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PROCEEDINGS
2000 International Conferenceon Image Processing
/1
/
/Volume III of III
September 10-13 , 2000Vancouver Convention & Exposition Centre
Vancouver, British Columbia, Canada
Sponsored by
The Institute of Electrical and Electronics Engineers Signal Processing Society
S/gna/Processmg Soc/ety v ^ ////
TABLE OF CONTENTSVolume III
WA01: SECOND GENERATION DIGITAL WATERMARKINGMETHODS
INFORMED EMBEDDING: EXPLOITING IMAGE AND DETECTOR INFORMATION HI - 1DURING WATERMARK INSERTIONM. Miller, 1. Cox, J. Bloom, NEC Research Institute, USA
A DWT-BASED OBJECT WATERMARKING SYSTEM FOR MPEG-4 VIDEO STREAMS .. Ill - 5A. Piva, R. Caldelli, A. De Rosa, Universitd di Firenze, Italy
FOURIER DESCRIPTORS WATERMARKING OF VECTOR GRAPHICS IMAGES Ill - 9V. Solachidis, N. Nikolaidis, 1. Pitas, Aristotle University of Thessaloniki, Greece
OBLIVIOUS COCKTAIL WATERMARKING BY SPARSE CODE SHRINKAGE: A Ill - 13REGIONAL- AND GLOBAL-BASED SCHEMEC.-S. Lu, H.-Y. Liao, Academia Sinica, Taiwan
ROBUSTNESS OF A BLIND IMAGE WATERMARKING SCHEME Ill - 17J. Eggers, J. Su, University of Erlangen-Nuremberg, Germany , B. Girod, Stanford University, USA
ROBUSTNESS OF AN ASYMMETRIC WATERMARKING TECHNIQUE Ill - 21T. Furon, Thomson Multimedia, France, P. Duhamel, Ecole Nationale Superieure des Telecommunication deParis, France
CHANNEL CODING IN VIDEO WATERMARKING: USE OF SOFT DECODING TO HI - 25IMPROVE THE WATERMARK RETRIEVALS. Baudry, P. Nguyen, Thomson CSF Communications, France , H. Maitre, ENST, France
DIGITAL WATERMARKING USING COMPLEX WAVELETS Ill - 29P. Loo, N. Kingsbury, University of Cambridge, United Kingdom
WA02: IMAGE CONTENT EXTRACTION AND DESCRIPTION FORMULTIMEDIA
MULTIMEDIA UNDERSTANDING: CHALLENGES IN THE NEW MILLENNIUM Ill - 33M. Naphade, T. Huang, University of Illinois at Urbana-Champaign, USA
FRAMING THROUGH PERIPHERAL PERCEPTION Ill - 38B. Clarkson, A. Pentland, MIT, USA
A HIERARCHICAL CHARACTERIZATION SCHEME FOR IMAGE RETRIEVAL HI - 42W. Liu, Microsoft Research, China, T. Wang, Tsinghua University, China, H. Zhang, Microsoft Research,China
EXPERIMENTS IN CONSTRUCTING BELIEF NETWORKS FOR IMAGE Ill - 46CLASSIFICATION SYSTEMSS. Paek, S. Chang, Columbia University, USA
3D MODEL ENHANCED FACE RECOGNITION Ill - 50W. Zhao, Sarnoff Corporation, USA, R. Chellappa, University of Maryland, USA
CHARACTERIZATION OF PERCEPTUAL IMPORTANCE FOR OBJECT-BASED Ill - 54IMAGE SEGMENTATIONH. Wong, L. Guan, University of Sydney, Australia
DYNAMIC RESOURCE ALLOCATION VIA VIDEO CONTENT AND SHORT-TERM HI - 58TRAFFIC STATISTICSM. Wu, R. Joyce, S. Kung, Princeton University, USA
SOURCE MODELS FOR CONTENT-BASED VIDEO CODING Ill - 62J. Ostermann, AT&T Labs - Research, USA, M. Kampmann, Universitdt Hannover, Germany
WA03: VIDEO OBJECT TRACKING
TOPOLOGY-INDEPENDENT REGION TRACKING WITH LEVEL SETS Ill - 66A.-R. Mansouri, A. Olivier, J. Konrad, INRS-Telecommunications, Canada
MEAN SHIFT AND OPTIMAL PREDICTION FOR EFFICIENT OBJECT TRACKING HI - 70D. Comaniciu, V. Ramesh, Siemens Corporate Research, USA
OBJECT TRACKING BY ADAPTIVE MODELING Ill - 74A. Rares, M. Reinders, Delft University of Technology, The Netherlands
A MULTI-FRACTAL FORMALISM FOR STABILIZATION, OBJECT DETECTION AND... Ill - 78TRACKING IN FLIR SEQUENCESH. Shekarforoush, R. Chellappa, University of Maryland, USA
ROBUST SHAPE TRACKING IN THE PRESENCE OF CLUTTERED BACKGROUND Ill - 82J. Nascimento, J. Marques, Instituto Superior Tecnico, Portugal
HIERARCHICAL MODEL BASED HUMAN MOTION TRACKING Ill - 86Y. Zhuang, Q. Zhu, Y. Pan, X. Liu, Zhejiang University, China
MULTIFRAME BAYESIAN TRACKING OF CLUTTERED TARGETS WITH RANDOM Ill - 90MOTIONM. Bruno, University of Sao Paulo, Brazil, J- Moura, Massachusetts Institute of Technology, USA
OBJECT TRACKING WITH SHAPE REPRESENTATION NETWORK USING COLOR Ill - 94INFORMATIONY. Matsuzawa, I. Kumazawa, Tokyo Institute of Technology, Japan
WA04: ARCHITECTURES AND SOFTWARE
PERFORMANCE ANALYSIS OF AN H.263 VIDEO ENCODER FOR VIRAM Ill - 98T. Nguyen, A. Zakhor, K. Yelick, University of California, Berkeley, USA
TRANSPOSE MEMORY FOR VIDEO RATE JPEG COMPRESSION ON HIGHLY Ill - 102PARALLEL SINGLE-CHIP DIGITAL CMOS IMAGERJ. Hsieh, Stanford University, USA, A. van der Avoird, R. Kleihorst, Philips Research Laboratories, TheNetherlands, T. Meng, Stanford University, USA
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DYNAMIC MEMORY MODEL BASED OPTIMIZATION OF SCALAR AND VECTOR Ill - 106QUANTIZER FOR FAST IMAGE ENCODINGG. Cheung, S. McCanne, University of California, Berkeley, USA
RECONFIGURABLE HARDWARE FOR REAL TIME IMAGE PROCESSING Ill - 110L. Kessal, D. Demigny, N. Boudouani, R. Bourgiba, Cergy-Pontoise University, France
A FAST 2-D DCT ALGORITHM VIA DISTRIBUTED ARITHMETIC OPTIMIZATION HI - 114W. Pan, University of Southern California, USA
MOTION ESTIMATION WITH POWER SCALABILITY AND ITS VHDL MODEL HI - 118A. Takagi, Tokyo Metropolitan University, Japan, S. Muramatsu, Niigata University, Japan, H. Kiya,Tokyo Metropolitan University, Japan
IMAGE AND VIDEO PROCESSING USING MAJC 5200 Ill - 122S. Sudharsanan, P. Sriram, H. Frederickson, A. Gulati, Sun Microsystems, Inc., USA
VLSI IMPLEMENTATION OF A REDUCED MEMORY BANDWIDTH REALTIME EZW.. . IH - 126VIDEO CODERY. Dong, R. Omaki, Osaka University, Japan, T. Oneye, Kyoto University, Japan, I. Shirakawa, OsakaUniversity, Japan
