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2004 IEEE International

Conference on Acoustics, Speech,and Signal Processing

Proceedings

Volume III of V

Image and Multidimensional Signal Processing

Special Sessions

May 17 - 21, 2004

Fairmont Queen Elizabeth Hotel

Montreal, Quebec, Canada

Sponsored by

The Institute of Electrical and Electronics Engineers

Signal Processing Society

IEEEUB/TIB Hannover

89

/£££

Signs/'Processing Society ^ '//'" ®

SPTM-P13: DETECTION AND CLASSIFICATION

SPTM-P13.1: ANAPPROACHBASED ON INFLUENCEFUNCTION TO EVALUATE II -1053

ROBUSTNESS AND DETECTION PERFORMANCE OF CFAR DETECTORS

Huadong Meng, Xiqin Wang, Rao Zhang, Yingning Peng, Tsinghua University, China

SPTM-P13.2: PARAMETRIC ADAPTIVE MODELING AND DETECTION FOR HYPERSPECTRAL II - 1057

IMAGING

Hongbin Li, Stevens Institute of Technology, United States; James Michels, United States Air Force Research Laboratory, United

States

SPTM-P13.3: A GLRTAND BOOTSTRAP APPROACH TO DETECTION IN MAGNETIC II - 1061

RESONANCE FORCE MICROSCOPY

Pei-Jung Chung, University ofMichigan, Ann Arbor, United States; Jose Moura, Carnegie Mellon University, United States

SPTM-P13.4: OPTIMAL DETECTION THEORY APPLIED TO MONOPULSEANTENNAS II - 1065

Eric Chaumette, Thales Naval France, France; Pascal Larzabal, Ecole Normale Superieure de Cachan, France

SPTM-P13.5: DETECTION PERFORMANCE FOR DISCRETE TEST STATISTICS II - 1069

APPLICATION TO LOW-FLUX IMAGERY.

Andre Ferrari, Universite de Nice - Sophia Antipolis, France; Jean-Yves Tourneret, ENSEEIHT/TeSA, France

SPTM-P13.6: A COMBINED DECISION FUSION AND CHANNEL CODING SCHEME FOR II - 1073

FAULT-TOLERANT CLASSIFICATION IN WIRELESS SENSOR NETWORKS

Tsang-Yi Wang, Syracuse University, United States; Yunghsiang Han, National Chi Nan University, Taiwan; Pramod Varshney,

Syracuse University, United States

SPTM-P13.7: ASYMPTOTIC LOCALLY OPTIMALDETECTION FOR LARGE SCALE SENSOR II - 1077

NETWORKS UNDER THE POISSON REGIME

Youngchul Sung, Lang Tong, Cornell University, United States; Ananthram Swami, Army Research Laboratory, United States

SPTM-P13.8: MMSEJOINT DETECTION FORAN ASYNCHRONOUS SPREAD-SPECTRUM II - 1081

SYSTEM BASED ON RANDOM PERMUTATIONS

Martial Coulon, Daniel Roviras, ENSEEIHT/lRIT/Te'SA, France

SPTM-P13.9: DATA SELECTION FOR DETECTION OF KNOWN SIGNALS: THE II - 1085

RESTRICTED-LENGTHMATCHED FILTER

Charles Sestok, Massachusetts Institute of Technology, United Stales

SPTM-P13.10: OPTIMAL WAVELET FOR ABRUPT CHANGE DETECTION IN II - 1089

MULTIPLICATIVE NOISE

Marie Chabert, ENSEEIHT/IRIT/TeSA, France; Daniel Ruiz,, ENSEEIHT/IRIT, France; Jean-Yves Tourneret, ENSEEIHT/IRIT/

TeSA, France

SPTM-P13.il: VOICE ACTIVITY DETECTION WITH NOISE REDUCTION AND II - 1093

LONG-TERM SPECTRAL DIVERGENCE ESTIMATION

Javier Ramirez, Jose C, Segura, Carmen Benitez, Angel de la Torre, Antonio J. Rubio, Universidad de Granada, Spain

SPTM-P13.12: SIGNAL DETECTION AND ESTIMATION USING ATOMIC DECOMPOSITION II - 1097

AND INFORMATION-THEORETIC CRITERIA

Gustavo Ldpez-Risueho, Jesus Grajal, OmarA. Yeste-Ojeda, Universidad Politecnica de Madrid, Spain

