scarzanella, Imperial College London, United Kingdom; Marco Tagliasacchi, Politecnico di Milano, Italy; Pier Luigi Dragotti, Imperial College London, United Kingdom; Stefano Tubaro, Politecnico di Milano, Italy

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TP-L8.3: IMAGE SPLICING DETECTION BASED ON NONCAUSAL MARKOV MODEL ............4462Xudong Zhao, Shilin Wang, Shenghong Li, Jianhua Li, Quanqiao Yuan, Shanghai Jiao Tong University, China

TP-L8.4: EXPOSING IMAGE FORGERY THROUGH THE DETECTION OF ..................................4467CONTRAST ENHANCEMENTXufeng Lin, Chang-Tsun Li, University of Warwick, United Kingdom; Yongjian Hu, South China University of Technology, China

TP-L8.5: MIXED-STRATEGY NASH EQUILIBRIUM IN THE CAMERA SOURCE ........................4472IDENTIFICATION GAMEHui Zeng, Xiangui Kang, Jiwu Huang, Sun Yat-sen University, China

TP-L8.6: IDENTIFICATION OF THE MOTION ESTIMATION STRATEGY USING ......................4477EIGENALGORITHMSSimone Milani, Marco Tagliasacchi, Stefano Tubaro, Politecnico di Milano, Italy

TP-L8.7: LEARNING TO MULTIMODAL HASH FOR ROBUST VIDEO COPY ..............................4482DETECTIONHaiyan Peng, Cheng Deng, Lingling An, Xinbo Gao, Xidian University, China; Dacheng Tao, University of Technology, Sydney, Australia

TP-PA: RESTORATION AND ENHANCEMENT II

TP-PA.1: FAST IMAGE RETARGETING VIA AXIS-ALIGNED IMPORTANCE SCALING ...........1061Sunghwan Choi, Bumsub Ham, Kwanghoon Sohn, Yonsei University, Republic of Korea

TP-PA.2: GENERALIZED IMAGE RETARGETING VIA CONVEX OPTIMIZATION ....................1066Keisuke Nonaka, Tokyo Institute of Technology, Japan; Takamichi Miyata, Chiba Institute of Technology, Japan; Yoshinori Hatori, Tokyo Institute of Technology, Japan

TP-PA.3: FREQUENCY-DOMAIN ANALYSIS OF DISCRETE WAVELET TRANSFORM ............1071COEFFICIENTS AND THEIR ADAPTIVE SHRINKAGE FOR ANTI-ALIASINGEunjung Chae, Eunsung Lee, Wonseok Kang, Younghoon Lim, Chung-Ang University, Republic of Korea; Junghoon Jung, Taechan Kim, Samsung Electronics, Republic of Korea; Aggelos K. Katsaggelos, Northwestern University, United States; Joonki Paik, Chung-Ang University, Republic of Korea

TP-PA.4: DENOISING OF TIME-OF-FLIGHT DEPTH DATA VIA ITERATIVELY ........................1075REWEIGHTED LEAST SQUARES MINIMIZATIONOuk Choi, Byongmin Kang, Samsung Advanced Institute of Technology, Republic of Korea

TP-PA.5: PROJECTIVE IMAGE RESTORATION USING SPARSITY REGULARIZATION ..........1080Nantheera Anantrasirichai, Jeremy Burn, David Bull, University of Bristol, United Kingdom

TP-PA.6: ADAPTIVE DEBLURRING OF SURVEILLANCE VIDEO SEQUENCES THAT .............1085DETERIORATE OVER TIMEKonstantinos Vougioukas, Bastiaan J. Boom, Robert Bob Fisher, University of Edinburgh, United Kingdom

TP-PA.7: KINECT DEPTH MAP BASED ENHANCEMENT FOR LOW LIGHT ...............................1090SURVEILLANCE IMAGEJinhui Hu, Ruimin Hu, Zhongyuan Wang, Yan Gong, Mang Duan, Wuhan University, China

TP-PA.8: A BAYESIAN APPROACH FOR NATURAL IMAGE DENOISING .....................................1095Jordi Salvador, Malte Borsum, Axel Kochale, Technicolor, Germany

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TP-PA.9: A WAVELETS BASED DE-RINGING TECHNIQUE FOR DCT BASED ............................1100COMPRESSED VISUAL DATAFrancesco Michielin, Giancarlo Calvagno, University of Padova, Italy; Piergiorgio Sartor, Oliver Erdler, Sony Deutschland GmbH, Germany

TP-PA.10: A SPARSE LINEAR MODEL FOR SALIENCY-GUIDED DECOLORIZATION..............1105Chun-Wei Liu, Tyng-Luh Liu, Academia Sinica, Taiwan

TP-PA.11: ADAPTIVE-WEIGHTED BILATERAL FILTERING FOR OPTICAL ..............................1110COHERENCE TOMOGRAPHYNantheera Anantrasirichai, Lindsay Nicholson, University of Bristol, United Kingdom; James E Morgan, Irina Erchova, Cardiff University, United Kingdom; Alin Achim, University of Bristol, United Kingdom

TP-PA.12: BOOSTING “SHOTGUN DENOISING” BY PATCH NORMALIZATION ........................1115Nicola Pierazzo, ENS-Cachan, France; Martin Rais, UIB, Spain

TP-PA.13: ADAPTIVE REAL-TIME IMAGE SMOOTHING USING LOCAL BINARY ...................1120PATTERNS AND GAUSSIAN FILTERSMichael Teutsch, Patrick Trantelle, Juergen Beyerer, Fraunhofer IOSB, Germany

TP-PB: BIOMEDICAL IMAGE ANALYSIS II

TP-PB.1: STAIN UNMIXING IN BRIGHTFIELD MULTIPLEXED .....................................................1125IMMUNOHISTOCHEMISTRYCédric Wemmert, University of Strasbourg, France; Juliane Krüger, Roche Diagnostics GmbH, Germany; Germain Forestier, University of Haute-Alsace, France; Ludovic Sternberger, F. Hoffmann-La Roche Ltd, Switzerland; Friedrich Feuerhake, Hannover Medical School, Germany; Pierre Gançarski, University of Strasbourg, France

TP-PB.2: AUTOMATIC MEASUREMENT ON CT IMAGES FOR PATELLA DISLOCATION ......1130DIAGNOSISQi Kong, Shandong University, China; Shaoshan Wang, Jiushan Yang, Affiliated hospital of Shandong University of TCM, China; Ruiqi Zou, Shandong University of TCM, China; Yan Huang, Yilong Yin, Jingliang Peng, Shandong University, China

TP-PB.3: OPTIMAL AND EFFICIENT SEGMENTATION FOR 3D VASCULAR FOREST ............1135STRUCTURE WITH GRAPH CUTSNing Zhu, Albert Chung, The Hong Kong University of Science & Technology, Hong Kong SAR of China

TP-PB.4: A NEW ACTIVE CONTOUR MODEL-BASED SEGMENTATION APPROACH ..............1140FOR ACCURATE EXTRACTION OF THE LESION FROM BREAST DCE-MRIYiping Liu, Hui Liu, Dalian University of Technology, China; Zuowei Zhao, Second Affiliated Hospital, Dalian Medical University, China; Lina Zhang, First Affiliated Hospital, Dalian Medical University, China; Xiang Liu, Dalian Jiaotong University, China

TP-PB.5: SEGMENTATION OF KIDNEYS FROM COMPUTED TOMOGRAPHY ..........................1144USING 3D FAST GROWCUT ALGORITHMGao-Yuan Dai, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences / South China Normal University, China; Zhi-Cheng Li, Jia Gu, Lei Wang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China; Xing-Min Li, South China Normal University, China

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TP-PB.6: FUZZY LOGIC AND LOCAL FEATURES BASED MEDICAL IMAGE .............................1148SEGMENTATIONUmer Javed, International Islamic University, Pakistan; Muhammad Mohsin Riaz, National University of Sciences and Technology (NUST), Pakistan; Muhammad Rizwan Khokher, University of Wollongong, Australia; Abdul Ghafoor, National University of Sciences and Technology (NUST), Pakistan; Tanveer Ahmed Cheema, Isra University, Pakistan

TP-PB.7: THREE DIMENSIONAL SEGMENTATION OF FLUORESCENCE ...................................1153MICROSCOPY IMAGES USING ACTIVE SURFACESKevin Lorenz, Purdue University, United States; Paul Salama, Kenneth Dunn, Indiana University, United States; Edward Delp, Purdue University, United States

TP-PB.8: AUTOMATIC DETECTION OF SMALL SPHERICAL LESIONS USING .........................1158MULTISCALE APPROACH IN 3D MEDICAL IMAGESAmir Fazlollahi, The Australian e-Health Research Centre-BioMedIA, Australia; Fabrice Mériaudeau, Université de Bourgogne, France; Victor Villemagne, Christopher Rowe, Department of Nuclear Medicine and Centre for PET, Australia; Patricia Desmond, University of Melbourne, Australia; Paul Yates, Department of Nuclear Medicine and Centre for PET, Australia; Olivier Salvado, Pierrick Bourgeat, The Australian e-Health Research Centre-BioMedIA, Australia; on behalf of the AIBL Research Group, The Australian Imaging, Biomarker & Lifestyle Flagship Study of Ageing (AIBL), Australia

TP-PB.9: QUANTIFYING CHALLENGING IMAGES OF FIBER-LIKE STRUCTURES ..................1163Alessandro Giusti, Jonathan Masci, Dalle Molle Institute for Artificial Intelligence, Switzerland; Paola M.V. Rancoita, Dalle Molle Institute for Artificial Intelligence and Universita’ San Raffaele, Switzerland

TP-PB.10: DETECTING MILD TRAUMATIC BRAIN INJURY USING DYNAMIC LOW ..............1167LEVEL CONTEXTAnthony Bianchi, Bir Bhanu, Virginia Donovan, University of California, Riverside, United States; Andre Obenaus, Loma Linda University, United States

TP-PB.11: TRACK FAST-MOVING TINY FLIES BY ADAPTIVE LBP FEATURE AND .................1172CASCADED DATA ASSOCIATIONMingzhong Li, Zhaozheng Yin, Matthew Thimgan, Ruwen Qin, Missouri University of Science and Technology, United States

TP-PB.12: A SHAPE-TEMPLATE BASED TWO-STAGE CORPUS CALLOSUM .............................1177SEGMENTATION TECHNIQUE FOR SAGITTAL PLANE T1-WEIGHTED BRAIN MAGNETIC RESONANCE IMAGESJayanth Krishna Mogali, Naren Nallapareddy, Chandra Sekhar Seelamantula, Indian Institute of Science, India; Michael Unser, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

TP-PB.13: EFFICIENT GRAPH CUTS BASED EXTRACTION OF VERTEBRAL ............................1182COLUMN AND RIBS IN LUNG MDCT IMAGESBanafsheh Pazokifard, Arcot Sowmya, University of New South Wales, Australia

TP-PB.14: ROTATIONS IN THE MOJETTE SPACE ...............................................................................1187Henri Der Sarkissian, Benoit Recur, Nicolas Normand, Jeanpierre Guédon, LUNAM Université, France

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TP-PC: IMAGE AND VIDEO CODING & COMMUNICATION II

TP-PC.1: ADAPTIVE RAID: INTRODUCTION OF OPTIMIZED STORAGE ....................................1826TECHNIQUES FOR SCALABLE MEDIAHeiko Sparenberg, Tobias Joormann, Carsten Feldheim, Siegfried Foessel, Fraunhofer IIS, Germany

TP-PC.2: CONTENT-ADAPTIVE REFERENCE FRAME COMPRESSION BASED ON ..................1831INTRA-FRAME PREDICTION FOR MULTIVIEW VIDEO CODINGFelipe Sampaio, Bruno Zatt, Federal University of Rio Grande do Sul, Brazil; Muhammad Shafique, Karlsruhe Institute of Technology (KIT), Germany; Luciano Agostini, Federal University of Pelotas, Brazil; Jörg Henkel, Karlsruhe Institute of Technology (KIT), Germany; Sergio Bampi, Federal University of Rio Grande do Sul, Brazil

TP-PC.3: PARALLELING VARIABLE BLOCK SIZE MOTION ESTIMATION OF HEVC ............1836ON MULTI- CORE CPU PLUS GPU PLATFORMXiang-Wen Wang, Shanghai University of Electric Power, China; Li Song, Shanghai Jiao Tong University, China; Min Chen, Shanghai Junguan Info. Tech. Co. Ltd., China; Jun-Jie Yang, Shanghai University of Electric Power, China

TP-PC.4: SCALABLE VS. MULTIPLE-DESCRIPTION VIDEO CODING FOR ADAPTIVE ..........1840STREAMING OVER PEER-TO-PEER NETWORKSKadir Bagci, Cihat Gurler, Murat Tekalp, Koc University, Turkey

TP-PC.5: CONTENT-AWARE COMPRESSION USING SALIENCY-DRIVEN IMAGE ...................1845RETARGETINGFabio Zund, Disney Research Zurich / ETH Zürich, Switzerland; Yael Pritch, Alexander Sorkine-Hornung, Stefan Mangold, Disney Research Zurich, Switzerland; Thomas Gross, ETH Zurich, Switzerland

TP-PC.6: AN ADAPTIVE WORKLOAD MANAGEMENT SCHEME FOR HEVC .............................1850ENCODINGMateus Grellert, Muhammad Shafique, Muhammad Usman Karim Khan, Karlsruhe Institute of Technology (KIT), Germany; Luciano Agostini, Julio C. B. Mattos, Federal University of Pelotas, Brazil; Jörg Henkel, Karlsruhe Institute of Technology (KIT), Germany

TP-PC.7: QUANTIZATION TABLE DESIGN REVISITED FOR IMAGE/VIDEO CODING .............1855En-Hui Yang, Chang Sun, Jin Meng, University of Waterloo, Canada

TP-PC.8: HANDLING PACKET LOSS IN WEBRTC ...............................................................................1860Stefan Holmer, Mikhal Shemer, Marco Paniconi, Google Inc., Sweden

TP-PC.9: ILLUMINATION COMPENSATION VIA LOW RANK MATRIX COMPLETION ..........1865FOR MULTIVIEW VIDEO CODINGXiaopeng Zhang, Hongkai Xiong, Shanghai Jiao Tong University, China

TP-PC.10: A MAXIMUM LIKELIHOOD APPROACH TO CORRECTING TRANSMISSION ........1870ERRORS FOR JOINT SOURCE-CHANNEL DECODING OF H.264 CODED VIDEOFrançois Caron, Stéphane Coulombe, École de technologie supérieure, Canada

TP-PC.11: ERROR-RESILIENT VIDEO CODING USING MULTIPLE REFERENCE .....................1875FRAMESWen-Jiin Tsai, Yu-Chen Sun, National Chiao Tung University, Taiwan

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TP-PC.12: AN ERROR CONCEALMENT ADAPTIVE FRAMEWORK FOR INTRA-FRAMES ......1880Daqing Zhang, Shenghong Li, Kongjin Yang, Yuchun Jing, Shanghai Jiao Tong University, China

TP-PC.13: EFFICIENT TRANSMISSION OF MULTIVIEW VIDEO OVER .......................................1885UNRELIABLE CHANNELSNaeem Ramzan, Abbes Amira, Christos Grecos, University of West of Scotland, United Kingdom

TP-PC.14: RATE-COMPLEXITY TRADEOFF FOR CLIENT-SIDE FREE VIEWPOINT ................1890IMAGE RENDERINGYu Gao, Simon Fraser University, Canada; Gene Cheung, National Institute of Informatics, Japan; Jie Liang, Simon Fraser University, Canada