WA05: MOTION COMPENSATED VIDEO CODING
A NEW MOTION COMPENSATION ON A WAVELET TRANSFORM DOMAIN Ill - 130S. Joo, H. Kikuchi, Niigata University, Japan
CODE EXCITED PEL-RECURSIVE MOTION COMPENSATED VIDEO CODING HI - 134J. Shen, W.-Y. Chan, Illinois Institute of Technology, USA
MODEL-AIDED CODING: USING 3-D SCENE MODELS IN MOTION-COMPENSATED ... Ill - 138VIDEO CODINGP. Eisert, T. Wiegand, University of Erlangen-Nuremberg, Germany, B. Girod, Stanford University, USA
HIERARCHICAL WAVELET VIDEO CODING USING WARPING PREDICTION HI - 142M. Wien, Rheinisch-Westfdlische Technische Hochschule, Germany
MODELING AND CODING OF DFD USING DENSE MOTION FIELDS IN VIDEO Ill - 146COMPRESSIONS.-C. Han, C-Cube Microsystems, USA, C. Podilchuk, Bell Laboratories, Lucent Technologies, USA
RATE-CONSTRAINED MULTI-HYPOTHESIS MOTION-COMPENSATED PREDICTION... HI - 150FOR VIDEO CODINGM. Flierl, T. Wiegand, University of Erlangen-Nuremberg, Germany, B. Girod, Stanford University, USA
A RATE-DISTORTION APPROACH TO WAVELET-BASED ENCODING OF Ill - 154PREDICTIVE ERROR FRAMESE. Asbun, Purdue University, USA, P. Salama, Indiana University and Purdue University, USA, E. Delp,Purdue University, USA
ANALYSIS OF SPACE-DEPENDENT CHARACTERISTICS OF Ill - 158MOTION-COMPENSATED FRAME DIFFERENCESIV. Zheng, Y. Kanatsugu, NHK Science and Technical Research Laboratories, Japan, S. Itoh, ScienceUniversity of Tokyo, Japan, Y. Tanaka, NHK Science and Technical Research Laboratories, Japan
Hi
WA06: WAVELET IMAGE CODING II
AN EFFICIENT EMBEDDED ZEROTREE WAVELET IMAGE CODEC BASED ON HI - 162INTRABAND PARTITIONINGZ. Liu, L. Karam, Arizona State University, USA
OPTIMAL QUANTIZATION ERROR FEEDBACK FILTERS FOR WAVELET IMAGE Ill - 166COMPRESSIONZ. He, S. Mitra, University of California, USA
BLOCKWISE ZERO MAPPING IMAGE CODING Ill - 170Z. He, T.-H. Yu, S. Mitra, University of California, USA
SIMPLE AND EFFICIENT WAVELET IMAGE COMPRESSION Ill - 174T.-H. Yu, Z. He, S. Mitra, University of California, USA
INTRA AND INTER-BAND INFORMATION EVALUATION IN STILL IMAGE CODING ... HI - 178BY MEANS OF THE WAVELET TRANSFORM.S. Maldonado-Bascon, F. Lopez-Ferreras, F. Acevedo-Rodriguez, H. Gomez-Moreno, Alcala de HenaresUniversity, Spain
ADAPTIVE SCANNING METHODS FOR WAVELET DIFFERENCE REDUCTION IN Ill - 182LOSSY IMAGE COMPRESSIONJ. Walker, University of Wisconsin-Eau Claire, USA, T. Nguyen, Boston University, USA
VISUAL EMBEDDING OF WAVELET TRANSFORM COEFFICIENTS Ill - 186D. Monro, University of Bath, United Kingdom, J.-L. Aufranc, Institute National Polytechnique de Grenoble,France, E. Poh, M. Bowers, University of Bath, United Kingdom
EVALUATION OF A QUINCUNX WAVELET FILTER DESIGN APPROACH FOR Ill - 190QUADTREE-BASED EMBEDDED IMAGE CODINGG. Van der Auwera, A. Munteanu, J. Cornells, University of Brussels, Belgium
SCALABLE IMAGE CODING WITH PROJECTION-BASED CONTEXT MODELING HI - 194A. Deever, S. Hemami, Cornell University, USA
A NEW RESOLUTION PROGRESSIVE CODING SCHEME USING A SORTING HI - 198ALGORITHMT. Takahara, M. Okuda, M. Ikehara, S. Takahashi, Keio University, Japan
REGION-BASED SUBBAND/WAVELET IMAGE CODING Ill -202P. Chen, J. Woods, Rensselaer Polytechnic Institute, USA
FINITE PRECISION WAVELETS FOR IMAGE CODING: LOSSY AND LOSSLESS HI - 206COMPRESSION PERFORMANCE EVALUATIONM. Grangetto, E. Magli, G. Olmo, Politecnico di Torino, Italy
WA07: MULTIMEDIA APPLICATIONS
ROBUST HEAD POSE ESTIMATION BY MACHINE LEARNING Ill - 210C. Wang, M. Brandstein, Harvard University, USA
FUSING AUDIO AND VISUAL FEATURES OF SPEECH Ill - 214H. Pan, Z.-P. Liang, T. Huang, University of Illinois at Urbana-Champaign, USA
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PROPOSAL OF REAL WORLD VIDEO STREAM DESCRIPTION Ill - 218LANGUAGE(VSDL-RW) AND ITS APPLICATIONY. Cao, W. Zhang, Y. Yaginuma, M. Sakauchi, University of Tokyo, Japan
PARISS: PANORAMIC, ADAPTIVE AND RECONFIGURABLE INTERFACE FOR Ill - 222SIMILARITY SEARCHG. Frederix, Kathollieke Universiteit Leuven, Belgium, G. Caenen, Kathollieke Universiteit Leuven ,Belgium, E. Pauwels, Kathollieke Universiteit Leuven and Centre for Mathematics and Computer Science,Belgium
LIP FEATURE EXTRACTION TOWARDS AN AUTOMATIC SPEECHREADING HI - 226SYSTEMX. Zhang, R. Mersereau, Georgia Institute of Technology, USA
HIGHER-ORDER SPECTRAL ANALYSIS OF HUMAN MOTION Ill - 230A. Rajagopalan, R. Chellappa, University of Maryland, USA
NORMALIZED TRAINING FOR HMM-BASED VISUAL SPEECH RECOGNITION Ill - 234Y. Nankaku, K. Tokuda, T. Kitamura, Nagoya Institute of Technology, Japan, T. Kobayashi, TokyoInstitute of Technology, Japan
INDIVIDUAL 3D FACE SYNTHESIS BASED ON ORTHOGONAL PHOTOS AND Ill - 238SPEECH-DRIVEN FACIAL ANIMATIONS. Shan, Chinese Academy of Sciences, China, W. Gao, Chinese Academy of Sciences and Harbin Instituteof Technology, China, J. Yan, Microsoft Research, China, H. Zhang, X. Chen, Harbin Institute ofTechnology, China
A VISUAL TRACKING SYSTEM FOR SPORTS VIDEO ANNOTATION IN Ill - 242UNCONSTRAINED ENVIRONMENTSA. Tomita, T. Echigo, M. Kurokawa, IBM Research, Tokyo Research Laboratory, Japan, H. Miyamori, S.-I.Iisaku, Ministry of Posts and Telecommunications, Japan
INTERACTIVE DVD PROGRAMMING USING NEXT GENERATION CONTENT-BASED.. Ill - 246ENCODED MULTIMEDIA DATAK. Pronina, R. Ward, P. Nasiopoulos, University of British Columbia, Canada