Volume III

in

IMDSP-L1: IMAGE AND VIDEO ANALYSIS

IMDSP-Ll.l: ROBUST TWO-CAMERA TRACKING USING HOMOGRAPHY Ill. i

Zhanfeng Yue, ShaohuaZhou, Rama Chellappa, University ofMaryland, College Park, United States

IMDSP-L1.2: A NEW AND COMPACT ALGORITHM FOR SIMULTANEOUSLYMATCHING Ill - 5

AND ESTIMATION

Hongdong Li, Richard Hartley, Australian National University, Australia

IMDSP-L1.3: JOINT SPACE-TIME IMAGE SEQUENCE SEGMENTATION: OBJECT TUNNELS Ill - 9AND OCCLUSION VOLUMES

Mirko Ristivojevic, Janusz Konrad, Boston University, United States

IMDSP-L1.4: SHAPE RECONSTRUCTIONFROMUNORGANIZED POINTS WITH A Ill -13

DATA-DRIVEN LEVEL SET METHOD

Yonggang Shi, William C. Karl, Boston University, United States

IMDSP-L1.5: CONTOUR-BASED OBJECT TRACKING WITH GRADIENT-BASED CONTOUR Ill -17

ATTRACTION FIELD

PetrDoklddal, Raffi Enficiaud, Eva Dejnozkovd, Paris School ofMines, France

IMDSP-L1.6: SHAPE GRADIENT FOR IMAGE SEGMENTATION USING INFORMATION Ill - 21

THEORY

Ariane Herbulot, Stephanie Jehan Besson, Michel Barlaud, I3S Laboratory, France; Gilles Aubert, Dieudonne Laboratory,France

IMDSP-L2: IMAGE AND MULTIDIMENSIONALSIGNAL PROCESSING: THEORY

IMDSP-L2.1: USING SHAPE DISTRIBUTIONS AS PRIORS IN A CURVE EVOLUTION Ill - 25

FRAMEWORK

Andrew Litvin, William C. Karl, Boston University, United States

IMDSP-L2.2: FROM TURBO HIDDEN MARKOV MODELS TO TURBO STATE-SPACE Ill - 29

MODELS

Florent Perronnin, Jean-Luc Dugelay, Institut Eurecom, France

IMDSP-L2.3: HIERARCHICAL ANNEALING FOR SCIENTIFIC MODELS Ill - 33

Simon Alexander, Paul Fieguth, Edward Vrscay, University of Waterloo, Canada

IMDSP-L2.4: A MULTIRESOLUTION DIRECTIONALFILTER BANKFORIMAGE Ill - 37

APPLICATIONS

Truong T. Nguyen, Soontorn Oraintara, University of Texas, Arlington, United States

IMDSP-L2.5: MULTIPLE DESCRIPTION CODING OF IMAGES USING PHASE SCRAMBLING Ill - 41

Kaveh F. Sadri, Shahram Shirani, McMaster University, Canada

IMDSP-L2.6: THE DISCRETE TRIANGLE TRANSFORMHI - 45

Markus Puschel, Carnegie Mellon University, United States; Martin Rotteler, University of Waterloo, Canada

IMDSP-L3: STILL IMAGE CODING

IMDSP-L3.1: ANEMBEDDEDIMAGE CODINGSYSTEM BASED ON TARP FILTER WITH HI - 49

CLASSIFICATION

Chao Tian, Sheila Hemami, Cornell University, United States

IMDSP-L3.2: COLOR IMAGE SCALABLE CODING WITHMATCHING PURSUIT Ill - 53

Rosa M. Figueras i Ventura, Pierre Vandergheynst, Pascal Frossard, Swiss Federal Institute of Technology (EPFL), Switzerland;