TP-PD: RADAR, REMOTE-SENSING AND GEOPHYSICAL IMAGING

TP-PD.1: SPATIO-TEMPORAL SEGMENTATION AND ESTIMATION OF OCEAN .....................2344SURFACE CURRENTS FROM SATELLITE SEA SURFACE TEMPERATURE FIELDSPierre Tandeo, Telecom Bretagne, France; Bertrand Chapron, IFREMER, France; Sileye Ba, Telecom Bretagne, France; Emmanuelle Autret, IFREMER, France; Ronan Fablet, Telecom Bretagne, France

TP-PD.2: SENSITIVITY ANALYSIS OF COMPRESSED SENSING ISAR IMAGING TO ...............2349ROTATIONAL ACCELERATION RATE MISMATCHAhmed S. Khwaja, Xiao-Ping Zhang, Ryerson university, Canada

TP-PD.3: PHOTOMETRIC LUNAR SURFACE RECONSTRUCTION .................................................2354Ara Nefian, Carnegie Mellon University, United States; Oleg Alexandrov, Zachary Moratto, Stinger Ghaffarian Technologies, United States; Taemin Kim, Oak Ridge Associated Universities, United States; Ross Beyer, SETI Institute, United States

TP-PD.4: TEMPORAL RATE UP-CONVERSION OF SYNTHETIC APERTURE RADAR ..............2358VIA LOW-RANK MATRIX RECOVERYMinh Dao, Johns Hopkins University, United States; Lam Nguyen, U.S. Army Research Laboratory, United States; Trac Tran, Johns Hopkins University, United States

TP-PD.5: NEAR-INFRARED GUIDED COLOR IMAGE DEHAZING ..................................................2363Chen Feng, Shaojie Zhuo, Xiaopeng Zhang, Liang Shen, Qualcomm Canada Inc., Canada; Sabine Süsstrunk, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

TP-PD.6: LOCAL DIP TRANSFORMATION FOR FAST SEISMIC HORIZON .................................2368RECONSTRUCTIONGuillaume Zinck, Marc Donias, Jacques Daniel, Olivier Lavialle, University of Bordeaux, France

TP-PD.8: IMAGE FORMATION MODEL FOR PHOTON SIEVES .......................................................2373Figen Oktem, University of Illinois at Urbana-Champaign, United States; Joseph Davila, NASA Goddard Space Flight Center, United States; Farzad Kamalabadi, University of Illinois at Urbana-Champaign, United States

TP-PD.9: MULTISCALE DISTILLED SENSING: A SOURCE DETECTION METHOD ..................2378FOR INFRARED AND RADIO ASTRONOMICAL IMAGESMarc Masias, Xavier Lladó, Marta Peracaula, Jordi Freixenet, University of Girona, Spain

TP-PD.10: MULTISPECTRAL VENOUS IMAGES ANALYSIS FOR OPTIMUM ..............................2383ILLUMINATION SELECTIONAamir Shahzad, Nicolas Walter, Aamir Saeed Malik, Mohamad Naufal Mohamad Saad, Universiti Teknologi Petronas, Malaysia; Fabrice Mériaudeau, Université de Bourgogne, France

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TP-PD.11: SPECTRAL REFLECTANCE ESTIMATION FROM VISIBLE LIGHT ...........................2388COMPONENTS AND NEAR-INFRARED COMPONENTSYuta Igarashi, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan

TP-PD.12: SALIENT OBJECT DETECTION IN HYPERSPECTRAL IMAGERY ..............................2393Jie Liang, Australian National Univeristy, Australia; Jun Zhou, Griffith University, Australia; Xiao Bai, Beihang University, China; Yuntao Qian, Zhejiang University, China

TP-PD.13: NEW APPROXIMATED INVERSION OF SPHERICAL RADON TRANSFORM ...........2398IN SAR IMAGINGRémi Régnier, Gaël Rigaud, Maï Nguyen, Laboratory Equipe Traitement de l’Information et Systèmes, CNRS UMR 8051/ENSEA/Université de Cergy-Pontoise, France

TP-PD.14: GENERALIZED MULTIVARIATE EXPONENTIAL POWER PRIOR FOR ...................2402WAVELET-BASED MULTICHANNEL IMAGE RESTORATIONYosra Marnissi, Amel Benazza-Benyahia, COSIM Lab., SUP’COM, Carthage University, Tunisia; Emilie Chouzenoux, Jean-Christophe Pesquet, LIGM, UMR CNRS 8049, Université Paris Est Marne-La-Vallée, France

TP-PE: CLASSIFICATION IV

TP-PE.1: GRAPH-BASED MULTIPLE INSTANCE LEARNING FOR ACTION ................................3745RECOGNITIONZixin Guo, Yang Yi, Sun Yat-sen University, China

TP-PE.3: TRAFFIC SIGN CLASSIFICATION USING TWO-LAYER IMAGE ...................................3755REPRESENTATIONYingying Zhu, Xinggang Wang, Cong Yao, Xiang Bai, HuaZhong University of Science and Technology, China

TP-PE.5: EXPLOITING THE SVM CONSTRAINTS IN NMF WITH APPLICATION IN .................3765EATING AND DRINKING ACTIVITY RECOGNITIONOlga Zoidi, Anastasios Tefas, Ioannis Pitas, Aristotle University of Thessaloniki, Greece

TP-PE.6: ROBUST FACE RECOGNITION VIA DOUBLE LOW-RANK MATRIX ...........................3770RECOVERY FOR FEATURE EXTRACTIONMing Yin, Shuting Cai, Guangdong University of Technology, China; Junbin Gao, Charles Sturt University, Australia

TP-PE.7: A VISION-BASED METHOD FOR AUTOMATIZING TEA SHOOTS ................................3775DETECTIONHai Vu, Hanoi University of Science and Technology, Viet Nam; Thuy Thi Nguyen, Hanoi University of Agriculture, Viet Nam; Thi-Lan Le, Thanh-Hai Tran, Hanoi University of Science and Technology, Viet Nam

TP-PE.8: EBSD IMAGE SEGMENTATION USING A PHYSICS-BASED FORWARD .....................3780MODELSe Un Park, Dennis Wei, University of Michigan, Ann Arbor, United States; Marc De Graef, Carnegie Mellon University, United States; Megna Shah, Jeff Simmons, Air Force Research Laboratory, United States; Alfred Hero, University of Michigan, Ann Arbor, United States

TP-PE.9: ROTATION-INVARIANT TEXTURE RECOGNITION BY ROTATION ...........................3785COMPENSATION AND WAVELET ANALYSISHuiguang Yang, Narendra Ahuja, University of Illinois at Urbana-Champaign, United States

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TP-PE.10: MEAN-SHIFT CLUSTERING FOR INTERACTIVE MULTISPECTRAL IMAGE .........3790ANALYSISJohannes Jordan, Elli Angelopoulou, University of Erlangen-Nuremberg, Germany

TP-PE.11: DSET++: A ROBUST CLUSTERING ALGORITHM .............................................................3795Jian Hou, Xu E, Lei Chi, Bohai University, China; Qi Xia, Nai-Ming Qi, Harbin Institute of Technology, China

TP-PE.12: INTEGRATING IMAGE SEGMENTATION AND ANNOTATION USING ......................3800SUPERVISED PLSAQiao-Jin Guo, Ning Li, Yu-Bin Yang, Gang-Shan Wu, Nanjing University, China

TP-PE.13: LEARNING WEIGHTED GEOMETRIC POOLING FOR IMAGE ....................................3805CLASSIFICATIONChaoqun Weng, Hongxing Wang, Junsong Yuan, Nanyang Technological University, Singapore

TP-PE.14: CENTROID-BASED TEXTURE CLASSIFICATION USING THE SIRV ..........................3810REPRESENTATIONAurélien Schutz, Lionel Bombrun, Yannick Berthoumieu, Université de Bordeaux, France

TP-PF: MOTION ESTIMATION, CHANGE DETECTION AND TRACKING

TP-PF.1: SPATIAL CONSTRAINT HOPFIELD-TYPE NEURAL NETWORKS FOR .......................3815DETECTING CHANGES IN REMOTELY SENSED MULTITEMPORAL IMAGESBadri Narayan Subudhi, Indian Statistical Institute, India; Susmita Ghosh, Jadavpur University, India; Ashish Ghosh, Indian Statistical Institute, India

TP-PF.2: FALSE DISCOVERY RATE APPROACH TO IMAGE CHANGE DETECTION ................3820Vladimir Krylov, University College London, United Kingdom; Gabriele Moser, Sebastiano Serpico, University of Genoa, Italy; Josiane Zerubia, INRIA, France

TP-PF.3: ADAPTIVE VIDEO STABILISATION WITH DOMINANT MOTION LAYER .................3825ESTIMATION FOR HOME VIDEO AND TV BROADCASTFelix Raimbault, Trinity College Dublin, Ireland; Yalcin Incesu, Sony Deutschland GmbH, Germany

TP-PF.4: BINOCULAR ESTIMATION OF MOTION: A LEAST-SQUARE SOLUTION ..................3830USING NORMAL FLOWSTak-Wai Hui, Ronald Chung, The Chinese University of Hong Kong, Hong Kong SAR of China

TP-PF.5: SUPERPIXEL-BASED LARGE DISPLACEMENT OPTICAL FLOW ..................................3835Haw-Shiuan Chang, Yu-Chiang Frank Wang, Academia Sinica, Taiwan

TP-PF.6: MULTI-SCALE OBSERVATION MODELS FOR MOTION ESTIMATION .......................3840Pascal Zille, Ecole Centrale Lyon, France; Thomas Corpetti, Liang Shao, CNRS, France

TP-PF.7: JOINT TRILATERAL FILTERING FOR MULTIFRAME OPTICAL FLOW .....................3845Michael Stoll, Sebastian Volz, Andrés Bruhn, University of Stuttgart, Germany

TP-PF.8: LOCAL/GLOBAL SCENE FLOW ESTIMATION ....................................................................3850Julian Quiroga, Frederic Devernay, James Crowley, INRIA, France

TP-PF.9: STATISTICAL SEPARABILITY OF LOCAL MOTIONS IN VOLUMETRIC ...................3855IMAGESMarjan Hadian Jazi, Alireza Bab-Hadiashar, Reza Hoseinnezhad, RMIT University, Australia

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TP-PF.10: DENSE MOTION ESTIMATION BETWEEN DISTANT FRAMES: ..................................3860COMBINATORIAL MULTI-STEP INTEGRATION AND STATISTICAL SELECTIONPierre-Henri Conze, Tomas Crivelli, Philippe Robert, Technicolor, France; Luce Morin, INSA Rennes, France

TP-PF.11: MODEL-BASED OPTICAL FLOW FOR LARGE DISPLACEMENTS AND ....................3865HOMOGENEOUS REGIONSQiong Nie, University Paris XI, France; Samia Bouchafa, University of Evry Val d’Essonne, France; Alain Merigot, University Paris XI, France

TP-PF.12: A NOVEL METHOD FOR OBJECT TRACKING AND SEGMENTATION .....................3870USING ONLINE HOUGH FORESTS AND CONVEX RELAXATIONZhengjian Kang, Edward Wong, Polytechnic Institute of New York University, United States

TP-PF.13: AN ON-LINE VISUAL HUMAN TRACKING ALGORITHM USING ................................3875SURF-BASED DYNAMIC OBJECT MODELMeenakshi Gupta, Indian Institute of Technology Kanpur, India; Sourav Garg, Swagat Kumar, Tata Consultancy Services, India; Laxmidhar Behera, Indian Institute of Technology Kanpur, India

TP-PG: OBJECT DETECTION & TRACKING

TP-PG.2: MULTI-OBJECT TRACKING USING HYBRID OBSERVATION IN PHD .......................3890FILTERJu Hong Yoon, Kuk-Jin Yoon, Gwangju Institute of Science and Technology, Republic of Korea; Du Yong Kim, University of Western Australia, Australia

TP-PG.3: MAXIMALLY STABLE CURVATURE REGIONS FOR 3D HAND TRACKING ..............3895Can Wang, Hong Liu, Xing Liu, Peking University, China

TP-PG.4: TASK-RELEVANT OBJECT DETECTION AND TRACKING .............................................3900Yuncheng Li, Jiebo Luo, University of Rochester, United States

TP-PG.5: FAST OBJECT TRACKING USING COLOR HISTOGRAMS AND PATCH ....................3905DIFFERENCESDae-Youn Lee, Korea University, Republic of Korea; Jae-Young Sim, Ulsan National Institute of Science and Technology, Republic of Korea; Chang-Su Kim, Korea University, Republic of Korea

TP-PG.6: ONLINE STRUCTURE LEARNING FOR ROBUST OBJECT TRACKING .......................3909Liwei Liu, Tsinghua University, China; Junliang Xing, Institute of Automation, Chinese Academy of Sciences, China; Haizhou Ai, Tsinghua University, China

TP-PG.7: A NOVEL INCREMENTAL WEIGHTED PCA ALGORITHM FOR VISUAL ..................3914TRACKINGKailing Guo, Xiangmin Xu, Fuhao Qiu, Jiayong Chen, South China University of Technology, China

TP-PG.8: REAL-TIME ROBUST TRACKING VIA SPARSE REPRESENTATION: A ......................3919MODE-SEEKING APPROACHVenkatesh Babu Radhakrishnan, Indian Institute of Science, India

TP-PG.9: A PERFORMANCE EVALUATION OF FUSION TECHNIQUES FOR ..............................3924SPATIO-TEMPORAL SALIENCY DETECTION IN DYNAMIC SCENESSatya Mahesh Muddamsetty, Dro-Desiré Sidibé, Université de Bourgogne, France; Alain Trémeau, Université Jean Monnet, France; Fabrice Mériaudeau, Université de Bourgogne, France

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TP-PG.10: SIMPLE MONOCULAR DOOR DETECTION AND TRACKING ......................................3929Rafiq Sekkal, François Pasteau, Marie Babel, Baptiste Brun, Ivan Leplumey, Institut de Recherche en Informatique et Systèmes Aléatoires, France

TP-PG.11: REAL-TIME VISUAL TRACKING USING L2 NORM REGULARIZATION ..................3934BASED COLLABORATIVE REPRESENTATIONXiusheng Lu, Hongxun Yao, Xin Sun, Xuesong Jiang, Harbin Institute of Technology, China

TP-PG.12: SEGTRACK: A NOVEL TRACKING SYSTEM WITH IMPROVED OBJECT ...............3939SEGMENTATIONRaed Almomani, Ming Dong, Wayne State University, United States

TP-PG.13: AN ACTIVE CONTOUR TRACKING METHOD BY MATCHING ...................................3944FOREGROUND AND BACKGROUND SIMULTANEOUSLYJifeng Ning, Wei Yu, Shuqin Yang, Northwest A&F University, China

TP-PG.14: MULTI-VIEW FACE DETECTION IN VIDEOS WITH ONLINE ADAPTATION...........3949Yao-Chuan Chang, Yen-Yu Lin, Hong-Yuan Mark Liao, Academia Sinica, Taiwan

TP-PH: MULTIMEDIA ANALYSIS AND RETRIEVAL I

TP-PH.1: EVALUATION OF VISUAL OBJECT RETRIEVAL DATASETS.........................................3954Cai-Zhi Zhu, Shin’ichi Satoh, National Institute of Informatics, Japan

TP-PH.2: ISOMORPHIC AND SPARSE MULTIMODAL DATA REPRESENTATION BASED ......3959ON CORRELATION ANALYSISHong Zhang, Li Chen, Wuhan University of Science and Technology, China