RECURSIVE PROPAGATION OF CORRESPONDENCES WITH APPLICATIONS TO HI - 250THE CREATION OF VIRTUAL VIDEOR. Radke, P. Ramadge, S. Kulkarni, Princeton University, USA, T. Echigo, IBM Research, Tokyo ResearchLaboratory, Japan, S.-I. Iisaku, Ministry of Posts and Telecommunications, Japan
WA08: IMAGE DENOISING
COMPLEXITY-REGULARIZED DENOISING OF POISSON-CORRUPTED DATA Ill - 254J. Liu, P. Moulin, University of Illinois at Urbana-Champaign, USA
WAVELET-BASED IMAGE DENOISING USING HIDDEN MARKOV MODELS Ill - 258G. Fan, X.-G. Xia, University of Delaware, USA
IMAGE DENOISING USING WAVELET THRESHOLDING AND MODEL SELECTION Ill - 262S. Zhong, University of Texas at Austin, USA, V. Cherkassky, University of Minnesota, Twins Cities,USA
NONLINEAR FILTERING IN THE WAVELET TRANSFORM DOMAIN Ill - 266Y. Hawwar, A. Reza, University of Wisconsin-Milwaukee, USA
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SHIFT INVARIANT RESTORATION - AN OVERCOMPLETE MAXENT MAP HI - 270FRAMEWORKP. Ishwar, P. Moulin, University of Illinois at Urbana-Champaign, USA
A NEW RESTORATION METHOD AND ITS APPLICATION TO SPECKLE IMAGES Ill - 273/. Duskunovic, G. Stippel, A. Pizurica, W. Philips, I. Lemahieu, University of Gent, Belgium
IMAGE DENOISING VIA ADJUSTMENT OF WAVELET COEFFICIENT MAGNITUDE .. . . Ill - 277CORRELATIONJ. Portilla, E. Simoncelli, New York University, USA
AN INNOVATIVE APPROACH FOR SPATIAL VIDEO NOISE REDUCTION USING A Ill - 281WAVELET BASED FREQUENCY DECOMPOSITIONA. De Stefano, P. White, W. Collis, University of Southampton, United Kingdom
NONLINEAR FILTERING IMPULSE NOISE REMOVAL FROM CORRUPTED IMAGES... HI - 285D. Zhang, Z. Shi, H. Wang, D. Kouri, University of Houston, USA, D. Hoffman, Iowa State University,USA
IMAGE DENOISING USING SCALE-ADAPTIVE LIFTING SCHEMES Ill - 288J. Stepien, T. Zielinski, R. Rumian, Stanislaw Staszic University of Mining & Metallurgy, Poland
IMAGE DENOISING USING DIRECTIONAL FILTER BANKS Ill - 292J. Rosiles, M. Smith, Georgia Institute of Technology, USA
A WAVELET-BASED IMAGE DENOISING TECHNIQUE USING SPATIAL PRIORS HI - 296A. Pizurica, W. Philips, I. Lemahieu, Ghent University, Belgium, M. Acheroy, Royal Military School,Belgium
SPATIALLY ADAPTIVE IMAGE DENOISING UNDER OVERCOMPLETE EXPANSION... HI - 300X. Li, M. Orchard, Princeton University, USA
MODELLING THE AUTOCORRELATION OF WAVELET COEFFICIENTS FOR IMAGE... HI - 304DENOISINGH. Zhang, Rice University, USA, A. Nosratinia, University of Texas at Dallas, USA, R. Wells, RiceUniversity, USA
WA09: NEURAL NETWORKS, ADAPTIVE AND FUZZY PROCESSING
A LOW-LEVEL CORTICAL PERCEPTION MODEL WITH APPLICATIONS TO IMAGE... HI - 308ANALYSIS/. Gorodnitsky, J. Hershey, University of California, San Diego, USA
AN ENTROPY MINIMIZATION PRINCIPLE FOR SEMI-SUPERVISED TERRAIN Ill - 312CLASSIFICATIONA. Guerrero-Curieses, J. Cid-Sueiro, Universidad Carlos 111 de Madrid, Spain
EFFICIENT HIGH-ORDER IMAGE SUBSAMPLING USING FANNS. Ill - 316A. Dumitras, F. Kossentini, University of British Columbia, Canada
HIERARCHICAL IMAGE PROBABILITY (HIP) MODELS Ill - 320C. Spence, L. Parra, P. Sajda, Sarnoff Corporation, USA
FUZZY REPRESENTATION AND GROUPING IN BUILDING DETECTION Ill - 324S. Levitt, F. Aghdasi, University of the Witwatersrand, South Africa
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COMPOUND PCA-ICA NEURAL NETWORK MODEL FOR ENHANCEMENT AND . . . . I I I - 328FEATURE EXTRACTION OF MULTI-FREQUENCY POLARIMETRIC SAR IMAGERYS. Chitroub, A. Houacine, B. Sansal, University of Sciences & Technology ofHouari Boumedienne, Algeria
MATCHING LINES AND POINTS IN AN ACTIVE STEREO VISION SYSTEM USING Ill - 332GENETIC ALGORITHMSS. Woo, A. Dipanda, Universite de Bourgogne, France
GENERALIZED NEURAL TREES FOR OUTDOOR SCENE UNDERSTANDING Ill - 336G. Foresti, W. Vanzella, University of Udine, Italy
EVALUATING THE QUALITY OF PELLET COMPONENT BY USING IMAGE Ill - 340PROCESSING TECHNIQUE WITH NEURAL NETWORKSN. Zeng, K. Taniguchi, Fukui University, Japan, H. Yamamoto, T. Konaka, SYSMEX Corp., Japan, S.Watanabe, Y. Nakano, Fukui University, Japan
AN APPEARANCE BASED NEURAL IMAGE PROCESSING ALGORITHM FOR 3-D Ill - 344OBJECT RECOGNITIONC. Yuan, H. Niemann, University of Erlangen-Nuremberg, Germany
COLOR IMAGE SEGMENTATION BASED ON FUZZY MATHEMATICAL Ill - 348MORPHOLOGYA. Gillet, L. Macaire, C. Botte-Lecocq, J.-G. Postaire, Universite des Sciences et Technologies de Lille,France
WA10: ERROR RESILIENT CODING AND ERROR CONCEALMENT
ERROR-RESILIENT VIDEO COMPRESSION THROUGH THE USE OF MULTIPLE HI - 352STATESJ. Apostolopoulos, Hewlett Packard Laboratories, USA
WORST-CASE CRITERION FOR CONTENT-BASED ERROR-RESILIENT VIDEO HI - 356CODINGW.-H. Chen, J.-N. Hwang, H.-F. Hsiao, University of Washington, USA
CONSTRUCTION OF ERROR RESILIENT SYNCHRONIZATION CODEWORD FOR Ill - 360VARIABLE-LENGTH CODE IN IMAGE TRANSMISSIONY.-S. Lee, W.-S. Chang, H.-H. Ho, C.-Y. Lee, National Chiao-Tung University, Taiwan
AN ERROR RESILIENT CODING TECHNIQUE FOR JPEG2000 Ill - 364H. Man, Stevens Institute of Technology, USA, F. Kossentini, University of British Columbia, Canada, M.Smith, Georgia Institute of Technology, USA
LAPPED ORTHOGONAL TRANSFORM DESIGNED FOR ERROR RESILIENT IMAGE.... HI - 368CODINGD. Chung, Y. Wang, Polytechnic University, USA