Andrea Cavallaro, Queen Mary, University ofLondon, United Kingdom

liii

IMDSP-L3.3: ADAPTIVE DISCRETE GENERALIZED LIFTING FOR LOSSLESS Ill - 57

COMPRESSION

Joel Sole, Philippe Salembier, Universitat Politecnica de Catalunya (UPC), Spain

IMDSP-L3.4: EMBEDDED COLORIMAGE CODING USING CONTEXT-MODELED Ill - 61

WAVELET DIFFERENCE REDUCTION

Yufei Yuan, Mrinal Mandal, University ofAlberta, Canada

IMDSP-L3.5: SCALABLE IMAGE EMBEDDINGS FROM ARBITRARY WAVELET-BASED Ill - 65

PERCEPTUAL MODELS

Matthew Gaubatz, Sheila Hemami, Cornell University, United States

IMDSP-L3.6: A STUDY ON NON-OCTAVE RESOLUTION CONVERSION BASED ON Ill - 69

JPEG2000 EXTENSIONS

Takayuki Nakachi, Tomoko Sawabe, Junji Suzuki, Tetsuro Fujii, NTT, Japan

IMDSP-L4: WATERMARKING II

IMDSP-L4.1: OPTIMAL SPARSE-QIM STRATEGIES FOR ZERO-RATE Ill - 73

BLINDWATERMARKING

Pierre Moulin, Anil Kumar Goteti, RalfKoetter, University ofIllinois at Urbana-Champaign, United States

IMDSP-L4.2: AN ANALYSIS OF QUANTIZATION BASED EMBEDDING-DETECTION Ill - 77

TECHNIQUES

Husrev Senear, New Jersey Institute ofTechnology, United States; Mahalingam Ramkumar, Mississippi State University, United

States; AHAkansu, New Jersey Institute of Technology, United States

IMDSP-L4.3: LOG-SCALING WATERMARK DETECTION IN DIGITAL AUDIO Ill - 81

WATERMARKING

Byeong-Seob Ko, Ryouichi Nishimura, Yoiti Suzuki, Tohoku University, Japan

IMDSP-L4.4: COLOR IMAGE WATERMARKING WITHADAPTIVE STRENGTH OF Ill - 85

INSERTION

Alice Parisis, Philippe Carre, Christine Femandez-Maloigne, University ofPoitiers, France; Nathalie Laurent, France Telecom

R&D, France

IMDSP-L4.5: COLOR IMAGE APPEARANCE MODEL APPLIED TO PRINTING OF Ill - 89

WATERMARKED IMAGES

Alastair Reed, Eliot Rogers, Digimarc Corporation, United States

IMDSP-L4.6: DANGER OF LOW-DIMENSIONALWATERMARKING SUBSPACES Ill - 93

Gwenael Doerr, Jean-Luc Dugelay, Institut Eurecom, France

IMDSP-L5: IMAGE AND MULTIDIMENSIONAL SIGNAL PROCESSING: APPLICATIONS III

IMDSP-L5.1: POST-BEAMFORMING THIRD-ORDER VOLTERRA FILTER (THOVF) FOR Ill - 97

PULSE-ECHOULTRASONIC IMAGING

Mamoun Al-Mistarihi, Pornchai Phukpattaranont, Emad Ebbini, University ofMinnesota, United States

IMDSP-L5.2: TONE DEPENDENT COLOR ERROR DIFFUSION Ill -101

Vishal Monga, Brian Evans, University of Texas, Austin, United States

IMDSP-L5.3: AN EFFICIENT COLOR IMAGE ACQUISITION SYSTEMFOR WIRELESS Ill -105

HANDHELD DEVICES

Bei Tang, King Lee, Motorola Labs, United States

liv

IMDSP-L5.4: HEMODYNAMIC TRANSFER FUNCTION ESTIMATION WITH LAGUERRE Ill -109

POLYNOMIALS AND CONFIDENCE INTERVALS CONSTRUCTION,FROM FUNCTIONAL MAGNETIC

RESONANCE IMAGING (FMRI) DATA

Supratim Saha, Harvard University, United States; Christopher Long, Massachusetts General Hospital-NMR Center, United

States; Emery Brown, Neuroscience Statistics Research Lab, United States; E. Aminoff, M. Bar, Massachusetts General Hospital-NMR Center, United States; Victor Solo, Massachusetts General Hospital-NMR Center, United States / University ofNew South

Wales, Australia

IMDSP-L5.5: KALMANBUCY FILTER BASED DATA ASSIMILATION WITH NAVY LAYERED Ill -113

OCEAN MODEL

AmirAsif, York University, Canada

IMDSP-L5.6: HYPERSPECTRAL SIGNALMODELS AND IMPLICATIONS TO MATERIAL Ill -117

DETECTION ALGORITHMS

Dimitris Manolakis, MIT Lincoln Laboratory, United States

IMDSP-L6: INTERFRAME SUBBAND/WAVELET VIDEO CODING

IMDSP-L6.1: (N,0) MOTION-COMPENSATED LIFTING-BASED WAVELET TRANSFORM Ill -121

Thomas Andre, Marco Cagnazzo, Marc Antonini, Michel Barlaud, Universite de Nice - Sophia Antipolis, France; Nikola