TP-PH.3: THE DYNAMIC VIDEOBOOK: A HIERARCHICAL SUMMARIZATION FOR .............3963SURVEILLANCE VIDEOLei Sun, Haizhou Ai, Tsinghua University, China; Shihong Lao, OMRON Company, Japan

TP-PH.4: ADVANCED TREE SPECIES IDENTIFICATION USING MULTIPLE LEAF ..................3967PARTS IMAGE QUERIESOlfa Mzoughi, INRIA France / SIIVA/RIADI Tunisia, France; Itheri Yahiaoui, Nozha Boujemaa, INRIA, France; Ezzeddine Zagrouba, SIIVA/RIADI Tunisia, Tunisia

TP-PH.5: EFFICIENT INSTANCE SEARCH FROM LARGE VIDEO DATABASE VIA ..................3972SPARSE FILTERS IN SUBSPACESYan Yang, ITEE, University of Queensland; NICTA, Australia; Shin’ichi Satoh, National Institute of Informatics, Japan

TP-PH.6: AN ADAPTIVE-WEIGHT HYBRID RELEVANCE FEEDBACK APPROACH FOR ........3977CONTENT BASED IMAGE RETRIEVALYi Zhang, Wenbo Li, Zhipeng Mo, Tianhao Zhao, Jiawan Zhang, Tianjin University, China

TP-PH.7: ACTION RECOGNITION BASED ON SPARSE MOTION TRAJECTORIES ....................3982Iveel Jargalsaikhan, Suzanne Little, Cem Direkoglu, Noel E. O’Connor, Dublin City University, Ireland

TP-PH.8: CROSS-MEDIA RETRIEVAL BY CLUSTER-BASED CORRELATION ............................3986ANALYSISDing Ma, Xiaohua Zhai, Yuxin Peng, Peking University, China

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TP-PH.9: ENHANCING VIDEO CONCEPT DETECTION WITH THE USE OF ................................3991TOMOGRAPHSPanagiotis Sidiropoulos, Vasileios Mezaris, Ioannis Kompatsiaris, Centre for Research and Technology Hellas, Greece

TP-PH.10: EMPLOYING PLSA MODEL AND MAX-BISECTION FOR REFINING IMAGE ..........3996ANNOTATIONDongping Tian, Wenbo Zhang, Xiaofei Zhao, Zhongzhi Shi, Institute of Computing Technology, Chinese Academy of Sciences, China

TP-PH.11: MID-LEVEL FEATURE SET FOR SPECIFIC EVENT AND ANOMALY ........................4001DETECTION IN CROWDED SCENESFernando de la Calle Silos, Iván González Díaz, Fernando Díaz-de-María, Universidad Carlos III de Madrid, Spain

TP-PH.12: CONTENT-BASED IMAGE RETRIEVAL WITH ORDERED DITHER BLOCK ...........4006TRUNCATION CODING FEATURESJing-Ming Guo, Heri Prasetyo, National Taiwan University of Science and Technology, Taiwan

TP-PH.13: OPTIMIZED HYBRID SHAPE DESCRIPTOR-BASED 3D OJBECT ................................4010RETRIEVALSang Min Yoon, Kookmin University, Republic of Korea; Gang-Joon Yoon, Electronics and Telecommunications Research Institute, Republic of Korea

TP-PH.14: NEW LOCAL EDGE BINARY PATTERNS FOR IMAGE RETRIEVAL ...........................4014Junding Sun, Henan Polytechnic University; Oklahoma State University, China; Guoliang Fan, Oklahoma State University, United States; Xiaosheng Wu, Henan Polytechnic University, China

WA-L1: PERCEPTUAL ASSESSMENT, MODELLING AND PROCESSING

WA-L1.1: RADIOMETRIC COMPENSATION FOR PROCAM SYSTEM BASED ON .......................103ANCHORING THEORYTing-Chun Wang, Tai-Hsiang Huang, Homer Chen, National Taiwan University, Taiwan

WA-L1.2: A COLOR TRANSFORMATION METHOD BASED ON COLOR THEME THAT ...........108TAKES CONSTRAINTS ON COLOR RATIO AND SPATIAL COHERENCE INTO CONSIDERATIONYuki Nagai, Yusuke Uchida, Emi Myodo, Shigeyuki Sakazawa, KDDI R&D Laboratories, Inc, Japan

WA-L1.3: STEREO IMAGE QUALITY ASSESSMENT USING A BINOCULAR JUST ......................113NOTICEABLE DIFFERENCE MODELWalid Hachicha, Azeddine Beghdadi, University of Paris 13, France; Faouzi Alaya Cheikh, Gjøvik University College, Norway

WA-L1.5: LEARNING TO DETECT CONTOURS IN NATURAL IMAGES VIA .................................123BIOLOGICALLY MOTIVATED SCHEMESQiling Tang, South Central University for Nationalities, China; Nong Sang, HuaZhong University of Science and Technology, China; Haihua Liu, South Central University for Nationalities, China

WA-L1.6: THE VISUAL PERCEPTION SENSITIVITY FOR ACHROMATIC NOISE AND ..............127CHROMATIC NOISEMakoto Shohara, Kazunori Kotani, Japan Advanced Institute of Science and Technology, Japan

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WA-L1.7: SUBJECTIVE STUDY OF BINOCULAR RIVALRY IN STEREOSCOPIC .........................132IMAGES WITH TRANSMISSION AND COMPRESSION ARTIFACTSYin Zhao, Yichen Zhang, Lu Yu, Zhejiang University, China

WA-L2: RESTORATION AND RECONSTRUCTION

WA-L2.1: EFFICIENT IMAGE COMPLETION METHOD BASED ON ALTERNATING .................700DIRECTION THEORYWei Li, Lei Zhao, Duanqing Xu, Dongming Lu, Zhejiang University, China

WA-L2.2: KCFA-BASED MISSING AREA RESTORATION INCLUDING NEW PRIORITY ...........704ESTIMATIONTakahiro Ogawa, Miki Haseyama, Hokkaido University, Japan

WA-L2.3: HUMAN MOTION CAPTURE DATA RECOVERY VIA TRAJECTORY-BASED .............709SPARSE REPRESENTATIONJunhui Hou, Lap-Pui Chau, Ying He, Jie Chen, Nadia Magnenat-Thalmann, Nanyang Technological University, Singapore

WA-L2.4: FAST SINGLE IMAGE FOG REMOVAL USING THE ADAPTIVE WIENER ...................714FILTERKristofor Gibson, Truong Q. Nguyen, University of California, San Diego, United States

WA-L2.5: PRIOR AND MACRO-FILLING ORDER FOR IMAGE COMPLETION .............................719Raul Martinez-Noriega, Aline Roumy, INRIA, France

WA-L2.6: KINECT DEPTH RESTORATION VIA ENERGY MINIMIZATION WITH TV21 ............724REGULARIZATIONShaoguo Liu, Ying Wang, CASIA, China; Jue Wang, Adobe, United States; Haibo Wang, Shandong University, China; Jixia Zhang, Chunhong Pan, CASIA, China

WA-L2.7: EXAMPLE BASED DEPTH FROM FOG ...................................................................................728Kristofor Gibson, Serge Belongie, Truong Q. Nguyen, University of California, San Diego, United States

WA-L3: REGISTRATION AND CLASSIFICATION IN BIOMEDICAL IMAGING

WA-L3.1: CLASSIFICATION OF HUMAN EPITHELIAL TYPE 2 CELL IMAGES USING .............733INDEPENDENT COMPONENT ANALYSISYan Yang, ITEE, University of Queensland; NICTA, Australia; Arnold Wiliem, ITEE, University of Queensland, Australia; Azadeh Alavi, ITEE, University of Queensland; NICTA, Australia; Peter Hobson, Sullivan Nicolaides Pathology, Australia

WA-L3.2: DIAGNOSTICALLY LOSSLESS COMPRESSION OF X-RAY ANGIOGRAPHY .............738IMAGES BASED ON AUTOMATIC SEGMENTATION USING RAY-CASTING AND Α-SHAPESZhongwei Xu, Joan Bartrina-Rapesta, Universitat Autònoma de Barcelona, Spain; Victor Sanchez, University of Warwick, United Kingdom; Joan Serra-Sagristà, Juan Muñoz-Gómez, Universitat Autònoma de Barcelona, Spain

WA-L3.3: COMBINING A BOTTOM UP AND TOP DOWN CLASSIFIERS FOR THE ......................743SEGMENTATION OF THE LEFT VENTRICLE FROM CARDIAC IMAGERYJacinto Nascimento, ISR-IST, Portugal; Gustavo Carneiro, The University of Adelaide, Portugal

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WA-L3.4: NONRIGID IMAGE REGISTRATION WITH TWO-SIDED SPACE-FRACTIONAL .......747PARTIAL DIFFERENTIAL EQUATIONSClarissa Garvey, Nathan Cahill, Rochester Institute of Technology, United States; Andrew Melbourne, Christine Tanner, Sebastien Ourselin, David Hawkes, University College London, United Kingdom

WA-L3.5: SUPER-RESOLUTION IN CARDIAC PET USING MASS-PRESERVING IMAGE ...........752REGISTRATIONHua Yan, Shandong University of Finance and Economics, China; Fabian Gigengack, Xiaoyi Jiang, Klaus Schäfers, University of Münster, Germany

WA-L3.6: ADAPTIVE MESH GENERATION FOR IMAGE REGISTRATION AND ..........................757SEGMENTATIONMads Ockert Fogtmann, Rasmus Larsen, Technical University of Denmark, Denmark

WA-L3.7: CT SLICE RETRIEVAL BY SHAPE ELLIPSES DESCRIPTORS FOR SKULL ................761REPAIRINGMarcelo Rudek, Osiris Canciglieri Jr., Pontifical Catholic University of Parana - PUCPR, Brazil; Andreas Jahnen, Public Research Centre Henri Tudor, Luxembourg; Gerson Linck Bichinho, Pontifical Catholic University of Parana - PUCPR, Brazil

WA-L4: LOSSLESS AND PREDICTIVE CODING

WA-L4.1: EFFICIENT MACROBLOCK ORDERING FOR CHROMINANCE PLANES IN ............1627RICH COLOR IMAGE COMPRESSIONDae-Young Hyun, Seoul National University, Democratic People’s Republic of Korea; Jun-Hee Heu, Samsung SDS, Democratic People’s Republic of Korea; Chang-Su Kim, Korea University, Democratic People’s Republic of Korea; Sang-Uk Lee, Seoul National University, Democratic People’s Republic of Korea

WA-L4.2: REVERSIBLE DCT-BASED LOSSY-TO-LOSSLESS STILL IMAGE ................................1631COMPRESSIONHeng Chen, Geert Braeckman, Adrian Munteanu, Peter Schelkens, Vrije Universiteit Brussel, Belgium

WA-L4.3: LOCAL PREDICTION BASED ADAPTIVE SCANNING FOR JPEG AND .......................1636H.264/AVC INTRA CODINGHsin-Hui Chen, Ying-Wun Huang, Jian-Jiun Ding, National Taiwan University, Taiwan

WA-L4.4: INTRA PREDICTION BASED ON MARKOV PROCESS MODELING OF ......................1641IMAGESFatih Kamisli, Middle East Technical University, Turkey

WA-L4.5: INTERPOLATIVE INTRA PREDICTION BY ADAPTING PROCESSING ......................1646ORDER IN BLOCK-BASED IMAGE CODINGIchiro Matsuda, Yosuke Ohtake, Shinta Mochizuki, Hironobu Fukai, Susumu Itoh, Tokyo University of Science, Japan

WA-L4.6: THREE DIMENSIONAL DISCRETE WAVELET TRANSFORM WITH ..........................1651DEDUCED NUMBER OF LIFTING STEPSMasahiro Iwahashi, Teerapong Orachon, Nagaoka University of Technology, Japan; Hitoshi Kiya, Tokyo Metropolitan University, Japan

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WA-L4.7: INTRA PREDICTIVE TRANSFORM CODING BASED ON PREDICTIVE ......................1655GRAPH TRANSFORMYongzhe Wang, Antonio Ortega, University of Southern California, United States; Gene Cheung, National Institute of Informatics, Japan

WA-L5: VIDEO SURVEILLANCE AND HUMAN DETECTION/TRACKING

WA-L5.1: ACTION RECOGNITION USING SALIENT NEIGHBORING HISTOGRAMS ................2807Huamin Ren, Thomas B. Moeslund, Visual Analysis of People Lab, Aalborg University, Denmark, Denmark

WA-L5.2: CAN FEATURE-BASED INDUCTIVE TRANSFER LEARNING HELP PERSON ...........2812RE-IDENTIFICATION?Yang Wu, Wei Li, Michihiko Minoh, Masayuki Mukunoki, Kyoto University, Japan

WA-L5.3: RECOGNIZING AND TRACKING CLASPING AND OCCLUDED HANDS .....................2817John Zhang, John Kender, Columbia University, United States

WA-L5.4: A NEW EDGE FEATURE FOR HEAD-SHOULDER DETECTION .....................................2822Shu Wang, Jian Zhang, University of Technology, Sydney, Australia; Zhenjiang Miao, Beijing Jiaotong University, China

WA-L5.6: LEARNING SILHOUETTE DYNAMICS FOR HUMAN ACTION ......................................2832RECOGNITIONGuan Luo, Weiming Hu, Institute of Automation, Chinese Academy of Sciences, China

WA-L5.7: MOTION PATTERN ANALYSIS IN CROWDED SCENES BASED ON HYBRID ...........2837GENERATIVE-DISCRIMINATIVE FEATURE MAPSChongjing Wang, Xu Zhao, Zhe Wu, Yuncai Liu, Shanghai Jiao Tong University, China

WA-L6: OBJECT RECOGNITION AND CLASSIFICATION III

WA-L6.1: MULTI-TASK LINEAR DISCRIMINANT ANALYSIS FOR MULTI-VIEW .....................2842ACTION RECOGNITIONYan Yan, Gaowen Liu, University of Trento, Italy; Elisa Ricci, University of Perugia, Italy; Nicu Sebe, University of Trento, Italy

WA-L6.3: PROJECTION-OPTIMAL TENSOR LOCAL FISHER DISCRIMINANT .........................2852ANALYSIS FOR IMAGE FEATURE EXTRACTIONZhan Wang, Qiuqi Ruan, Zhenjiang Miao, Beijing Jiaotong University, China

WA-L6.4: WHAT PARTS OF A SHAPE ARE DISCRIMINATIVE? ......................................................2857Vittal Premachandran, Ramakrishna Kakarala, Nanyang Technological University, Singapore

WA-L6.5: A SHAPE DESCRIPTOR BASED ON NEW PROJECTIVE INVARIANTS ........................2862Zhongxuan Luo, Daiyun Luo, Xin Fan, Xinchen Zhou, Qi Jia, Dalian University of Technology, China

WA-L6.6: BAG-OF-FEATURES REPRESENTATIONS USING SPATIAL VISUAL ..........................2867VOCABULARIES FOR OBJECT CLASSIFICATIONRene Grzeszick, Leonard Rothacker, Gernot A. Fink, TU Dortmund, Germany

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WA-L7: MULTIMEDIA CLASSIFICATION AND RETRIEVAL II

WA-L7.1: LARGE-SCALE VIDEO EVENT CLASSIFICATION USING DYNAMIC .........................2877TEMPORAL PYRAMID MATCHING OF VISUAL SEMANTICSNoel Codella, IBM T.J. Watson Research Center, United States; Gang Hua, Stevens Institute of Technology, United States; Liangliang Cao, Michele Merler, Leiguang Gong, Matthew Hill, John Smith, IBM T.J. Watson Research Center, United States