PACKET-LOSS RESILIENT INTERNET VIDEO USING MPEG-4 FINE GRANULAR HI - 372SCALABILITYM. van der Schaar, H. Radha, Philips Research, USA
ON THE PERFORMANCE OF TEMPORAL ERROR CONCEALMENT FOR Ill - 376LONG-TERM MOTION-COMPENSATED PREDICTIONM. Al-Mualla, C. Canagarajah, D. Bull, University of Bristol, United Kingdom
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SWITCHED ERROR CONCEALMENT AND ROBUST CODING DECISIONS IN Ill - 380SCALABLE VIDEO CODINGR. Zhang, S. Regunathan, K. Rose, University of California, Santa Barbara, USA
ROBUST ERROR CONCEALMENT ALGORITHM USING ITERATIVE WEIGHTED HI - 384BOUNDARY MATCHING CRITERIONY. Jung, Y.-G. Kim, Y. Choe, Yonsei University, South Korea
AN EFFICIENT, SIMILARITY-BASED ERROR CONCEALMENT METHOD FOR Ill - 388BLOCK-BASED CODED IMAGES/. lsmaeil, S. Shirani, F. Kossentini, R. Ward, University of British Columbia, Canada
ADAPTIVE POST-PROCESSING ERROR CONCEALMENT BASED ON FEEDBACK Ill - 392FROM A VIDEO-SURVEILLANCE SYSTEMF. Granelli, F. Oberti, C. Regazzoni, University of Genoa, Italy
BACKWARD TRACKING OF B-PICTURES BIDIRECTIONAL MOTION FOR HI - 396INTERFRAME CONCEALMENT OF ANCHOR PICTUREST. Shanableh, M. Ghanbari, University of Essex, United Kingdom
PRIORITY DROPPING IN NETWORK TRANSMISSION OF SCALABLE VIDEO Ill - 400T. Tian, A. Li, University of California, Los Angeles, USA, J. Wen, PacketVideo Corporation, USA, J.Villasenor, University of California, Los Angeles, USA
WA11: MEDICAL IMAGE ANALYSIS
SEGMENTING SKIN LESIONS WITH PARTIAL DIFFERENTIAL EQUATIONS BASED... HI - 404IMAGE PROCESSING ALGORITHMSD. Chung, G. Sapiro, University of Minnesota, USA
A NOVEL MULTIRESOLUTION COLOR IMAGE SEGMENTATION TECHNIQUE AND.... HI - 408ITS APPLICATION TO DERMATOSCOPIC IMAGE SEGMENTATIONJ. Gao, J. Zhang, University of Wisconsin-Milwaukee, USA, M. Fleming, Medical College of Wisconsin,USA
ROBUST SPOT FITTING FOR GENETIC SPOT ARRAY IMAGES Ill - 412H.-Y. Chen, N. Braendle, Pattern Recognition and Image Processing Group, Austria, H. Bischof ViennaUniversity of Technology, Austria, H. Lapp, Novartis Research Institute, Vienna, Austria
MAMMOGRAPHIC IMAGE SEGMENTATION USING A TISSUE-MIXTURE MODEL Ill - 416AND MARKOV RANDOM FIELDSG. McGarry, M. Deriche, Queensland University of Technology, Australia
ULTRASOUND IMAGING SIMULATION AND ECHOCARDIOGRAPHIC IMAGE Ill - 420SYNTHESISM. Song, R. Haralick, F. Sheehan, University of Washington, USA
SURROUNDING STRUCTURES ANALYSIS OF PULMONARY NODULES USING Ill - 424DIFFERENTIAL GEOMETRY BASED VECTOR FIELDSY. Kawata, N. Niki, University ofTokushima, Japan, H. Ohmatsu, National Cancer Center East, Japan, M.Kusumoto, National Cancer Center, Japan, R. Kakinuma, National Cancer Center East, Japan, K. Mori,Tochigi Cancer Center, Japan, H. Nishiyama, The Social Health Medical Center, Japan, K. Eguchi, NationalShikoku Cancer Center, Japan, M. Kaneko, N. Moriyama, National Cancer Center, Japan
MODELING AND RESTORATION OF RAMAN MICROSCOPIC IMAGES Ill - 428J. Ling, Southwest Research Institute, USA, A. Bovik, University of Texas at Austin, USA
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TUMOR DETECTION IN DIGITAL MAMMOGRAMS HI - 432A. Banerjee, R. Chellappa, University of Maryland, USA, P. Burlina, ImageCorp, Inc., USA
ACCURATE DETECTION OF 3D TUBULAR TREE STRUCTURES Ill - 436N. Flasque, M. Desvignes, GREYC-ISMRA, France, J.-M. Constans, Service d'IRM - CHU de Caen,France, M. Revenu, GREYC-ISMRA, France
AUTOMATED 3D REGION GROWING ALGORITHM GOVERNED BY AN Ill - 440EVALUATION FUNCTIONC. Revol-Muller, CREAT1S, CNRS, France, F. Peyrin, CREATIS, CNRS and ESRE, France, C. Odet,CREATIS, CNRS, France, Y. Carillon, CNRS, France
THE LAPLACE INTEGRAL FOR A WATERSHED SEGMENTATION Ill - 444T. Blaffert, S. Dippel, M. Stahl, R. Wiemker, Philips Research Hamburg, Germany
A GRADIENT MAGNITUDE BASED REGION GROWING ALGORITHM FOR Ill - 448ACCURATE SEGMENTATIONM. Sato, S. Lakare, M. Wan, A. Kaufman, State University of New York at Stony Brook, USA, M.Nakajima, Tokyo Institute of Technology, Japan
INTERACTIVE SEGMENTATION OF BIOMEDICAL IMAGES AND VOLUMES USING.... HI - 452CONNECTED OPERATORSS. Benini, E. Boniotti, R. Leonardi, A. Signoroni, University of Brescia, Italy
WA12: COLOR AND MULTISPECTRAL IMAGE PROCESSING
A SPECTRAL MODEL FOR HALFTONE COLOR PREDICTION Ill - 456U. Agar, Hewlett Packard, USA
BLOCK COLOR QUANTIZATION: A NEW METHOD FOR COLOR HALFTONING :.. HI - 460M. Gupta, M. Gormish, S. Stork, Ricoh Silicon Valley, Inc., USA
SPOT SATELLITE DATA ANALYSIS FOR BATHYMETRIC MAPPING Ill - 464C. Collet, J.-N. Provost, P. Rostaing, French Naval Academy, France, P. Perez, P. Bouthemy,IR1SA/1NR1A, France
MULTI-BANDS IMAGE SEGMENTATION: A SCALAR APPROACH HI - 468C. Kermad, K. Chehdi, University of Rennes I, France
FUSION CLASSIFICATION OF HYPERSPECTRAL IMAGE BASED ON ADAPTIVE Ill - 472SUBSPACE DECOMPOSITIONJ. Zhang, Y. Zhang, B. Zou, T. Zhou, Harbin Institute of Technology, China
AN EFFICIENT COLOR RE-INDEXING SCHEME FOR PALETTE-BASED Ill - 476COMPRESSIONW. Zeng, Sharp Laboratories of America, USA, J. Li, Microsoft Research, Beijing, China, S. Lei, SharpLaboratories of America, USA
COLOR BASED VIDEO SEGMENTATION USING LEVEL SETS HI - 480P. Harper, R. Reilly, University College, Ireland
IMPROVED MULTI-IMAGE RESOLUTION ENHANCEMENT FOR COLOUR IMAGES HI - 484CAPTURED BY SINGLE-CCD CAMERASD. Messing, M. Sezan, Sharp Laboratories of America, USA