WA-L7.2: PARAMETRIC MODELING OF THE FRACTIONAL FOURIER TRANSFORM ...........2882COEFFICIENTS FOR COMPLEX-VALUED SAR IMAGE CATEGORIZATIONJagmal Singh, Mihai Datcu, German Aerospace Center (DLR), Germany

WA-L7.3: EFFICIENT AND ACCURATE INDEPENDENT COMPONENT FILTER-BASED .........2887FEATURES FOR TEXURE SIMILARITYNabeel Mohammed, David Squire, Monash University, Australia

WA-L7.4: WE LIKE IT! MAPPING IMAGE PREFERENCES ON THE COUNTING GRID .............2892Pietro Lovato, University of Verona, Italy; Alessandro Perina, Microsoft Research, United States; Dong Seon Cheng, Hankuk University of Foreign Studies, Republic of Korea; Cristina Segalin, University of Verona, Italy; Nicu Sebe, University of Trento, Italy; Marco Cristani, University of Verona, Italy

WA-L7.5: MULTI-TASK DEEP NEURAL NETWORK FOR MULTI-LABEL LEARNING ..............2897Yan Huang, Wei Wang, Liang Wang, Tieniu Tan, Institute of Automation, Chinese Academy of Sciences, China

WA-L7.6: MULTI-CRITERIA SEARCH ALGORITHM: AN EFFICIENT APPROXIMATE ...........2901K-NN ALGORITHM FOR IMAGE RETRIEVALMehdi Badr, Dan Vodislav, University of Cergy-Pontoise, France; David Picard, Ecole Nationale Supérieure de l’Electronique et de ses Applications, France; Shaoyi Yin, University of Cergy-Pontoise, France; Philippe-Henri Gosselin, TexMex Team, France

WA-L7.7: LEARNING CONTEXT SENSITIVE SIMILARITY MEASURE ON PAIR .......................2906FUSION GRAPHCheng Wang, Le He, Yingying Zhu, Wenyu Liu, HuaZhong University of Science and Technology, China

WA-S: PROGRESS IN IMPLANTABLE PROSTHETIC VISION AND THE ROLE OF VISION PROCESSING

WA-S.1: AN OVERVIEW OF VISION PROCESSING IN IMPLANTABLE PROSTHETIC .............1532VISIONNick Barnes, NICTA, Australia

WA-S.2: INTRODUCING THE MONASH VISION GROUP’S CORTICAL PROSTHESIS ...............1536Arthur Lowery, Monash University, Australia

WA-S.3: IMAGE PROCESSING FOR VISUAL PROSTHESES: A CLINICAL ...................................1540PERSPECTIVELauren Ayton, Chi Luu, Centre for Eye Research Australia, University of Melbourne, Royal Victorian Eye and Ear Hospital, Australia; Sharon Bentley, Deakin University, Centre for Eye Research Australia, Australia; Penelope Allen, Robyn Guymer, Centre for Eye Research Australia, University of Melbourne, Royal Victorian Eye and Ear Hospital, Australia

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WA-S.4: WHAT LIMITS SPATIAL PERCEPTION WITH RETINAL IMPLANTS? ..........................1545Hamish Meffin, National ICT Australia, Australia

WA-S.5: PSYCHOPHYSICS TESTING OF BIONIC VISION IMAGE PROCESSING .......................1550ALGORITHMS USING AN FPGA HATPACKHorace Josh, Collette Mann, Lindsay Kleeman, Wen Lik Lui, Monash Vision Group and Monash University, Australia

WA-S.6: GOING BEYOND VISION TO IMPROVE BIONIC VISION ...................................................1555Wai Ho Li, Titus Jia Jie Tang, Wen Lik Dennis Lui, Monash Vision Group, Australia

WA-PA: FILTERING, REGRESSION AND PDES II

WA-PA.1: DISCRIMINATIVE FILTER BASED REGRESSION LEARNING FOR FACIAL ...........1192EXPRESSION RECOGNITIONZizhao Zhang, Yan Yan, Hanzi Wang, Xiamen University, China

WA-PA.2: DETECTION AND REMOVAL OF RANDOM-VALUED IMPULSE NOISE ...................1197FROM IMAGES USING SPARSE REPRESENTATIONSPedamalli Saikrishna, Indian Institute of Science, India; P.K. Bora, Indian Institute of Technology Guwahati, India

WA-PA.3: DETECTING STRUCTURED LIGHT PATTERNS IN COLOUR IMAGES .....................1202USING A SUPPORT VECTOR MACHINETom Botterill, Richard Green, University of Canterbury, New Zealand; Steven Mills, University of Otago, New Zealand

WA-PA.4: A NOVEL GUIDED IMAGE FILTER USING ORTHOGONAL GEODESIC ...................1207DISTANCE WEIGHTQingqing Yang, Dongxiao Li, Lianghao Wang, Ming Zhang, Zhejiang University, China

WA-PA.5: FAST IMPULSIVE NOISE REMOVAL IN COLOR IMAGES .............................................1212Bogdan Smolka, Silesian University of Technology, Poland

WA-PA.6: ACCURACY IMPROVEMENT OF HISTOGRAM-BASED IMAGE FILTERING ...........1217Masaki Igarashi, Akira Mizuno, Masayuki Ikebe, Hokkaido University, Japan

WA-PA.7: BILATERAL FILTER: GRAPH SPECTRAL INTERPRETATION AND ..........................1222EXTENSIONSAkshay Gadde, Sunil K. Narang, Antonio Ortega, University of Southern California, United States

WA-PA.8: SALIENT LEVEL LINES SELECTION USING THE MUMFORD-SHAH ........................1227FUNCTIONALYongchao Xu, EPITA Research and Development Laboratory/Laboratoire d’Informatique Gaspard-Monge, France; Thierry Géraud, EPITA Research and Development Laboratory, France; Laurent Najman, Laboratoire d’Informatique Gaspard-Monge/ESIEE Paris, France

WA-PA.9: A MICROCALCIFICATION ENHANCEMENT METHOD FOR MAMMOGRAM ........1232IMAGESPeter Tay, Hongda Shen, Robert Adams, James Zhang, Western Carolina University, United States

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WA-PA.10: THIN STRUCTURE FILTERING FRAMEWORK WITH NON-LOCAL ........................1237MEANS, GAUSSIAN DERIVATIVES AND SPATIALLY-VARIANT MATHEMATICAL MORPHOLOGYTuan-Anh Nguyen, Université Paris-Est, France; Alice Dufour, Université de Strasbourg, France; Olena Tankyevych, Amir Nakib, Eric Petit, Hugues Talbot, Université Paris-Est, France; Nicolas Passat, Université de Reims, France

WA-PA.11: A HYBRID ACTIVE CONTOUR MODEL WITH STRUCTURE FEATURE ..................1242FOR IMAGE SEGMENTATIONQi Ge, Nanjing University of Posts and Telecommunications, China; Liang Xiao, Li Qian Wang, Zheng Rong Zhang, Zhi Hui Wei, Nanjing University of Science and Technology, China

WA-PA.12: DEPTH ESTIMATION AND DEPTH ENHANCEMENT BY DIFFUSION OF ...............1247DEPTH FEATURESNikolce Stefanoski, Can Bal, Disney Research Zurich, Switzerland; Manuel Lang, Disney Research Zurich / ETH Zürich, Switzerland; Oliver Wang, Aljosa Smolic, Disney Research Zurich, Switzerland

WA-PA.13: STABLE DENOISING-ENHANCEMENT OF IMAGES BY ..............................................1252TELEGRAPH-DIFFUSION OPERATORSVadim Ratner, Yehoshua Y. Zeevi, Technion - Israel Institute of Technology, Israel

WA-PA.14: A COMBINED ACTIVE CONTOURS METHOD FOR SEGMENTATION ....................1257USING LOCALIZATION AND MULTIRESOLUTIONEva M. Yanez, Carlos Cuevas, Narciso García, Universidad Politécnica de Madrid, Spain

WA-PB: REGISTRATION, FUSION AND MOSAICING

WA-PB.1: IMAGE FUSION BASED ON A SPARSE LINEAR SYSTEM ...............................................1262Qiwei Xie, Qian Long, Seiichi Mita, Zheng Liu, Toyota Technological Institute, Japan; Xi Chen, Institute of Automation, Chinese Academy of Sciences, China

WA-PB.2: AFFINE SOFTASSIGN WITH BIDIRECTIONAL DISTANCE FOR POINT ....................1267MATCHINGPengpeng Zhang, Shanghai Jiao Tong University, China; Shengzheng Wang, Shanghai Maritime University, China; Yu Qiao, Jie Yang, Yonghui Gao, Shanghai Jiao Tong University, China

WA-PB.3: EXTENDED DEPTH-OF-FIELD VIA FOCUS STACKING AND GRAPH CUTS .............1272Chao Zhang, Beijing Institute of Technology, China; John Bastian, Chunhua Shen, Anton van den Hengel, The University of Adelaide, Australia; Tingzhi Shen, Beijing Institute of Technology, China

WA-PB.4: SCALABLE VIDEO FUSION .....................................................................................................1277Paul Hill, Alin Achim, The University of Bristol, United Kingdom; David Bull, University of Bristol, United Kingdom

WA-PB.5: FOURIER BASED REGISTRATION OF DIFFERENTIALLY SCALED IMAGES ..........1282Ruben Gonzalez, Griffith University, Australia

WA-PB.6: AN EFFECTIVE HISTOGRAM BINNING FOR MUTUAL INFORMATION ..................1286BASED REGISTRATION OF OPTICAL IMAGERY AND 3D LIDAR DATAEbadat Ghanbari Parmehr, Clive S. Fraser, Chunsun Zhang, Cooperative Research Centre for Spatial Information, Australia; Joseph Leach, University of Melbourne, Australia

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WA-PB.7: FAST MOSAICING OF CYSTOSCOPIC IMAGES FROM DENSE ...................................1291CORRESPONDENCE: COMBINED SURF AND TV-L1 OPTICAL FLOW METHODSharib Ali, Christian Daul, Thomas Weibel, Walter Blondel, Université de Lorraine, France

WA-PB.8: PANORAMIC IMAGE GENERATION WITH LENS DISTORTIONS ................................1296Myung-Ho Ju, Hang-Bong Kang, Catholic University of Korea, Republic of Korea

WA-PB.9: MULTIMODAL IMAGE FUSION VIA SPARSE REPRESENTATION WITH .................1301LOCAL PATCH DICTIONARIESMinjae Kim, Korea University, Republic of Korea; David K. Han, Office of Naval Research, United States; Hanseok Ko, Korea University, Republic of Korea

WA-PB.10: A MOBILE SPHERICAL MOSAIC SYSTEM .......................................................................1306Sang Hwa Lee, Seoul National University, Republic of Korea; Ji In Jeon, Hanyang University, Republic of Korea; Sung-Kwon Choo, Nam Ik Cho, Seoul National University, Republic of Korea; Jong-Il Park, Hanyang University, Republic of Korea

WA-PB.11: REAL-TIME SUPER-RESOLUTION FOR DIGITAL ZOOMING USING ......................1311FINITE KERNEL-BASED EDGE ORIENTATION ESTIMATION AND TRUNCATED IMAGE RESTORATIONWonseok Kang, Jaehwan Jeon, Eunsung Lee, Changhun Cho, Chung-Ang University, Republic of Korea; Junghoon Jung, Taechan Kim, Samsung Electronics, Republic of Korea; Aggelos K. Katsaggelos, Northwestern University, United States; Joonki Paik, Chung-Ang University, Republic of Korea

WA-PB.12: TEMPORALLY CONSISTENT SOCCER FIELD REGISTRATION ................................1316Antje Linnemann, Sebastian Gerke, Sven Kriener, Patrick Ndjiki-Nya, Fraunhofer Institute for Telecommunications, Germany

WA-PB.13: AUTOMONTAGE: PHOTO SESSIONS MADE EASY ........................................................1321Nithya Manickam, Sharat Chandran, Indian Institute of Technology Bombay, India

WA-PB.14: ON STOCHASTIC GRADIENT DESCENT AND QUADRATIC MUTUAL ....................1326INFORMATION FOR IMAGE REGISTRATIONAbhishek Singh, Narendra Ahuja, University of Illinois at Urbana-Champaign, United States

WA-PC: VIDEO CODING

WA-PC.1: CODING VIDEO SEQUENCES OF VISUAL FEATURES ....................................................1895Luca Baroffio, Matteo Cesana, Alessandro Redondi, Stefano Tubaro, Marco Tagliasacchi, Politecnico di Milano, Italy

WA-PC.2: EFFICIENT WEIGHTED PREDICTION PARAMETER SIGNALING USING ...............1900PARAMETER PREDICTION AND DIRECT DERIVATIONAkiyuki Tanizawa, Takeshi Chujoh, Toshiba Corporation, Japan

WA-PC.3: LOCALLY LINEAR EMBEDDING METHODS FOR INTER IMAGE CODING .............1904Martin Alain, Safa Cherigui, Technicolor, INRIA, France; Christine Guillemot, INRIA, France; Dominique Thoreau, Philippe Guillotel, Technicolor, France

WA-PC.4: MULTIPLE DESCRIPTION VIDEO CODING BASED ON FORWARD ...........................1909ERROR CORRECTION WITHIN EXPANDING WINDOWSChunyu Lin, Yao Zhao, Beijing Jiaotong University, China; Jimin Xiao, Tammam Tillo, Xian Jiaotong-Liverpool University, China

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WA-PC.5: PERCEPTUAL MULTIVIEW VIDEO CODING BASED ON FOVEATED JUST ............1914NOTICEABLE DISTORTION PROFILE IN DCT DOMAINXiwu Shang, Yongfang Wang, Lidong Luo, Zhaoyang Zhang, Shanghai University, China

WA-PC.6: ADPATIVE DENSE VECTOR FIELD INTERPOLATION FOR TEMPORAL .................1918FILTERINGMarko Esche, Michael Tok, Thomas Sikora, Technische Universität Berlin, Germany

WA-PC.7: A DYNAMIC MODEL BUFFER FOR PARAMETRIC MOTION VECTOR .....................1923PREDICTION IN RANDOM-ACCESS CODING SCENARIOSMichael Tok, Marko Esche, Thomas Sikora, Technische Universität Berlin, Germany

WA-PC.8: A NOVEL MULTIPLE DESCRIPTION VIDEO CODING BASED ON DATA .................1928REUSEMeng Dong, Canhui Cai, Huaqiao University, China; Kai-Kuang Ma, Nanyang Technological University, Singapore

WA-PC.9: SELECTIVE DATA PRUNING BASED DISTRIBUTED VIDEO CODING ......................1933WITH MODIFIED HIGH-ORDER EDGE-DIRECTED INTERPOLATIONHa Vu Le, Kazuma Shinoda, Madoka Hasegawa, Shigeo Kato, Utsunomiya University, Japan; Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan

WA-PC.10: ROBUST DENSE BLOCK-BASED MOTION ESTIMATION USING A 2-BIT ...............1938TRANSFORM ON A LAPLACIAN PYRAMIDRui Xu, David Taubman, The University of New South Wales, Australia

WA-PC.11: ARBITRARY-SIZED MOTION DETECTION IN SCREEN VIDEO CODING ................1943Tao Zhang, Harbin Institute of Technology, China; Xun Guo, Yan Lu, Shipeng Li, Microsoft Research Asia, China; Siwei Ma, Peking University, China; Debin Zhao, Harbin Institute of Technology, China