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EFFECTIVE COLOR INTERPOLATION IN CCD COLOR FILTER ARRAY USING HI - 488SIGNAL CORRELATIONS.-C. Pei, l.-K. Tarn, National Taiwan University, Taiwan
LOCALIZATION OF COLORED OBJECTS Ill - 492D. Paulus, Universitdt Erlangen-Ntimberg, Germany, K. Horecki, K. Wojciechowski, Schlesische TechnischeUniversitat, Poland
USE OF DECISION TREES IN COLOUR FEATURE SELECTION. APPLICATION TO HI - 496OBJECT RECOGNITION IN OUTDOOR SCENESJ. Freixenet, X. Llado, J. Marti, X. Cufi, University of Girona, Spain
FILTERING COLOR IMAGES IN THE XYY COLOR SPACE Ill - 500L. Lucchese, University of California at Santa Barbara, USA and Universita' di Padova, Italy, S. Mitra,University of California at Santa Barbara, USA
WP01: SEMANTIC FEATURE EXTRACTION IN CONSUMERCONTENTS
A HISTOGRAM-BASED METHOD FOR DETECTION OF FACES AND CARS Ill - 504H. Schneiderman, T. Kanade, Carnegie Mellon University, USA
GENERATING VIDEO OBJECTS BY MULTIPLE-VIEW EXTENSIVE PARTITION HI - 508LATTICE OPERATORSD. Gatica-Perez, M.-T. Sun, University of Washington, USA, C. Gu, Microsoft Corporation, USA
ON THE APPLICATION OF BAYES NETWORKS TO SEMANTIC UNDERSTANDING HI - 512OF CONSUMER PHOTOGRAPHSJ. Luo, Eastman Kodak Company, USA, A. Savakis, Rochester Institute of Technology, USA, S. Etz,Eastman Kodak Company, USA, A. Singhal, University of Rochester, USA
SEMANTICS-BASED RETRIEVAL BY CONTENT HI - 516A. Del Bimbo, University of Florence, Italy
INTEGRATING VISUAL, AUDIO AND TEXT ANALYSIS FOR NEWS VIDEO Ill - 520W. Qi, L. Gu, H. Jiang, X.-R. Chen, H. Zhang, Microsoft Research, China
SCENE ANALYSIS AND ORGANIZATION OF BEHAVIOR IN DRIVER ASSISTANCE.... HI - 524SYSTEMSW. von Seelen, C. Curio, J. Gayko, U. Handmann, T. Kalinke, Ruhr-Universitdt Bochum, Germany
DISCOVERING RECURRENT VISUAL SEMANTICS IN CONSUMER PHOTOGRAPHS... Ill - 528A. Jaimes, A. Benitez, S.-F. Chang, Columbia University, USA, A. Loui, Eastman Kodak Company, USA
WP02: IMAGE AND VIDEO NETWORKS
HYBRID SENDER AND RECEIVER DRIVEN RATE CONTROL IN MULTICAST Ill - 532LAYERED VIDEO TRANSMISSIONF. Le Leannec, J. Vieron, X. Henocq, C. Guillemot, IRISA/1NRIA, France
RELATIVE PRIORITY BASED QOS INTERACTION BETWEEN VIDEO Ill - 536APPLICATIONS AND DIFFERENTIATED SERVICE NETWORKSJ. Shin, J. Kim, C.-C. Kuo, University of Southern California, USA
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VIDEO MULTICAST OVER FAIR QUEUEING NETWORKS HI - 540S. Servetto, M. Vetterli, LCAV - EPFL, Switzerland
ROBUST H.263+ VIDEO FOR REAL-TIME INTERNET APPLICATIONS Ill - 544J. Chung-How, D. Bull, University of Bristol, United Kingdom
A NOVEL MPEG-4 BASED HYBRID TEMPORAL-SNR SCALABILITY FOR INTERNET.. Ill - 548VIDEOM. van der Schaar, H. Radha, Philips Research, USA
SCALABLE OBJECT-BASED VIDEO MULTICASTING OVER THE INTERNET Ill - 552H.-R. Shao, W. Zhu, Y.-Q. Zhang, Microsoft Research, China
DCT-PREDICTION BASED PROGRESSIVE FINE GRANULARITY SCALABILITY Ill - 556CODINGF. Wu, S. Li, Y.-Q. Zhang, Microsoft Research, China
ESTIMATING DECODING TIMES OF MPEG-2 VIDEO STREAMS Ill - 560L. Burchard, University of Poderborn, Germany, P. Altenbernd, C-LAB, Germany
WP03: IMAGE SEGMENTATION II
TWO-STAGE TEXTURE SEGMENTATION USING COMPLEMENTARY FEATURES Ill - 564J. Luo, Eastman Kodak Company, USA, A. Savakis, Rochester Institute of Technology, USA
MEAN FIELD ANNEALING EM FOR IMAGE SEGMENTATION Ill - 568W.-H. Cho, S.-H. Kim, Chonnam National University, South Korea, S.-Y. Park, J.-H. Park, MokpoNational University, South Korea
TEXTURED IMAGE SEGMENTATION USING MRF IN WAVELET DOMAIN Ill - 572H. Noda, Kyushu Institute of Technology, Japan, M. Shirazi, Communications Research Laboratory, Japan,E. Kawaguchi, Kyushu Institute of Technology, Japan
MULTISCALE TEXTURE SEGMENTATION USING HYBRID CONTEXTUAL Ill - 576LABELING TREEG. Fan, X.-G. Xia, University of Delaware, USA
IMAGE SEGMENTATION AND OBJECT RECOGNITION BY BAYESIAN GROUPING Ill - 580S. Kalitzin, , The Netherlands, J. Staal, B. ter Haar Romeny, M. Viergever, Image Sciences Institute, TheNetherlands
OPEN-ENDED TEXTURE CLASSIFICATION FOR TERRAIN MAPPING Ill - 584R. Paget, D. Longstaff, University of Queensland, Australia
CURVE EVOLUTION, BOUNDARY-VALUE STOCHASTIC PROCESSES, THE Ill - 588MUMFORD-SHAH PROBLEM, AND MISSING DATA APPLICATIONSA. Tsai, Massachusetts Institute of Technology, USA, A. Yezzi, Georgia Institute of Technology, USA, A.Willsky, Massachusetts Institute of Technology, USA
FAST SEGMENTATION USING LEVEL SET CURVES OF COMPLEX WAVELET Ill - 592SURFACESP. de Rivaz, N. Kingsbury, University of Cambridge, United Kingdom
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WP04: MOTION ESTIMATION III
CAMERA MOTION ESTIMATION USING FEATURE POINTS IN MPEG Ill - 596COMPRESSED DOMAINP. Kuhn, Sony Corporation, Japan
SELECTING THE NEIGHBOURHOOD SIZE, SHAPE, WEIGHTS AND MODEL ORDER... HI - 600IN OPTICAL FLOW ESTIMATIONL. Ng, MathSoft, USA, V. Solo, Macquarie University, Australia
VISUAL MOTION ESTIMATION VIA SECOND ORDER CONE PROGRAMMING Ill - 604J. Yao, DSO National Laboratories, Singapore
A NEW BLOCK-MATCHING MOTION ESTIMATION ALGORITHM BASED ON HI • 608SUCCESSIVE ELIMINATIONH. Mahmoud, M. Bayoumi, University of Louisiana at Lafayette, USA
A NOVEL AFFINE INVARIANT FEATURE SET AND ITS APPLICATION IN MOTION ... HI - 612ESTIMATIONL. Chen, ESS Technology, Singapore, Z. Lu, E. Teoh, Z. Xue, Nanyang Technological University,Singapore
ROBUST ESTIMATION OF MOTION AND STRUCTURE USING A DISCRETE Hoo Ill - 616FILTERG. Qian, A. Kale, R. Chellappa, University of Maryland, College Park, USA
HIERARCHICAL MESH-BASED GLOBAL MOTION ESTIMATION, INCLUDING Ill - 620OCCLUSION AREAS DETECTIONTV. Laurent, France Telecom , France
A FAST MOTION ESTIMATION METHOD FOR MPEG-4 ARBITRARILY SHAPED HI - 624OBJECTSK. Panusopone, X. Chen, Motorola, USA
WP05: STEREOSCOPIC AND 3-D CODING
CODING OF 3D OBJECTS USING SURFACE SIGNATURES Ill - 6285. Yamany, Old Dominion University, USA, A. Farag, University of Louisville, USA
JOINT GEOMETRY/TEXTURE PROGRESSIVE CODING OF 3D MODELS Ill - 632M. Okuda, T. Chen, Carnegie Mellon University, USA
VIDEO CODING USING STREAMED 3D REPRESENTATION HI - 636F. Galpin, L. Morin, IR1SA/1NRIA, France
EMBEDDED CODING OF STEREO IMAGES Ill - 640N. Boulgouris, Aristotle University of Thessaloniki, Greece, M. Strintzis, Aristotle University ofThessaloniki and Informatics and Telematics Institute, Greece
VIRTUAL REALITY USING THE CONCENTRIC MOSAIC: CONSTRUCTION, Ill - 644RENDERING AND DATA COMPRESSIONH. Shum, Microsoft Research, China, K.-T. Ng, S.-C. Chan, University of Hong Kong, China
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MULTICHANNEL IMAGE COMPRESSION BY BIJECTION MAPPINGS ONTO Ill - 648ZERO-TREESJ. Paredes, G. Arce, University of Delaware, USA, L. Russo, Sanders, a Lockheed Martin Company, USA
STRIPE-BASED SPIHT LOSSY COMPRESSION OF VOLUMETRIC MEDICAL . . I II - 652IMAGES FOR LOW MEMORY USAGE AND UNIFORM RECONSTRUCTION QUALITYY. Kim, W. Pearlman, Rensselaer Polytechnic Institute, USA
MULTIRATE CODING OF 3D MEDICAL DATA Ill - 656G. Menegaz, L. Grewe, LTS DE-EPFL, Switzerland, J.-P. Thiran, EPFL, Switzerland
WP06: WATERMARKING AND PROTECTION
SECURING IMAGES ONLINE: A PROTECTION MECHANISM THAT DOES NOT HI - 660INVOLVE WATERMARKINGC. Herley, Microsoft Research, USA
ROBUST IMAGE HASHING Ill - 664R. Venkatesan, Microsoft Research, USA, S.-M. Koon, University of Illinois at Urbana- Champaign, USA,M. Jakubowski, Microsoft Research, USA, P. Moulin, University of Illinois at Urbana-Champaign, USA
AN INFORMATION-THEORETIC MODEL FOR IMAGE WATERMARKING AND DATA... HI - 667HIDINGP. Moulin, M. Mihcak, G.-I. Lin, University of Illinois at Urbana-Champaign, USA
EFFECTIVE CHANNEL CODING FOR DCT WATERMARKS Ill - 671S. Pereira, S. Voloshynovskiy, T. Pun, University of Geneva, Switzerland
A VARIATIONAL APPROACH FOR DIGITAL WATERMARKING Ill - 674T.-L. Liu, H.-T. Chen, Academia Sinica, Taiwan
A WAVELET-BASED WATERMARKING FOR DIGITAL IMAGES AND VIDEO HI - 678M. Ejima, A. Miyazaki, Kyushu University, Japan
COMPARISON OF TWO WAVELET BASED IMAGE WATERMARKING SCHEMES HI - 682F. Davoine, Universite de Technologie de Compiegne, France
COMBINING VISUAL AND DETECTION MODELS IN SPREAD-SPECTRUM Ill - 686WATERMARKING/. Donescu, Canon Research Centre France, France, E. Nguyen, Canon Research Centre France S. A., France
ON DIGITAL IMAGE WATERMARKING ROBUST TO GEOMETRIC Ill - 690TRANSFORMATIONSV. Licks, R. Jordan, University of New Mexico, USA
IMAGE AUTHENTICATION AND INTEGRITY VERIFICATION VIA CONTENT-BASED... HI - 694WATERMARKS AND A PUBLIC KEY CRYPTOSYSTEMC.-T. Li, D.-C. Lou, T.-H. Chen, Chung Chen Institute of Technology, Taiwan
COLOR IMAGE WATERMARKING IN HSI SPACE Ill - 698D. Coltuc, P. Bolon, University ofSavoie, France
COPYRIGHT LABELING OF PRINTED IMAGES Ill - 702H. Hel-Or, Haifa University, Israel
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MEAN QUANTIZATION BLIND WATERMARKING FOR IMAGE AUTHENTICATION HI - 706G.-J. Yu, National Central University, Taiwan, C.-S. Lu, H.-Y. Liao, Academia Sinica, Taiwan, J.-P. Sheu,National Central University, Taiwan
MULTI-BIT IMAGE WATERMARKING ROBUST TO GEOMETRIC DISTORTIONS HI - 710A. Tefas, I. Pitas, Aristotle University of Thessaloniki, Greece
GEOMETRIC PROPERTIES OF WATERMARKING SCHEMES Ill - 714E.-C. Chang, Rutgers University, USA, M. Orchard, Princeton University, USA
WP07: IMAGE AND VIDEO DATABASES III
A NEW IMAGE SIMILARITY MEASURE BASED ON ORDINAL CORRELATION Ill - 718B. Cramariuc, I. Shmulevich, M. Gabbouj, Tampere University of Technology, Finland, A. Makela, FinnishMuseum of Photography, Finland
IMAGE RETRIEVAL BASED ON SIMILARITY LEARNING Ill - 722/. El-Naqa, M. Wernick, Y. Yang, N. Galatsanos, Illinois Institute of Technology, USA
DIMENSIONALITY REDUCTION FOR IMAGE RETRIEVAL Ill - 726P. Wu, B. Manjunath, H. Shin, University of California, Santa Barbara, USA
TEXTURE SIMILARITY MEASUREMENT USING KULLBACK-LEIBLER DISTANCE HI - 730ON WAVELET SUBBANDSM. Do, Swiss Federal Institute of Technology Lausanne, Switzerland, M. Vetterli, University of California,Berkeley, USA and Swiss Federal Institute of Technology Lausanne, Switzerland
IMAGE RETRIEVAL BASED ON EDGE REPRESENTATION Ill - 734M. Abdel-Mottaleb, Philips Research, USA
AREA MORPHOLOGICAL SEGMENTATION FOR CONTENT BASED RETRIEVAL HI - 738B. Raghunathan, Oklahoma State University, USA, S. Acton, University of Virginia, USA
TRANSLATION, SCALE, AND ROTATION INVARIANT TEXTURE DESCRIPTOR Ill - 742FOR TEXTURE-BASED IMAGE RETRIEVALD.-G. Sim, H.-K. Kim, D.-I. Oh, Hyundai Electronics Industries, Co., Ltd., South Korea