WA-PC.12: FILTER OPTIMIZATION AND COMPLEXITY REDUCTION FOR VIDEO ................1948CODING USING GRAPH-BASED TRANSFORMSEduardo Martínez-Enríquez, Fernando Díaz-de-María, Jesús Cid-Sueiro, Universidad Carlos III de Madrid, Spain; Antonio Ortega, University of Southern California, United States

WA-PC.13: CONTEXT-BASED VIDEO CODING .....................................................................................1953Richard Vigars, Andrew Calway, David Bull, University of Bristol, United Kingdom

WA-PC.14: DENSE TRUE MOTION FIELD COMPENSATION FOR VIDEO CODING ...................1958Yi Chin, Chun-Jen Tsai, National Chiao Tung University, Taiwan

WA-PD: ELECTRONIC IMAGING

WA-PD.1: CROSSTALK CORRECTION TECHNIQUE FOR SINGLE SENSOR CAMERA ...........2252PROVIDED WITH BAYER COLOR FILTER ARRAYStefano Andriani, Harald Brendel, ARRI - Arnold & Richter Cine Technik GmbH, Germany

WA-PD.2: TEXT DETECTION IN NATURAL SCENE IMAGES WITH ..............................................2256USER-INTENTIONLiuan Wang, Fujitsu Research & Development Center CO., LTD, China; Yutaka Katsuyama, Fujitsu Laboratories Ltd., Japan; Wei Fan, Yuan He, Jun Sun, Fujitsu Research & Development Center CO., LTD, China; Yoshinobu Hotta, Fujitsu Laboratories Ltd., Japan

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WA-PD.3: CANONICALIZED CENTRAL ABSOLUTE MOMENT FOR EDGE-BASED ..................2260COLOR CONSTANCYXianghua Ying, Lulu Hou, Yongbo Hou, Jing Kong, Hongbin Zha, Peking University, China

WA-PD.4: LEVERAGING SURROUNDING CONTEXT FOR SCENE TEXT .....................................2264DETECTIONYao Li, Chunhua Shen, The University of Adelaide, Australia; Wenjing Jia, University of Technology, Sydney, Australia; Anton van den Hengel, The University of Adelaide, Australia

WA-PD.5: MULTIPLE HISTOGRAM MATCHING .................................................................................2269Dori Shapira, Shai Avidan, Tel-Aviv University, Israel; Yacov Hel-Or, The Interdisciplinary Center, Israel

WA-PD.6: LOCAL COLOR DISTRIBUTION PROJECTION FILTERING USING A .......................2274HOMOGENEOUS COORDINATE SYSTEMKeisuke Iwata, Keiichiro Shirai, Shinshu University, Japan; Masahiro Okuda, University of Kitakyushu, Japan

WA-PD.7: NOVEL PCA-BASED COLOR-TO-GRAY IMAGE CONVERSION....................................2279Ja-Won Seo, Seong Dae Kim, Korea Advanced Institute of Science and Technology, Republic of Korea

WA-PD.8: VISUAL MASKING PHENOMENA WITH HIGH DYNAMIC RANGE ............................2284CONTENTYang Zhang, Dimitris Agrafiotis, University of Bristol, United Kingdom; Matteo Naccari, Marta Mrak, British Broadcasting Corporation, United Kingdom; David Bull, University of Bristol, United Kingdom

WA-PD.9: BEYOND THE KODAK IMAGE SET: A NEW REFERENCE SET OF COLOR .............2289IMAGE SEQUENCESStefano Andriani, Harald Brendel, Tamara Seybold, Joseph Goldstone, ARRI - Arnold & Richter Cine Technik GmbH, Germany

WA-PD.10: DYNAMIC HIERARCHICAL DICTIONARY DESIGN FOR MULTI-PAGE .................2294BINARY DOCUMENT IMAGE COMPRESSIONYandong Guo, Purdue University at West Lafayette, United States; Dejan Depalov, Peter Bauer, Brent Bradburn, Hewlett-Packard Company, United States; Jan P. Allebach, Charles Bouman, Purdue University at West Lafayette, United States

WA-PD.11: DOCUMENT IMAGE BINARIZATION VIA ONE-PASS LOCAL ...................................2299CLASSIFICATIONHaitao Xue, Charles Bouman, Purdue University, United States; Peter Bauer, Dejan Depalov, Brent Bradburn, Hewlett-Packard Company, United States; Jan P. Allebach, Purdue University, United States

WA-PD.12: RESIDUAL INTERPOLATION FOR COLOR IMAGE DEMOSAICKING .....................2304Daisuke Kiku, Yusuke Monno, Masayuki Tanaka, Masatoshi Okutomi, Tokyo Institute of Technology, Japan

WA-PD.13: SELECTIVE LOCAL TONE MAPPING ................................................................................2309Alessandro Artusi, Universitat de Girona, Spain; Ahmet Oguz Akyüz, Middle East Technical University, Turkey; Benjamin Roch, Vienna University of Technology, Austria; Despina Michael, Yiorgos Chrysanthou, University of Cyprus, Cyprus; Alan Chalmers, University of Warwick, United Kingdom

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WA-PE: SEGMENTATION II

WA-PE.1: A GRAPH-CUT APPROACH TO IMAGE SEGMENTATION USING AN AFFINITY ...4019GRAPH BASED ON L0-SPARSE REPRESENTATION OF FEATURESXiaofang Wang, Huibin Li, Charles-Edmond Bichot, Ecole Centrale Lyon, France; Simon Masnou, Université Lyon 1, France; Liming Chen, Ecole Centrale Lyon, France

WA-PE.2: IMAGE SEGMENTATION BY A ROBUST GENERALIZED FUZZY C-MEANS ...........4024ALGORITHMHui Zhang, Q.M. Wu, Thanh Nguyen, University of Windsor, Canada

WA-PE.3: GRAIN-ORIENTED SEGMENTATION OF SCANNING ELECTRON .............................4029MICROSCOPE IMAGESHyun-Gyu Lee, Min-Kook Choi, Sang-Chul Lee, Inha University, Republic of Korea

WA-PE.4: FAST IMAGE SCANNING WITH DEEP MAX-POOLING CONVOLUTIONAL ............4034NEURAL NETWORKSAlessandro Giusti, Dalle Molle Institute for Artificial Intelligence, Switzerland; Dan Claudiu Ciresan, Dalle Molle Institute for Artificial Intelligence Research, Switzerland; Jonathan Masci, Luca M. Gambardella, Juergen Schmidhuber, Dalle Molle Institute for Artificial Intelligence, Switzerland

WA-PE.5: A LEVEL SET METHOD FOR VERY HIGH RESOLUTION AIRBORNE SAR ..............4039IMAGE SEGMENTATIONSiliang Sun, Junping Zhang, Bin Zou, Xiangqian Wu, Harbin Institute of Technology, China

WA-PE.6: A NEW TRAJECTORY CLUSTERING ALGORITHM USING TEMPORAL ..................4044SMOOTHNESS FOR MOTION SEGMENTATIONFeng Shi, Zhong Zhou, Beihang University, China; Jiangjian Xiao, Chinese Academy of Sciences, China; Wei Wu, Beihang University, China

WA-PE.7: FUSION OF IMAGE SEGMENTATION ALGORITHMS USING CONSENSUS .............4049CLUSTERINGMete Ozay, Fatos Tunay Yarman Vural, Middle East Technical University, Turkey; Sanjeev R. Kulkarni, H. Vincent Poor, Princeton University, United States

WA-PE.8: IMAGE FORESTING TRANSFORM WITH GEODESIC STAR CONVEXITY ...............4054FOR INTERACTIVE IMAGE SEGMENTATIONLucy Mansilla, Marcel Jackowski, Paulo Miranda, University of São Paulo, Brazil

WA-PE.9: COMPLEXITY AWARENESS BASED FEATURE ADAPTIVE ..........................................4059CO-SEGMENTATIONFanman Meng, Hongliang Li, University of Electronic Science and Technology of China, China

WA-PE.10: GRAPH-BASED IMAGE SEGMENTATION USING WEIGHTED COLOR ...................4064PATCHXiaofang Wang, Chao Zhu, Charles-Edmond Bichot, Ecole Centrale Lyon, France; Simon Masnou, Université Lyon 1, France

WA-PE.11: WATERSHED MERGE FOREST CLASSIFICATION FOR ELECTRON ......................4069MICROSCOPY IMAGE STACK SEGMENTATIONTing Liu, Mojtaba Seyedhosseini, University of Utah, United States; Mark Ellisman, University of California, San Diego, United States; Tolga Tasdizen, University of Utah, United States

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WA-PE.12: GRAPH BASED SEGMENTATION WITH MINIMAL USER INTERACTION ..............4074Huaizhong Zhang, Ehab Essa, Xianghua Xie, Swansea University, United Kingdom

WA-PE.13: CURVELET TRANSFORM BASED MOVING OBJECT SEGMENTATION ..................4079Manish Khare, Rajneesh Kumar Srivastava, Ashish Khare, University of Allahabad, India; Moongu Jeon, Gwangju Institute of Science and Technology, Republic of Korea

WA-PE.14: FULL-RANGE AFFINITIES FOR GRAPH-BASED SEGMENTATION ...........................4084Xiang Li, Lianghai Jin, Enmin Song, Lei Li, HuaZhong University of Science and Technology, China

WA-PF: APPLICATIONS OF DETECTION AND TRACKING

WA-PF.1: TEMPORAL FILTERING OF LINE SCRATCH DETECTIONS IN DEGRADED ...........4088FILMSAlasdair Newson, Technicolor, France; Andrés Almansa, CNRS LTCI, France; Yann Gousseau, Télécom ParisTech, France; Patrick Pérez, Technicolor, France

WA-PF.2: PAVEMENT CRACK DETECTION BASED ON SALIENCY AND STATISTICAL ........4093FEATURESWei Xu, Zhenmin Tang, Nanjing University of Science and Technology, China; Jun Zhou, Griffith University, Australia; Jundi Ding, Nanjing University of Science and Technology, China

WA-PF.3: BIO-INSPIRED FEATURE EXTRACTION AND ENHANCEMENT OF ...........................4098TARGETS MOVING AGAINST VISUAL CLUTTER DURING CLOSED LOOP PURSUITKerry J. Halupka, Steven D. Wiederman, Benjamin S. Cazzolato, David C. O’Carroll, The University of Adelaide, Australia

WA-PF.4: REAL-TIME METHOD FOR COUNTING UNSEEN STACKED OBJECTS IN ...............4103MOBILEPhawis Thammasorn, Sukitta Boonchu, Aram Kawewong, Chiang Mai University, Thailand

WA-PF.5: REAL-TIME HAND DETECTION BASED ON MULTI-STAGE HOG-SVM ....................4108CLASSIFIERJiang Guo, Jun Cheng, Jianxin Pang, Yu Guo, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

WA-PF.6: AUTOMATIC FRAMEWORK FOR TRACKING HONEYBEE’S ANTENNAE AND .....4112MOUTHPARTS FROM LOW FRAMERATE VIDEOMinmin Shen, Paul Szyszka, C. Giovanni Galizia, Dorit Merhof, University of Konstanz, Germany

WA-PF.7: ROBUST AUTOMATIC SHIP TRACKING IN HARBOURS USING ACTIVE .................4117CAMERASMarijn J.H. Loomans, Rob G.J. Wijnhoven, Peter H.N. De With, Eindhoven University of Technology, Netherlands

WA-PF.8: UNSUPERVISED MARKED POINT PROCESS MODEL FOR BOAT ...............................4122EXTRACTION IN HARBORS FROM HIGH RESOLUTION OPTICAL REMOTELY SENSED IMAGESPaula Craciun, Josiane Zerubia, Institut National de Recherche en Informatique et en Automatique (INRIA), France

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WA-PF.9: A FAST MULTI-VIEW BASED SPECULAR REMOVAL APPROACH FOR PILL .........4126EXTRACTIONChengjie Wang, Shanghai Jiao Tong University, China; Sei-ichiro Kamata, Waseda University, Japan; Lizhuang Ma, Shanghai Jiao Tong University, China

WA-PF.10: RECONSTRUCTION OF TRANSPARENT OBJECTS IN UNSTRUCTURED ...............4131SCENES WITH A DEPTH CAMERANicolas Alt, Technische Universität München, Germany; Patrick Rives, INRIA Sophia Antipolis, France; Eckehard Steinbach, Technische Universität München, Germany

WA-PF.11: INTEGRATING VISUAL AND RANGE DATA FOR ROAD DETECTION .....................4136Wenqi Huang, Xiaojin Gong, Jilin Liu, Zhejiang University, China

WA-PF.12: COMBINING BACKGROUND SUBTRACTION AND TEMPORAL ...............................4141PERSISTENCY IN PEDESTRIAN DETECTION FROM STATIC VIDEOSZhengqiang Jiang, Du Huynh, The University of Western Australia, Australia; William Moran, Subhash Challa, The University of Melbourne, Australia

WA-PF.13: FAST PEDESTRIAN DETECTION BASED ON A PARTIAL LEAST SQUARES ..........4146CASCADEVictor Hugo de Cunha Melo, Samir Moreira Andrade Leao, Mario Fernando Montenegro Campos, Federal University of Minas Gerais, Brazil; David Menotti, Universidade Federal de Ouro Preto, Brazil; William Robson Schwartz, Federal University of Minas Gerais, Brazil

WA-PF.14: TEXT DETECTION IN NATURAL SCENE WITH EDGE ANALYSIS .............................4151Quan Meng, Yonghong Song, Yuanlin Zhang, Yang Liu, Xi’an Jiaotong University, China

WA-PG: BIOMETRICS II

WA-PG.1: ABSTRACTED RADON PROFILES FOR FINGERPRINT RECOGNITION ....................4156Tushar Sandhan, Hyung Jin Chang, Jin Young Choi, Seoul National University, Republic of Korea

WA-PG.2: QUALIFYING FINGERPRINT SAMPLES CAPTURED BY SMARTPHONE .................4161CAMERASBian Yang, Guoqiang Li, Christoph Busch, Gjøvik University College, Norway

WA-PG.3: A NOVEL 3D EAR IDENTIFICATION APPROACH BASED ON SPARSE .....................4166REPRESENTATIONZhixuan Ding, Lin Zhang, Hongyu Li, Tongji University, China

WA-PG.4: EXPLOITING GRADIENT HISTOGRAMS FOR GAIT-BASED PERSON ......................4171IDENTIFICATIONMartin Hofmann, Gerhard Rigoll, Technische Universität München, Germany

WA-PG.5: A NOVEL SHAPE-BASED INTEREST POINT DESCRIPTOR (SIP) FOR 3D .................4176EAR RECOGNITIONJiajia Lei, HuaZhong University of Science and Technology, China; Jindan Zhou, Mohamed Abdel-Mottaleb, University of Miami, United States

WA-PG.6: NEWBORN AND INFANT FOOTPRINT CREASE PATTERN EXTRACTION ...............4181Johannes Kotzerke, Stephen Davis, Kathy Horadam, RMIT University, Australia; Jodie McVernon, The University of Melbourne, Australia

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WA-PG.7: CONTACTLESS PALMPRINT VERIFICATION BASED ON SIFT AND .........................4186ITERATIVE RANSACQiushi Zhao, Xiangqian Wu, Wei Bu, Harbin Institute of Technology, China

WA-PG.8: LATENT SUPPORT VECTOR MACHINE FOR SIGN LANGUAGE ................................4190RECOGNITION WITH KINECTChao Sun, Tianzhu Zhang, Bing-Kun Bao, Changsheng Xu, Institute of Automation, Chinese Academy of Sciences, China