COMBINE USER DEFINED REGION-OF-INTEREST AND SPATIAL LAYOUT FOR Ill - 746IMAGE RETRIEVALQ. Tian, Y. Wu, T. Huang, University of Illinois at Urbana-Champaign, USA
INCORPORATE SUPPORT VECTOR MACHINES TO CONTENT-BASED IMAGE Ill - 750RETRIEVAL WITH RELEVANT FEEDBACKP. Hong, Q. Tian, T. Huang, University of Illinois at Urbana-Champaign, USA
CLASSIFICATION OF TEXTURED AND NON-TEXTURED IMAGES USING REGION Ill - 754SEGMENTATIONJ. Li, Stanford University and Xerox Palo Alto Research Center, USA, J. Wang, G. Wiederhold, StanfordUniversity, USA
UNSUPERVISED IMAGE OBJECT SEGMENTATION OVER COMPRESSED DOMAIN Ill - 758H.-L. Eng, K.-K. Ma, Nanyang Technological University, Singapore
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AN INTEGRATED SEGMENTATION TECHNIQUE FOR INTERACTIVE IMAGE Ill - 762RETRIEVALA. Ramamoorthy, Biomorphic VLSI Inc., USA, S. Ghosal, IBM India Research Lab/Indian Institute ofTechnology, India
INFERRING SEMANTIC CONCEPTS FOR VIDEO INDEXING AND RETRIEVAL Ill - 766M. Naphade, T. Huang, University of Illinois at Urbana-Champaign, USA
WP08: IMAGE RESTORATION II
THE ITERATIVE DECONVOLUTION OF LINEARLY BLURRED IMAGES USING Ill - 770NON-PARAMETRIC STABILIZING FUNCTIONSJ. Hare, J. Reilly, McMaster University, Canada
AN IMAGE RESTORATION METHOD USING IFS Ill - 774M. Haseyama, M. Takezawa, H. Kitajima, Hokkaido University, Japan
A REGION-BASED ALTERNATIVE FOR EDGE-PRESERVING SMOOTHING Ill - 778R. Weisenseel, W. Karl, D. Castahon, Boston University, USA
SPATIO-FREQUENCY NOISE DISTRIBUTION A PRIORI FOR SATELLITE IMAGE Ill - 782JOINT DENOISING/DEBLURRINGS. Tramini, M. Antonini, M. Barlaud, I3S Laboratory, France, G. Aubert, J.A Dieudonne Laboratory,France, B. Rouge, C. Latry, CNES, France
BLIND DECONVOLUTION OF IMAGES AND SMALL-EXTENT POINT-SPREAD Ill - 786FUNCTIONS USING RESULTANT MATRICESA. Yagle, University of Michigan, USA
ANALYSIS OF THE ROBUSTNESS OF ITERATIVE RESTORATION METHODS WITH... HI - 789RESPECT TO VARIATIONS OF THE POINT SPREAD FUNCTIONV. Ferreira, N. Mascarenhas, Federal University of Sao Carlos, Brazil
FINGERPRINT ENHANCEMENT BASED ON THE DIRECTIONAL FILTER BANK Ill - 793S.-I. Park, M. Smith, Georgia Institute of Technology, USA, J. Lee, Dongseo University, South Korea
A NEW WAVELET-BASED APPROACH TO SHARPENING AND SMOOTHING OF HI - 797IMAGES IN BESOV SPACES WITH APPLICATIONS TO DEBLURRINGK. Berkner, M. Gormish, E. Schwartz, M. Boliek, Ricoh Silicon Valley, Inc., USA
GENERALIZED WIENER RECONSTRUCTION OF IMAGES FROM COLOUR SENSOR... HI - 801DATA USING A SCALE INVARIANT PRIORD. Taubman, University of New South Wales, Australia
THE ADAPTIVE REST CONDITION SPRING SYSTEM: AN EDGE-PRESERVING HI - 805REGULARIZATION TECHIQUEM. Rivera, J. Marroquin, Centro de Investigacion en Matematicas A.C., Mexico
SATELLITE IMAGE DECONVOLUTION USING COMPLEX WAVELET PACKETS HI - 809A. Jalobeanu, L. Blanc-Feraud, J. Zerubia, CNRS/INRIA/UNSA, France
A RECURSIVE SOFT-DECISION PSF AND NEURAL NETWORK APPROACH TO Ill - 813ADAPTIVE BLIND IMAGE REGULARIZATIONK.-H. Yap, L. Guan, University of Sydney, Australia
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HYBRID PERCEPTUAL IMAGE PROCESSING USING NEW INTERPOLATING HI - 817WAVELETSZ. Shi, H. Wang, D. Zhang, D. Kouri, University of Houston, USA, D. Hoffman, Iowa State University,USA
WP09: STILL IMAGE COMPRESSION
RATE-COMPLEXITY-DISTORTION OPTIMIZATION FOR QUADTREE-BASED DCT HI - 821CODINGK. Lengwehasatit, PacketVideo Corporation, USA, A. Ortega, University of Southern California, USA
REDESIGNING OF JPEG STATISTICAL MODEL IN THE LOSSY MODE FITTING Ill - 825DISTRIBUTION OF DCT COEFFICIENTSK Kuroki, Y. Ueshige, Kagoshima National College of Technology, Japan, T. Ohta, Kyushu Institute ofTechnology, Japan
THE ORIENTATION ADAPTIVE LAPPED ORTHOGONAL TRANSFORM FOR IMAGE.... HI - 829CODINGT. Tanaka, Y. Yamashita, Tokyo Institute of Technology, Japan
ADAPTIVE THRESHOLDING FOR NOISY MPEG-4 STILL TEXTURE IMAGE Ill - 833T. Chan, D. Lun, Hong Kong Polytechnic University, China
LOW-COMPLEXITY SCALABLE DCT IMAGE COMPRESSION HI - 837R. van der Vleuten, R. Kleihorst, C. Hentschel, Philips Research Laboratories, The Netherlands
OPTIMAL DESIGN OF TRANSFORM CODERS AND QUANTIZERS FOR IMAGE HI - 841CLASSIFICATIONS. Jana, P. Moulin, University of Illinois at Urbana-Champaign, USA
LOOKAHEAD SEARCH FOR LOSSY CONTEXT-BASED ADAPTIVE ENTROPY Ill - 845CODINGR. Singh, A. Ortega, University of Southern California, USA
SCALABLE IMAGE CODER MIXING DCT AND TRIANGULAR MESHES Ill - 849L. Demaret, G. Robert, N. Laurent, A. Buisson, France Telecom , France
UNIVERSAL MULTI-SCALE MATCHING PURSUITS ALGORITHM WITH REDUCED .... HI - 853BLOCKING EFFECTM. de Carvalho, Universidade Federal Fluminense, Brazil, E. da Silva, Universidade Federal do Rio deJaneiro, Brazil, W. Finamore, Pontificia Universidade Catolica do Rio de Janeiro, Brazil, D. Lima,Universidade Federal do Rio de Janeiro, Brazil
IMPROVED COMPRESSION BY COUPLING OF CODING TECHNIQUES AND Ill - 857REDUNDANT TRANSFORM.A.-M. Poussard, C. Olivier, IRCOM-SIC, France , J. Wu, IRCOM-S1C, France, and Nanchang University,China, C. Chatellier, IRCOM-SIC, France
COMBINED SPATIAL AND SUBBAND BLOCK CODING OF IMAGES Ill - 861F. Wheeler, W. Pearlman, Rensselaer Polytechnic Institute, USA
SUBSPACES OF QUANTIZATION ARTIFACTS FOR IMAGE TRANSFORM Ill - 865COMPRESSION0. Guleryuz, Polytechnic University, USA