WA-PG.9: GAIT RECOGNITION BASED ON GAIT PAL AND PAL ENTROPY IMAGE ................4195Jeevan M, Indian Institute of Technology Delhi, India; Neha Jain, Banasthali University, India,, India; Hanmandlu Madasu, Indian Institute of Technology Delhi, India; Girija Chetty, University of Canberra, Australia

WA-PG.10: DETECTION, LOCALIZATION AND POSE CLASSIFICATION OF EAR IN 3D ........4200FACE PROFILE IMAGESJiajia Lei, HuaZhong University of Science and Technology, China; Jindan Zhou, Mohamed Abdel-Mottaleb, University of Miami, United States; Xinge You, HuaZhong University of Science and Technology, China

WA-PG.11: QUALITY ASSESSMENT OF KNUCKLEPRINT BIOMETRIC IMAGES ......................4205Aditya Nigam, Phalguni Gupta, Indian Institute of Technology Kanpur, India

WA-PG.12: DERIVATIVE VARIATION PATTERN FOR ILLUMINATION-INVARIANT .............4210IMAGE REPRESENTATIONMohammad Tavakolian, Tafresh University, Iran; Farshid Hajati, Griffith University, Australia; Ajmal Mian, The University of Western Australia, Australia; Yongsheng Gao, Griffith University, Australia; Soheila Gheisari, Central Tehran Branch, Azad University, Iran

WA-PG.13: FACIAL EMOTION RECOGNITION WITH ANISOTROPIC INHIBITED ...................4215GABOR ENERGY HISTOGRAMSAlbert Cruz, Bir Bhanu, Ninad Thakoor, Center for Research in Intelligent Systems, United States

WA-PG.14: EYE MOVEMENT ANALYSIS FOR DEPRESSION DETECTION...................................4220Sharifa Alghowinem, Australian National University, Australia; Roland Goecke, Michael Wagner, University of Canberra, Australia; Gordon Parker, Michael Breakspear, University of New South Wales, Australia

WA-PH: MULTIMEDIA ENCRYPTION AND APPLICATIONS

WA-PH.1: A METHOD FOR COUNTING MOVING AND STATIONARY PEOPLE BY ..................4545INTEREST POINT CLASSIFICATIONChi Yoon Jeong, SuGil Choi, Seung Wan Han, Electronics and Telecommunications Research Institute, Republic of Korea

WA-PH.2: LICENSE PLATE LOCALIZATION BASED ON EDGE-GEOMETRICAL .....................4549FEATURES USING MORPHOLOGICAL APPROACHJinn-Li Tan, Syed A.R Abu-Bakar, Musa M. Mokji, Universiti Teknologi Malaysia, Malaysia

WA-PH.3: A NEW MULTICLASS SVM ALGORITHM AND ITS APPLICATION TO .....................4554CROWD DENSITY ANALYSIS USING LBP FEATURESHajer Fradi, Jean-Luc Dugelay, EURECOM, France

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WA-PH.4: AIRCRAFT PUSH BACK DIRECTION INDICATOR ...........................................................4559Mahesh Kumar Gellaboina, Dhananjayan Sridhar, Gurumurthy Swaminathan, Ibrahim Mohideen, Honeywell Technology Solutions, India

WA-PH.5: MOTION-BASED BACKGROUND SUBTRACTION AND PANORAMIC .......................4564MOSAICING FOR FREIGHT TRAIN ANALYSISAvinash Kumar, John Hart, Narendra Ahuja, University of Illinois at Urbana-Champaign, United States

WA-PH.6: PERFORMANCE BENCHMARKING OF RVC BASED MULTIMEDIA ..........................4569SPECIFICATIONSJunaid Jameel Ahmad, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland; Shujun Li, University of Surrey, United Kingdom; Marco Mattavelli, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

WA-PH.7: PROGRESSIVE QUALITY DEGRADATION IN JPEG COMPRESSED IMAGE ...........4574USING DC BLOCK ORIENTATION WITH REWRITABLE DATA EMBEDDING FUNCTIONALITYSimYing Ong, Kazuki Minemura, KokSheik Wong, University of Malaya, Malaysia

WA-PH.8: QUATERNION GYRATOR TRANSFORM AND ITS APPLICATION TO COLOR .......4579IMAGE ENCRYPTIONZhuhong Shao, Jiasong Wu, Southeast University, China; Jean Louis Coatrieux, Centre de Recherche en Information Médicale Sino-français, France; Gouenou Coatrieux, Institut Mines-Telecom, Telecom Bretagne, France; Huazhong Shu, Southeast University, China

WA-PH.9: FORMAT-COMPLIANT ENCRYPTION TECHNIQUES FOR HIGH ...............................4583EFFICIENCY VIDEO CODINGGlenn Van Wallendael, Jan De Cock, Sebastiaan Van Leuven, Ghent University - iMinds - Multimedia Lab, Belgium; Andras Boho, University of Leuven, Belgium; Peter Lambert, Ghent University - iMinds - Multimedia Lab, Belgium; Bart Preneel, University of Leuven, Belgium; Rik Van de Walle, Ghent University - iMinds - Multimedia Lab, Belgium

WA-PH.10: PROTECTION OF JPEG COMPRESSED E-COMICS BY SELECTIVE ........................4588ENCRYPTIONMickael Pinto, William Puech, Gérard Subsol, University of Montpellier, France

WP-L1: SPARSE REPRESENTATIONS AND REGULARISATION

WP-L1.1: VIDEO COMPRESSIVE SENSING USING MULTIPLE MEASUREMENT ........................136VECTORSMichael Iliadis, Jeremy Watt, Leonidas Spinoulas, Aggelos K. Katsaggelos, Northwestern University, United States

WP-L1.2: SPARSE REPRESENTATION BASED ACTION AND GESTURE RECOGNITION ...........141Sushma Bomma, Heriot-Watt University, United Kingdom; Paolo Favaro, University of Bern, Switzerland; Neil M. Robertson, Heriot-Watt University, United Kingdom

WP-L1.3: K-WEB: NONNEGATIVE DICTIONARY LEARNING FOR SPARSE IMAGE ..................146REPRESENTATIONSMarco Bevilacqua, Aline Roumy, Christine Guillemot, INRIA, France; Marie-Line Alberi Morel, Alcate-Lucent Bell Labs, France

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WP-L1.4: ONLINE ADAPTIVE DICTIONARY LEARNING AND WEIGHTED SPARSE ..................151CODING FOR ABNORMITY DETECTIONSheng Han, Shenzhen Key Lab for Computer Vision and Pattern Recognition, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China, China; Ruiqing Fu, Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China; Suzhen Wang, The Chinese University of Hong Kong, Hong Kong SAR of China; Xinyu Wu, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

WP-L1.5: GUIDED SEARCH CONSENSUS:LARGE SCALE POINT CLOUD .....................................156REGISTRATION BY CONVEX OPTIMIZATIONManuel Marques, João Costeira, Instituto Superior Técnico, Portugal

WP-L1.6: IMAGE UNPROJECTION FOR 3D SURFACE RECONSTRUCTION: A ............................161TRIANGULATION-BASED APPROACHMin-Hyuk Sung, Hwasup Lim, Hyoung-Gon Kim, Sang Chul Ahn, Korea Institute of Science and Technology, Republic of Korea

WP-L1.7: DISCRIMINATIVE DICTIONARY LEARNING WITH SPATIAL PRIORS ........................166Nazar Khan, Marshall Tappen, University of Central Florida, United States

WP-L2: REGISTRATION AND FUSION

WP-L2.1: THE SHORTEST WARPING PATH BASED MULTIPLE IMAGES ALIGNMENT ............765Wei Yu, Hongxun Yao, Harbin Institute of Technology, China; Kuiyuan Yang, Lei Zhang, Microsoft Research Asia, China

WP-L2.2: DENSE IMAGE CORRESPONDENCE UNDER LARGE APPEARANCE ...........................770VARIATIONSLinlin Liu, Kok-Lim Low, National University of Singapore, Singapore; Wen-Yan Lin, Oxford Brookes University, Singapore

WP-L2.3: LIDAR TO IMAGE COREGISTRATION ON ORBITAL DATA ............................................775Brian Coltin, Carnegie Mellon University, United States; Ara Nefian, NASA Ames Research Center, United States

WP-L2.4: KEYPOINT MATCHING AND IMAGE REGISTRATION USING SPARSE .......................780REPRESENTATIONSRaymond Ptucha, Sherif Azary, Andreas Savakis, Rochester Institute of Technology, United States

WP-L2.5: VIDEO STABILIZATION BY ESTIMATION OF SIMILARITY ...........................................785TRANSFORMATION FROM INTEGRAL PROJECTIONSMuninder Veldandi, Soumik Ukil, Krishna Govinda rao, Nokia India Private Limited, India

WP-L2.6: HIGH DYNAMIC RANGE IMAGING BY A RANK-1 CONSTRAINT...................................790Tae-Hyun Oh, Joon-Young Lee, In So Kweon, Korea Advanced Institute of Science and Technology, Republic of Korea

WP-L2.7: WEIGHT OPTIMIZATION FOR MULTIPLE IMAGE INTEGRATION ..............................795Ryo Matsuoka, Tomohiro Yamauchi, Tatsuya Baba, Masahiro Okuda, The University of Kitakyushu, Japan

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WP-L3: IMAGE CODING

WP-L3.1: TRANSFORM CODER IDENTIFICATION WITH DOUBLE QUANTIZED DATA..........1660Marco Tagliasacchi, Politecnico di Milano, Italy; Marco Visentini-Scarzanella, Pier Luigi Dragotti, Imperial College London, United Kingdom; Stefano Tubaro, Politecnico di Milano, Italy

WP-L3.2: REMOTE SENSING IMAGE COMPRESSION BASED ON .................................................1665DOUBLE-SPARSITY DICTIONARY LEARNING AND UNIVERSAL TRELLIS CODED QUANTIZATIONXin Zhan, Rong Zhang, Dong Yin, Anzhou Hu, University of Science and Technology of China, China; Wenlong Hu, Key Laboratory of Geospatial Information Processing and Application System Technology, Chinese Academy of Sciences, China

WP-L3.3: COMPLEXITY REDUCTION OF WAVELET CODECS THROUGH ................................1670MODIFIED QUALITY CONTROLMarijn J.H. Loomans, Peter H.N. de With, Eindhoven University of Technology, Netherlands

WP-L3.4: ON THE DESIGN OF A NOVEL JPEG QUANTIZATION TABLE FOR ...........................1675IMPROVED FEATURE DETECTION PERFORMANCEJianshu Chao, Hu Chen, Eckehard Steinbach, Technische Universität München, Germany

WP-L3.5: MASSIVELY PARALLEL LOSSLESS COMPRESSION OF MEDICAL IMAGES ..........1680USING LEAST-SQUARES PREDICTION AND ARITHMETIC CODINGAndreas Weinlich, Johannes Rehm, Universität Erlangen-Nürnberg, Germany; Peter Amon, Andreas Hutter, Siemens Corporate Technology, Germany; André Kaup, Universität Erlangen-Nürnberg, Germany

WP-L3.7: WAVELET INPAINTING DRIVEN IMAGE COMPRESSION VIA ....................................1685COLLABORATIVE SPARSITY AT LOW BIT RATESChen Zhao, Peking University, China; Jian Zhang, Harbin Institute of Technology, China; Siwei Ma, Wen Gao, Peking University, China

WP-L4: HARDWARE FOR IMAGE PROCESSING

WP-L4.1: HIGH-THROUGHPUT INTERPOLATION HARDWARE ARCHITECTURE ..................2091WITH COARSE-GRAINED RECONFIGURABLE DATAPATHS FOR HEVCCláudio Machado Diniz, Karlsruhe Institute of Technology (KIT) and Federal University of Rio Grande do Sul (UFRGS), Germany; Muhammad Shafique, Karlsruhe Institute of Technology (KIT), Germany; Sergio Bampi, Federal University of Rio Grande do Sul, Brazil; Jörg Henkel, Karlsruhe Institute of Technology (KIT), Germany

WP-L4.2: AUTOMATIC DETECTION OF DUST AND SCRATCHES IN SILVER HALIDE ...........2096FILM USING POLARIZED DARK-FIELD ILLUMINATIONDominic Rüfenacht, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland; Giorgio Trumpy, Rudolf Gschwind, University of Basel, Switzerland; Sabine Süsstrunk, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

WP-L4.3: LENSLESS IMAGING BY COMPRESSIVE SENSING ..........................................................2101Gang Huang, Hong Jiang, Kim Matthews, Paul Wilford, Bell Labs, United States

WP-L4.4: GPU ACCELERATED MOTION AND DISPARITY ESTIMATIONS FOR .......................2106MULTIVIEW CODINGCaoyang Jiang, Saeid Nooshabadi, Michigan Technological University, United States

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WP-L4.5: LOW DELAY H.264/AVC BIDIRECTIONAL INTER PREDICTION ON A GPU ..............2111Rafael Rodríguez-Sánchez, José Luis Martínez, University of Castilla-La Mancha, Spain; Jan De Cock, Ghent University - iMinds, Belgium; José Luis Sánchez, University of Castilla-La Mancha, Spain; José Manuel Claver, University of Valencia, Spain; Rik Van de Walle, Ghent University - iMinds, Belgium

WP-L4.6: COMMUNICATION-MINIMIZING 2D CONVOLUTION IN GPU REGISTERS ..............2116Forrest N. Iandola, David Sheffield, Michael J. Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer, University of California, Berkeley, United States

WP-L5: LOCAL FEATURES

WP-L5.1: RATE-ACCURACY OPTIMIZATION OF BINARY DESCRIPTORS..................................2910Alessandro Redondi, Luca Baroffio, Politecnico di Milano, Italy; Joao Ascenso, Instituto de Telecomunicações, Portugal; Matteo Cesana, Marco Tagliasacchi, Politecnico di Milano, Italy

WP-L5.2: BRIGHT: A SCALABLE AND COMPACT BINARY DESCRIPTOR FOR ........................2915LOW-LATENCY AND HIGH ACCURACY OBJECT IDENTIFICATIONKota Iwamoto, Ryota Mase, Toshiyuki Nomura, NEC Corporation, Japan

WP-L5.3: ABFT: ANISOTROPIC BINARY FEATURE TRANSFORM BASED ON ...........................2920STRUCTURE TENSOR SPACESeungryong Kim, Hunjae Yoo, Seungchul Ryu, Bumsub Ham, Kwanghoon Sohn, Yonsei University, Republic of Korea

WP-L5.4: SPATIAL HISTOGRAM OF KEYPOINTS (SHIK) .................................................................2924Zenonas Theodosiou, Nicolas Tsapatsoulis, Cyprus University of Technology, Cyprus

WP-L5.5: ORDERED HISTOGRAM OF SHAPEMES: AN ORDERED BAG-OF-FEATURES .........2929BASED SHAPE DESCRIPTOR FOR EFFICIENT SHAPE MATCHINGLunshao Chai, Beijing University of Posts and Telecommunications, China; Zhen Qin, University of California, Riverside, United States; Qun Li, Honggang Zhang, Jun Guo, Beijing University of Posts and Telecommunications, China

WP-L5.6: 3D-DIV: A NOVEL LOCAL SURFACE DESCRIPTOR FOR FEATURE ...........................2934MATCHING AND PAIRWISE RANGE IMAGE REGISTRATIONSyed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaid, Amar A. El-Sallam, The University of Western Australia, Australia

WP-L5.7: A SOFT MEASURE FOR IDENTIFYING STRUCTURE FROM RANDOMNESS ............2939IN IMAGESAous Thabit Naman, David Taubman, The University of New South Wales, Australia

WP-L6: OBJECT DETECTION AND TRACKING

WP-L6.1: GLASS OBJECT SEGMENTATION BY LABEL TRANSFER ON JOINT DEPTH ..........2944AND APPEARANCE MANIFOLDSTao Wang, Xuming He, Nick Barnes, National ICT Australia and Australian National University, Australia

WP-L6.2: FRAMELET FEATURES FOR PEDESTRIAN DETECTION IN NOISY DEPTH .............2949IMAGESYan-Ran Li, Shiqi Yu, Shengyin Wu, Shenzhen University, China

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WP-L6.3: ROBUST MULTIPLE OBJECT TRACKING BY DETECTION WITH ..............................2953INTERACTING MARKOV CHAIN MONTE CARLOSanthoshkumar Sunderrajan, Karthikeyan S, Manjunath B.S., University of California, Santa Barbara, United States

WP-L6.4: NON-RIGID OBJECT TRACKING BY ADAPTIVE DATA-DRIVEN KERNEL ................2958Xin Sun, Hongxun Yao, Shengping Zhang, Harbin Institute of Technology, China; Mingui Sun, University of Pittsburgh, United States

WP-L6.5: INTEREST POINTS BASED OBJECT TRACKING VIA SPARSE ......................................2963REPRESENTATIONVenkatesh Babu Radhakrishnan, Priti Parate, Indian Institute of Science, India

WP-L6.6: UNUSUAL EVENTS DETECTION BASED ON MULTI-DICTIONARY SPARSE ............2968REPRESENTATION USING KINECTCan Wang, Hong Liu, Peking University, China

WP-L6.7: MULTIPLE OBJECT IDENTIFICATION USING GRID VOTING OF OBJECT .............2973CENTER ESTIMATED FROM KEYPOINT MATCHESKyota Higa, Kota Iwamoto, Toshiyuki Nomura, NEC Corporation, Japan

WP-L7: FACIAL BIOMETRICS

WP-L7.1: LOCATING FACIAL LANDMARKS WITH BINARY MAP ................................................2978CROSS-CORRELATIONSJeremie Nicolle, Kevin Bailly, Vincent Rapp, Mohamed Chetouani, University Pierre et Marie Curie, ISIR - CNRS, France

WP-L7.2: KINSHIP CLASSIFICATION BY MODELING FACIAL FEATURE HEREDITY ............2983Ruogu Fang, Andrew Gallagher, Tsuhan Chen, Cornell University, United States; Alexander Loui, Eastman Kodak Company, United States

WP-L7.3: TIME-SENSITIVE TOPIC MODELS FOR ACTION RECOGNITION IN .........................2988VIDEOSRomain Tavenard, Rémi Emonet, Jean-Marc Odobez, Idiap Research Institute, Switzerland

WP-L7.4: ON RANK AGGREGATION FOR FACE RECOGNITION FROM VIDEOS ......................2993Himanshu Bhatt, Richa Singh, Mayank Vatsa, IIIT Delhi, India

WP-L7.5: FUSING MULTI-FEATURE REPRESENTATION AND PSO-ADABOOST BASED ........2998FEATURE SELECTION FOR RELIABLE FRONTAL FACE DETECTIONHong Pan, Southeast University, China; Yaping Zhu, Communication University of China, China; Liangzheng Xia, Southeast University, China

WP-L7.6: ON EVALUATING FACE TRACKS IN MOVIES ...................................................................3003Alexey Ozerov, Jean-Ronan Vigouroux, Louis Chevallier, Patrick Pérez, Technicolor, France

WP-L7.7: LOCAL FEATURES AND SPARSE REPRESENTATION FOR FACE ...............................3008RECOGNITION WITH PARTIAL OCCLUSIONSAlessandro Adamo, Giuliano Grossi, Raffaella Lanzarotti, University of Milan, Italy

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WP-PA: IMAGE QUALITY ASSESSMENT

WP-PA.1: A GLOBAL IMAGE FIDELITY METRIC: VISUAL DISTANCE AND ITS ........................369PROPERTIESThomas Richter, University of Stuttgart, Germany

WP-PA.2: A NO-REFERENCE IMAGE SHARPNESS ESTIMATION BASED ON ..............................374EXPECTATION OF WAVELET TRANSFORM COEFFICIENTSHengjun Zhao, Bin Fang, Chongqing University, China; Yuan Yan Tang, University of Macau, China

WP-PA.3: IMAGE QUALITY ESTIMATION FOR DIFFERENT SPATIAL RESOLUTIONS .............379A. Murat Demirtas, University of California, Irvine, United States; Amy R. Reibman, AT&T Labs Research, United States; Hamid Jafarkhani, University of California, Irvine, United States

WP-PA.4: SUBJECTIVE AND OBJECTIVE QUALITY ASSESSMENT FOR IMAGES .....................383WITH CONTRAST CHANGEKe Gu, Guangtao Zhai, Xiaokang Yang, Wenjun Zhang, Min Liu, Shanghai Jiao Tong University, China

WP-PA.5: VISUAL COMPLEXITY ASSESSMENT OF PAINTING IMAGES .......................................388Xiaoying Guo, Takio Kurita, Hiroshima University, Japan; Chie Muraki Asano, Yasuda Women’s University, Japan; Akira Asano, Kansai University, Japan

WP-PA.6: COLOR-TONE SIMILARITY OF DIGITAL IMAGES ............................................................393Hisakazu Kikuchi, Satoshi Kataoka, Shogo Muramatsu, Niigata University, Japan; Heikki Huttunen, Tampere University of Technology, Finland

WP-PA.7: PERCEPTUAL QUALITY ASSESSMENT FOR COLOR IMAGE INPAINTING ...............398Dang Thanh Trung, Azeddine Beghdadi, Université Paris 13, France; Chaker Larabi, Université de Poitiers, France

WP-PA.8: AN EVALUATION OF STEREO MATCHING METHODS FOR VIEW ..............................403INTERPOLATIONGustavo Führ, Guilherme Fickel, Lorenzo Dal’Aqua, Universidade Federal do Rio Grande do Sul (UFRGS), Brazil; Cláudio Rosito Jung, Federal University of Rio Grande do Sul, Brazil; Tom Malzbender, Ramin Samadani, HP Labs Palo Alto, United States

WP-PA.9: NO-REFERENCE QUALITY METRIC FOR DEPTH MAPS .................................................408Simone Milani, Daniele Ferrario, Stefano Tubaro, Politecnico di Milano, Italy

WP-PA.10: A PROBABILISTIC PAIRWISE-PREFERENCE PREDICTOR FOR IMAGE .................413QUALITYAmy R. Reibman, Kenneth Shirley, Chao Tian, AT&T Labs Research, United States

WP-PA.11: A FOREGROUND OBJECT BASED QUANTITATIVE ASSESSMENT OF ......................418DENSE STEREO APPROACHES FOR USE IN AUTOMOTIVE ENVIRONMENTSOliver K. Hamilton, Toby P. Breckon, Cranfield University, United Kingdom; Xuejiao Bai, Sei-ichiro Kamata, Waseda University, Japan

WP-PA.12: A NOVEL SVD-BASED IMAGE QUALITY ASSESSMENT METRIC ................................423Shuigen Wang, Chenwei Deng, Beijing Institute of Technology, China; Weisi Lin, Nanyang Technological University, Singapore; Baojun Zhao, Beijing Institute of Technology, China; Jie Chen, Nanyang Technological University, Singapore

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WP-PA.13: MACHINE LEARNING-BASED MULTI-CHANNEL EVALUATION POOLING ...........427STRATEGY FOR IMAGE QUALITY ASSESSMENTAnzhou Hu, Rong Zhang, Dong Yin, University of Science and Technology of China, China; Wenlong Hu, Chinese Academy of Sciences, China

WP-PB: RESTORATION AND ENHANCEMENT III

WP-PB.1: EFFICIENT SEAM CARVING FOR OBJECT REMOVAL...................................................1331Bo Yan, Yiqi Gao, Kairan Sun, Bo Yang, Fudan University, China

WP-PB.2: SAMPLE-BASED IMAGE COMPLETION USING STRUCTURE SYNTHESIS ...............1336Chongwu Tang, Xi Hu, Li Chen, Guangtao Zhai, Xiaokang Yang, Shanghai Jiao Tong University, China

WP-PB.3: MANIFOLD ALIGNMENT BASED COLOR TRANSFER FOR MULTIVIEW ................1341IMAGE STITCHINGYuntao Qian, Danping Liao, Zhejiang University, China; Jun Zhou, Griffith University, Australia

WP-PB.4: A SIMULTANEOUS METHOD FOR 3D VIDEO SUPER-RESOLUTION AND ................1346HIGH-QUALITY DEPTH ESTIMATIONJing Zhang, Yang Cao, Zengfu Wang, University of Science and Technology of China, China

WP-PB.5: SEEING THROUGH THE FENCE: IMAGE DE-FENCING USING A VIDEO .................1351SEQUENCEVrushali Khasare, Rajiv Sahay, Indian Institute of Technology Kharagpur, India; Mohan Kankanhalli, National University of Singapore, Singapore

WP-PB.6: OPTIMIZED ADAPTIVE DEPTH MAP FILTERING ............................................................1356Martin Koeppel, Mehdi Ben Makhlouf, Technische Universität Berlin / Fraunhofer Heinrich Hertz Institute, Germany; Patrick Ndjiki-Nya, Fraunhofer Heinrich Hertz Institute, Germany

WP-PB.7: NEIGHBOR COMBINATION FOR ATMOSPHERIC TURBULENCE IMAGE ...............1361RECONSTRUCTIONDong Gong, Yanning Zhang, Shaobo Dang, Jinqiu Sun, Northwestern Polytechnical University, China

WP-PB.9: SPARSE MODELING BASED IMAGE INPAINTING WITH LOCAL ...............................1371SIMILARITY CONSTRAINTJingang Shi, Chun Qi, Xi’an Jiaotong University, China

WP-PB.10: VIDEO SUPER-RESOLUTION USING LOW RANK MATRIX ........................................1376COMPLETIONJin Chen, Jose Yanez, Alin Achim, University of Bristol, United Kingdom

WP-PB.11: HOLE-FREE TEXTURE MAPPING BASED ON LASER REFLECTIVITY ....................1381Shuji Oishi, Ryo Kurazume, Yumi Iwashita, Tsutomu Hasegawa, Kyushu University, Japan

WP-PB.12: RECONSTRUCTION OF 3D DYNAMIC EXPRESSIONS FROM SINGLE .....................1386FACIAL IMAGEShunya Osawa, Ritsumeikan University, Japan; Guifang Duan, Zhejiang University, China; Masataka Seo, Takanori Igarashi, Yen-Wei Chen, Ritsumeikan University, Japan

WP-PB.13: ITERATIVELY REWEIGHTED BLIND DECONVOLUTION ...........................................1391Brandoch Calef, The Boeing Company, United States

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WP-PB.14: RANGE IMAGES REGISTRATION BY CORRECTION OF PERSPECTIVE ................1394DEFORMATIONS AND CAMERA CALIBRATIONDenis Lamovsky, Universität Passau, Germany

WP-PC: BIOMEDICAL IMAGE ANALYSIS III

WP-PC.1: A NOVEL MARKER-LESS TUMOR TRACKING STRATEGY ON LOW-RANK ..........1399FLUOROSCOPIC IMAGES FOR IMAGE-GUIDED LUNG CANCER RADIOTHERAPYWei Huang, Jing Li, Nanchang University, China; Peng Zhang, Northwestern Polytechnical University, China; Min Wan, National Heart Centre, SingHealth, Singapore

WP-PC.3: CLASSIFICATION OF EX-VIVO BREAST CANCER POSITIVE MARGINS .................1408MEASURED BY HYPERSPECTRAL IMAGINGReza Pourreza Shahri, Fatemeh Saki, Nasser Kehtarnavaz, University of Texas at Dallas, United States; Peter Leboulluec, Hanli Liu, University of Texas at Arlington, United States

WP-PC.4: SEMI-BLIND DECONVOLUTION FOR RESOLUTION ENHANCEMENT IN ...............1413ULTRASOUND IMAGINGRenaud Morin, Stéphanie Bidon, Adrian Basarab, Denis Kouamé, University of Toulouse, France

WP-PC.5: MULTI-SCALE, MULTI-LEVEL, HETEROGENEOUS FEATURES ................................1418EXTRACTION AND CLASSIFICATION OF VOLUMETRIC MEDICAL IMAGESShuai Li, Qinping Zhao, Beihang University, China; Shengfa Wang, Stony Brook University, United States; Aimin Hao, Beihang University, China; Hong Qin, Stony Brook University, United States

WP-PC.6: CURVELET DOMAIN IMAGE FUSION OF OCT AND FUNDUS IMAGERY .................1423USING CONVOLUTION OF MERIDIAN DISTRIBUTIONSOdysseas Pappas, Nantheera Anantrasirichai, Lindsay Nicholson, University of Bristol, United Kingdom; James E Morgan, Irina Erchova, Cardiff University, United Kingdom; Alin Achim, University of Bristol, United Kingdom

WP-PC.7: MULTIMODAL RETINAL IMAGE REGISTRATION USING A FAST PRINCIPAL .....1428COMPONENT ANALYSIS HYBRID-BASED SIMILARITY MEASUREParminder Singh Reel, Laurence S. Dooley, K.C.P Wong, The Open University, United Kingdom; Anko Börner, German Aerospace Center (DLR), Germany

WP-PC.8: REDUCTION OF FALSE POSITIVE DETECTION IN CLUSTERED ...............................1433MICROCALCIFICATIONSJuan Wang, Yongyi Yang, Illinois Institute of Technology, United States; Robert Nishikawa, University of Chicago, United States

WP-PC.9: 3D THIN-PLATE SPLINE REGISTRATION FOR DROSOPHILA BRAIN .......................1438SURFACE MODELHao-Chiang Shao, Academia Sinica, Taiwan; Cheng-Chi Wu, Lu-Hung Hsu, National Tsing Hua University, Taiwan; Wen-Liang Hwang, Academia Sinica, Taiwan; Yung-Chang Chen, National Tsing Hua University, Taiwan

WP-PC.10: A DFT BASED ROTATION AND SCALE INVARIANT GABOR TEXTURE .................1443DESCRIPTOR AND ITS APPLICATION TO GASTROENTEROLOGYFarhan Riaz, Instituto de Telecomunicações, Pakistan; Mario Dinis Ribeiro, Pedro Pimentel-Nunes, Instituto Português de Oncologia do Porto, Portugal; Miguel Tavares Coimbra, Instituto de Telecomunicações, Portugal

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WP-PC.11: THREE-DIMENSIONAL ALIGNMENT AND MERGING OF CONFOCAL ..................1447MICROSCOPY STACKSNisha Ramesh, Hideo Otsuna, Tolga Tasdizen, University of Utah, United States

WP-PC.12: A FINITE ELEMENT CONTOUR APPROACH TO AFFINE INVARIANT SHAPE .....1451REPRESENTATION Ning Ding, Huihuan Qian, Yangsheng Xu, The Chinese University of Hong Kong, Hong Kong SAR of China

WP-PC.13: ASSESSMENT OF DOTS AND GLOBULES IN DERMOSCOPIC COLOR ....................1456IMAGES AS ONE OF THE 7-POINT CHECK LIST CRITERIAJoanna Jaworek-Korjakowska, Ryszard Tadeusiewicz, AGH University of Science and Technology, Poland