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BLOCKING ARTIFACT FREE INVERSE DISCRETE COSINE TRANSFORM HI - 869S. Yang, S. Kittitornkun, Y.-H. Hu, University of Wisconsin-Madison, USA, T. Nguyen, BostonUniversity, USA, D. Tull, University of Wisconsin-Madison, USA
WP10: FEATURE DETECTION
LINE DETECTION IN IMAGES THROUGH REGULARIZED HOUGH TRANSFORM Ill - 873N. Aggarwal, University of Illinois, USA, W. Karl, Boston University, USA
ON LEARNING OPTIMAL TEXTURE EDGE DETECTORS Ill - 877S. Will, L. Hermes, J. Buhmann, Universitaet Bonn, Germany, J. Puzicha, University of California,Berkeley, USA
MULTI-RESOLUTION CORNER DETECTION Ill - 881F. Pedersini, E. Pozzoli, A. Sarti, S. Tubaro, Politecnico di Milano, Italy
OPTIMAL SHAPE DETECTION Ill - 885H. Moon, R. Chellappa, A. Rosenfeld, University of Maryland, College Park, USA
INTEGRATED COMPRESSION AND LINEAR FEATURE DETECTION IN THE Ill - 889WAVELET DOMAINE. Magli, G. Olmo, Politecnico di Torino, Italy
ADAPTING SCALE BY MINIMISING SPECTRAL DEFOCUSING FOR SHAPE FROM .... HI - 893TEXTUREE. Ribeiro, E. Hancock, University of York, United Kingdom
COMPUTATIONAL MEASURES CORRESPONDING TO PERCEPTUAL TEXTURAL Ill - 897FEATURESN. Abbadeni, D. Ziou, S. Wang, Universite de Sherbrooke, Canada
ROTATIONALLY INVARIANT TEXTURE FEATURES USING THE DUAL-TREE Ill • 901COMPLEX WAVELET TRANSFORMP. Hill, D. Bull, N. Canagarajah, University of Bristol, United Kingdom
ISOTROPIC VERSUS ANISOTROPIC ENCODING OF VISUAL INFORMATION Ill - 905M. Ferraro, Universita di Torino and 1NFM, Italy, G. Boccignone, Universita di Salerno and INFM, Italy, T.Caelli, University of Alberta, Canada
LINE EXTRACTION WITH THE USE OF AN AUTOMATIC GRADIENT THRESHOLD Ill - 909TECHNIQUE AND THE HOUGH TRANSFORMR. Pires, P. De Smet, I. Bruyland, Ghent University, Belgium
AN EDGE ENHANCEMENT TECHNIQUE FOR IMAGE SEGMENTATION BASED ON Ill - 913RESISTIVE CIRCUIT SIMULATIONT. Yoshida, K. Hirano, Tokyo Institute of Technology, Japan
LOCAL SPECTRA FEATURES EXTRACTION BASED-ON 2D PSEUDO-WIGNER Ill - 917DISTRIBUTION FOR TEXTURE ANALYSISZ. Huang, K. Chan, Y. Huang, Nanyang Technological University, Singapore
VIDEO-RATE PIPELINE STRAIGHT LINE EXTRACTION ALGORITHM Ill - 921M. Fesharaki, YMA College, Iran, O. Sheijani, Qazvin Azad University, Iran
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WP11: VIDEO INDEXING AND EDITING II
STATISTICAL FEATURE EXTRACTION FROM COMPRESSED VIDEO SEQUENCES.... HI - 925W. Fernando, C. Canagarajah, D. Bull, University of Bristol, United Kingdom
VIDEO DISSOLVE AND WIPE DETECTION VIA SPATIO-TEMPORAL IMAGES OF Ill - 929CHROMATIC HISTOGRAM DIFFERENCESM. Drew, Z.-N. Li, X. Zhong, Simon Fraser University, Canada
A SCENE BOUNDARY DETECTION METHOD Ill - 933M. Chung, Korea Telecom, South Korea, H. Kim, Kookmin University, South Korea, S. Song, KoreaUniversity, South Korea
A NOVEL APPROACH TO SCENE CHANGE DETECTION USING A CROSS Ill - 937ENTROPYS. Kim, R.-H. Park, Sogang University, South Korea
TEMPORAL SEGMENTATION OF VIDEO USING FRAME AND HISTOGRAM-SPACE.... HI - 941R. Joyce, B. Liu, Princeton University, USA
PARTITIONING OF VIDEO OBJECTS INTO TEMPORAL SEGMENTS USING LOCAL.... HI - 945MOTION INFORMATIONB. Erol, F. Kossentini, University of British Columbia, Canada
A UNIFIED APPROACH TO GRADUAL SHOT TRANSITION DETECTION Ill - 949J. Bescos, J. Menendez, G. Cisneros, J. Cabrera, J. Martinez, Universidad Politecnica de Madrid, Spain
EFFICIENT AND EFFECTIVE WIPE DETECTION ON MPEG COMPRESSED VIDEO HI - 953BASED ON THE MACROBLOCK INFORMATIONS.-C. Pel, Y.-Z. Chou, National Taiwan University, Taiwan
LOW COMPLEXITY CUT DETECTION IN THE PRESENCE OF FLICKER I l l - 957A. Albiol, V. Naranjo, Universidad Politecnica de Valencia, Spain, J. Angulo, Ecole des Mines de Paris,France
IMPROVED FADE AND DISSOLVE DETECTION FOR RELIABLE VIDEO I l l - 961SEGMENTATIONB. Truong, Curtin University of Technology, Australia, C. Dorai, IBM T.J. Watson Research Center, USA,S. Venkatesh, Curtin University of Technology, Australia
WP12: POSTPROCESSING AND HALFTONING
OPTIMIZING MPEG-4 CODING PERFORMANCE BY TAKING POST-PROCESSING Ill - 965INTO ACCOUNTW.-F. Cheung, Y.-H. Chan, Hong Kong Polytechnic University, China
REDUCTION OF BLOCKING ARTIFACTS BY ADAPTIVE DCT COEFFICIENT Ill - 969ESTIMATION IN BLOCK-BASED VIDEO CODINGK. Fukuda, A. Kawanaka, Sophia University, Japan
MODEL-BASED INVERSE HALFTONING WITH WAVELET-VAGUELETTE Ill - 973DECONVOLUTIONR. Neelamani, R. Nowak, R. Baraniuk, Rice University, USA
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FREQUENCY DOMAIN MEASUREMENT OF BLOCKINESS IN MPEG-2 CODED Ill - 977VIDEOK. Tan, M. Ghanbari, University of Essex, United Kingdom
BLIND MEASUREMENT OF BLOCKING ARTIFACTS IN IMAGES Ill - 981Z. Wang, A. Bovik, B. Evans, University of Texas at Austin, USA
OPTIMUM BINARIZATION OF TECHNICAL DOCUMENT IMAGES Ill - 985J. Sanchez Valverde, Ericsson, Spain, R.-R. Grigat, Technical University Hamburg-Harburg, Germany
RESTORATION OF WAVELET-COMPRESSED IMAGES USING ADAPTIVELY Ill - 989MASKING SMOOTHNESS CONSTRAINTSJ. Jung, J. Paik, Chung-Ang University, South Korea
LOOK UP TABLE (LUT) METHOD FOR IMAGE HALFTONING Ill - 993M. Mese, P. Vaidyanathan, California Institute of Technology, USA
A ROW-ORIENTED ERROR DIFFUSION TECHNIQUE FOR DIGITAL HALFTONING Ill - 997Y.-H. Chan, S.-M. Cheung, Hong Kong Polytechnic University, China