WP-PC.14: A NEW TOMOGRAPHY MODEL FOR ALMOST OPTIMAL DETECTION OF ..........1461ANOMALIESRémi Cogranne, Florent Retraint, Troyes University of Technology, France

WP-PD: HEVC II

WP-PD.1: MODE DECISION WITH ENHANCED INTER-PREDICTION IN HEVC .........................1962Saverio G. Blasi, Eduardo Peixoto, Ebroul Izquierdo, Queen Mary, University of London, United Kingdom

WP-PD.2: A COMBINED SAO AND DE-BLOCKING FILTER ARCHITECTURE FOR ..................1967HEVC VIDEO DECODERJiayi Zhu, Dajiang Zhou, Gang He, Satoshi Goto, Waseda University, Japan

WP-PD.3: AN H.264/AVC TO HEVC VIDEO TRANSCODER BASED ON MODE ............................1972MAPPINGEduardo Peixoto, Bruno Macchiavello, Edson Mintsu Hung, Alexandre Zaghetto, Universidade de Brasilia, Brazil; Tamer Shanableh, American University of Sharjah, United Arab Emirates; Ebroul Izquierdo, Queen Mary, University of London, United Kingdom

WP-PD.4: FAST PREDICTION MODE DECISION WITH HADAMARD TRANSFORM .................1977BASED RATE-DISTORTION COST ESTIMATION FOR HEVC INTRA CODINGJia Zhu, Zhenyu Liu, Dongsheng Wang, Tsinghua University, China; Qingrui Han, Yang Song, Huawei Technologies Co. Ltd, China

WP-PD.5: NOVEL FAST PU DECISION ALGORITHM FOR THE HEVC VIDEO ...........................1982STANDARDJong-Hyeok Lee, Chan-Seob Park, Byung-Gyu Kim, SunMoon University, Republic of Korea; Dong-San Jun, Soon-Heung Jung Jung, Jin Soo Choi, ETRI, Republic of Korea

WP-PD.6: REGION-CLASSIFICATION-BASED RATE CONTROL FOR FLICKER .......................1986SUPPRESSION OF I-FRAMES IN HEVCPeng Wang, Yongfei Zhang, Hai-Miao Hu, Bo Li, Beihang University, China

WP-PD.8: A HARDWARE FRIEDLY MOTION ESTIMATION ALGORITHM FOR THE ..............1991EMERGENT HEVC STANDARD AND ITS LOW POWER HARDWARE DESIGNGustavo Sanchez, Marcelo Porto, Luciano Agostini, UFPEL, Brazil

WP-PD.9: GAME-THEORETIC RATE-DISTORTION-COMPLEXITY OPTIMIZATION ..............1995FOR HEVCAnna Ukhanova, Technical University of Denmark, Denmark; Simone Milani, Politecnico di Milano, Italy; Søren Forchhammer, Technical University of Denmark, Denmark

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WP-PD.10: AN OPTIMALLY COMPLEXITY SCALABLE MULTI-MODE DECISION ..................2000ALGORITHM FOR HEVCYihao Zhang, Shichao Huang, Huang Li, Hongyang Chao, Sun Yat-sen University, China

WP-PD.11: FAST MULTI REFERENCE FRAME MOTION ESTIMATION FOR HIGH ..................2005EFFICIENCY VIDEO CODINGShanshe Wang, Harbin Institute of Technology, China; Siwei Ma, Shiqi Wang, Peking University, China; Debin Zhao, Harbin Institute of Technology, China; Wen Gao, Peking University, China

WP-PD.12: IMPROVED INTRA TRANSFORM SKIP MODE IN HEVC ..............................................2010Liang Zhao, Harbin Institute of Technology, China; Jicheng An, Mediatek Inc. (Beijing), China; Siwei Ma, Peking University, China; Debin Zhao, Xiaopeng Fan, Harbin Institute of Technology, China

WP-PD.13: PREDICTIVE CODING OF CU QUADTREE STRUCTURE FOR HEVC .......................2015QUALITY SCALABILITYKwanghyun Won, Hoyoung Lee, Sungkyunkwan University, Republic of Korea; Jeonghoon Park, Samsung Electronics, Republic of Korea; Byeungwoo Jeon, Sungkyunkwan University, Republic of Korea

WP-PD.14: RESIDUE ROLE ASSIGNMENT BASED TRANSFORM PARTITION ...........................2019PREDETERMINATION ON HEVCJia Su, Koyo Nitta, Mitsuo Ikeda, Atsushi Shimizu, NTT Media Intelligence Laboratories, Nippon Telegraph and Telephone Corporation, Japan

WP-PE: SEGMENTATION III

WP-PE.2: DOCUMENT IMAGE AND ZONE CLASSIFICATION THROUGH ..................................4230INCREMENTAL LEARNINGMohamed-Rafik Bouguelia, Yolande Belaid, Abdel Belaid, Université de Lorraine, France

WP-PE.3: STREAMING VIDEO OBJECT SEGMENTATION WITH THE ADAPTIVE ...................4235COHERENCE FACTORSongtao Pu, Hongbin Zha, Peking University, China

WP-PE.4: MOTION SEGMENTATION VIA OVERLAPPING TEMPORAL WINDOWS .................4239Nikolaos Dimitriou, Anastasios Delopoulos, Aristotle University of Thessaloniki, Greece

WP-PE.5: MOTION BLUR FOR MOTION SEGMENTATION ..............................................................4244Paramanand Chandramouli, Rajagopalan Ambasamudram. N., Indian Institute of Technology Madras, India

WP-PE.6: CAUSAL GRAPH-BASED VIDEO SEGMENTATION...........................................................4249Camille Couprie, IFP Energies nouvelles, France; Clément Farabet, Yann LeCun, Laurent Najman, New York University, United States

WP-PE.8: SYMMETRY DETECTION VIA CONTOUR GROUPING ....................................................4259Yansheng Ming, Hongdong Li, Australian National University, Australia; Xuming He, NICTA, Australia

WP-PE.9: AN ASSOCIATIVE SALIENCY SEGMENTATION METHOD FOR INFRARED ...........4264TARGETSLei Zhang, Yanning Zhang, Wei Wei, Qingjie Meng, School of Computer Science,Shaanxi Provincial Key Laboratory of Speech & Image Information Processing, Northwestern Polytechnical Univeristy, China

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WP-PE.10: SUPERCUT: AN ACCURATE AND EFFECTIVE INTERACTIVE IMAGE ...................4269SEGMENTATION ALGORITHMQingsong Zhu, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China; Ling Shao, University of Sheffield, United Kingdom; Zhan Song, Yaoqin Xie, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

WP-PE.11: A NOVEL THIN ELONGATED OBJECTS SEGMENTATION BASED ON ....................4273FUZZY CONNECTEDNESS AND GMM LEARNINGQingsong Zhu, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China; Ricang Ye, South China University of Technology, China; Ling Shao, University of Sheffield, United Kingdom; Qi Li, University of Science and Technology of China, China; Yaoqin Xie, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

WP-PE.12: AUTOMATED SEGMENTATION OF MULTIPLE SCLEROSIS LESION IN ................4277INTENSITY ENHANCED FLAIR MRI USING TEXTURE FEATURES AND SUPPORT VECTOR MACHINEPallab Kanti Roy, The University of Melbourne, Australia; Alauddin Bhuiyan, Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia; Ramamohanarao Kotagiri, The University of Melbourne, Australia

WP-PE.13: ITERATIVE TRANSDUCTIVE LEARNING FOR ALPHA MATTING ............................4282Bei He, Guijin Wang, Chenbo Shi, Xuanwu Yin, Bo Liu, Xinggang Lin, Tsinghua University, China

WP-PF: OBJECT RECOGNITION AND CLASSIFICATION IV

WP-PF.1: APPROXIMATE CONSTRAINT GENERATION FOR EFFICIENT ..................................4287STRUCTURED BOOSTINGGuosheng Lin, Chunhua Shen, Anton van den Hengel, The University of Adelaide, Australia

WP-PF.2: FEATURE SELECTION USING GRAPH CUTS BASED ON RELEVANCE AND ...........4292REDUNDANCYMasato Ishii, Atsushi Sato, NEC Corporation, Japan

WP-PF.3: PLSA-BASED ZERO-SHOT LEARNING .................................................................................4297Wai Lam Hoo, Chee Seng Chan, University of Malaya, Malaysia

WP-PF.4: TRAINING BOOSTING-LIKE ALGORITHMS WITH SEMI-SUPERVISED ...................4302SUBSPACE LEARNINGJingsong Xu, Nanjing University of Science and Technology, China; Qiang Wu, Jian Zhang, University of Technology, Sydney, Australia; Fumin Shen, Zhenmin Tang, Nanjing University of Science and Technology, China

WP-PF.5: MULTIMODAL SEMI-SUPERVISED IMAGE CLASSIFICATION BY .............................4307COMBINING TAG REFINEMENT, GRAPH-BASED LEARNING AND SUPPORT VECTOR REGRESSIONWenxuan Xie, Zhiwu Lu, Yuxin Peng, Jianguo Xiao, Peking University, China

WP-PF.6: IMAGE CLASSIFICATION BASED ON BAG OF VISUAL GRAPHS .................................4312Fernanda B. Silva, Siome Goldenstein, University of Campinas, Brazil; Salvatore Tabbone, Université de Lorraine, France; Ricardo da S. Torres, University of Campinas, Brazil

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WP-PF.7: SEMI-SUPERVISED LEARNING IN TRAFFIC SCENE SURVEILLANCE ......................4317BASED ON LABEL-PROPAGATIONMeng Liang, Zhaoxiang Zhang, Yunhong Wang, Beihang University, China

WP-PF.8: VEHICLE TYPE CLASSIFICATION USING DISTRIBUTIONS OF ..................................4321STRUCTURAL AND APPEARANCE-BASED FEATURESZhen Dong, Yunde Jia, Beijing Institute of Technology, China

WP-PF.9: MAXIMUM CORRENTROPY CRITERION FOR DISCRIMINATIVE .............................4325DICTIONARY LEARNINGPengyi Hao, Sei-ichiro Kamata, Waseda University, Japan

WP-PF.10: GESTALT-INSPIRED FEATURES EXTRACTION FOR OBJECT CATEGORY ..........4330RECOGNITIONPatrycia Klavdianos, Queen Mary, University of London, United Kingdom; Alamin Mansouri, Fabrice Mériaudeau, Université de Bourgogne, France

WP-PF.11: DEPTH-EMBEDDED MULTIPLE POOLING FOR IMAGE CLASSIFICATION ...........4335Zhen Zhou, Yongzhen Huang, Liang Wang, Tieniu Tan, Institute of Automation, Chinese Academy of Sciences, China

WP-PF.12: IMAGE CLASSIFICATION USING OBJECT DETECTORS ..............................................4340Thibaut Durand, Nicolas Thome, Matthieu Cord, Université Pierre et Marie Curie, UPMC-Sorbonne Universities, Laboratoire Informatique de Paris 6, France; Sandra Avila, Université Pierre et Marie Curie, UPMC-Sorbonne Universities, Laboratoire Informatique de Paris 6; and Federal University of Minas Gerais, NPDI Lab, France

WP-PF.13: DISCRIMINATIVE HIGH-LEVEL REPRESENTATIONS FOR SCENE .........................4345CLASSIFICATIONLei Zhang, Shouzhi Xie, Harbin Engineering University, China; Xiantong Zhen, The University of Sheffield, United Kingdom

WP-PF.14: A LARGE-SCALE SOLAR IMAGE DATASET WITH LABELED EVENT .....................4349REGIONSMichael Schuh, Rafal Angryk, Karthik Ganesan Pillai, Juan Banda, Petrus Martens, Montana State University, United States

WP-PG: MULTIMEDIA ANALYSIS AND RETRIEVAL II

WP-PG.1: ACTION RECOGNITION USING BAG OF FEATURES EXTRACTED FROM A ..........4354BEAM OF TRAJECTORIESThanh Phuong Nguyen, Antoine Manzanera, ENSTA Paristech, France

WP-PG.2: GRAPH CUTS BASED RELEVANCE FEEDBACK IN IMAGE RETRIEVAL ..................4358Lelin Zhang, Sidong Liu, Zhiyong Wang, Weidong Cai, Yang Song, David Dagan Feng, The University of Sydney, Australia

WP-PG.3: ROBUST FEATURE SELECTION WITH SELF-MATCHING SCORE ..............................4363Xin Xin, Northwestern University, United States; Zhu Li, Zhan Ma, Aggelos K. Katsaggelos, Samsung Research America, United States

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WP-PG.4: IMPROVING LARGE-SCALE FACE IMAGE RETRIEVAL USING ................................4367MULTI-LEVEL FEATURESXiaojing Chen, Le An, Bir Bhanu, University of California, Riverside, United States

WP-PG.5: VIDEO EVENT RECOUNTING USING MIXTURE SUBCLASS ........................................4372DISCRIMINANT ANALYSISNikolaos Gkalelis, Vasileios Mezaris, Ioannis Kompatsiaris, Centre for Research and Technology Hellas, Greece; Tania Stathaki, Imperial College London, Greece

WP-PG.6: MEASURING THE SEMANTIC GAP BASED ON A COMMUNICATION ......................4377CHANNEL MODELReza Bahmanyar, Mihai Datcu, German Aerospace Center (DLR), Germany

WP-PG.7: BROWSING IMAGE DATABASE USING NETWORK SPANNERS...................................4382Raghavendra Singh, IBM Research India, India

WP-PG.8: ACTION RECOGNITION BY ORTHOGONALIZED SUBSPACES OF LOCAL .............4387SPATIO-TEMPORAL FEATURESBisser Raytchev, Ryosuke Shigenaka, Toru Tamaki, Kazufumi Kaneda, Hiroshima University, Japan

WP-PG.9: EYE-TRACKER BASED PART-IMAGE SELECTION FOR IMAGE RETRIEVAL ........4392Christian Schulze, German Research Center for Artificial Intelligence, Germany; Robby Frister, Helmholtz Center for Environmental Research, Germany; Faisal Shafait, University of Western Australia, Australia

WP-PG.10: AN EXTRACTION METHOD OF HIERARCHICAL WEB COMMUNITIES ................4397FOR WEB VIDEO RETRIEVALRyosuke Harakawa, Yasutaka Hatakeyama, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan

WP-PG.11: PERCEPTUAL HASHING OF COLOR IMAGES USING HYPERCOMPLEX ..............4402REPRESENTATIONSIssam Laradji, Lahouari Ghouti, El-Hebri Khiari, King Fahd University of Petroleum and Minerals, Saudi Arabia

WP-PG.12: FAST EXHAUSTIVE-SEARCH EQUIVALENT PATTERN MATCHING ......................4407THROUGH HIERARCHICAL PARTITIONINGMohamed Yousef, Khaled Hussain, Assiut University, Egypt

WP-PG.13: VISUAL RHYTHM-BASED TIME SERIES ANALYSIS FOR PHENOLOGY ................4412STUDIESJurandy Almeida, Jefersson Santos, University of Campinas, Brazil; Bruna Alberton, Leonor Patricia Morellato, Sao Paulo State University, Brazil; Ricardo da S. Torres, University of Campinas, Brazil

WP-PG.14: MOBILE PLANT LEAF IDENTIFICATION USING SMART-PHONES ..........................4417Bin Wang, Nanjing University of Finance and Economics, China; Douglas Brown, Yongsheng Gao, Griffith University, Australia; John La Salle, Atlas of Living Australia, Australia