Bozinovic, Janusz Konrad, Boston University, United States

IMDSP-L6.2: HIGHLY SCALABLE VIDEO CODINGBY BIDIRECTIONAL PREDICT-UPDATE Ill - 12S

3-BAND SCHEMES

Christophe Tillier, Beatrice Pesquet-Popescu, ENST, France; Mihaela van der Schaar, University of California, Davis, United

States

IMDSP-L6.3: DIRECTIONAL SPATIAL I-BLOCKS FOR THE MC-EZBC VIDEO CODER IH -129

Yongjun Wu, John Woods, Rensselaer Polytechnic Institute, United States

IMDSP-L6.4: MP3D: HIGHLY SCALABLE VIDEO CODING SCHEMEBASED ONMATCHING IH -133

PURSUIT

Adel Rahmoune, Pierre Vandergheynst, Pascal Frossard, Swiss Federal Institute of Technology (EPFL), Switzerland

IMDSP-L6.5: A NON-SEPARABLE LIFTING APPROACH FOR 3D IMAGE COMPRESSION Ill -137

DavidMontgomery, Abbes Amira, Fionn Murtagh, Queen's University Belfast, United Kingdom

IMDSP-L6.6: MESH-BASED MOTIONMODELS FOR WAVELET VIDEO CODING in -141

Nikola Bozinovic, Janusz Konrad, Boston University, United States

IMDSP-P1: VIDEO CODING

IMDSP-P1.1: AN EFFECTIVE PERCEPTUAL WEIGHTING MODEL FOR VIDEOPHONE Ill -145

CODING

Xiaokang Yang, WeisiLin, Zhongkang Lu, Ee Ping Ong, Susu Yao, Institute for Infocomm Research, Singapore

IMDSP-P1.2: rho-DOMAIN RATE-DISTORTION OPTIMAL RATE CONTROLFORDCT-BASED HI -149

VIDEO CODERS

NejatKamaci, Yiicel Altunbasak, Georgia Institute ofTechnology, Untied States

IMDSP-P1.3: GEOMETRICALLY DETERMINING LEAKY BUCKET PARAMETERSFOR m -153

VIDEO STREAMINGOVER CONSTANT BIT-RATECHANNELS

Ping Li, Weisi Lin, Susanto Rahardja, Xiao Lin, Xiaokang Yang, Zhengguo Li, Institutefor Infocomm Research, Singapore

IMDSP-P1.4: A LOW-COMPLEXITY VIDEO ENCODER WITH DECODERMOTION DI -157

ESTIMATOR

Sibel Yaman, Ghassan AlRegib, Georgia Institute of Technology, United States

Iv

IMDSP-P1.5: REGION-OF-INTEREST BASED COMPRESSED DOMAIN VIDEO Ill -161

TRANSCODING SCHEME

Aniruddha Sinha, Gaurav Agarwal, Alwin Anbu, Motorola India Electronics Limited, India

IMDSP-P1.6: A NEW EFFICIENT SIMILARITY METRICAND GENERIC COMPUTATION Ill -165

STRATEGY FOR PATTERN-BASED VERYLOWBIT-RATE VIDEO CODING

Manoranjan Paul, Manzur Murshed, Laurence Dooley, Monash University, Australia

IMDSP-P1.7: EFFICIENT BLOCK-SIZESELECTION ALGORITHM FORINTER-FRAME Ill -169

CODING IN H.264/MPEG-4 AVC

Andy C. Yu, University of Warwick, United Kingdom

IMDSP-P1.8: SELECTION OF VARIABLE BLOCK SIZES IN H.264 Ill • 173

Amna Ahmad, Nadeem Khan, Shahid Masud, Mohammad Maud, Lahore University ofManagement Sciences, Pakistan

IMDSP-P1.9: AN ANALYSIS OF THEDCT COEFFICIENT DISTRIBUTION WITHTHE H.264 Ill 177

VIDEO CODER

Yiicel Altunbasak, Nejat Kamaci, Georgia Institute of Technology, United States

IMDSP-P1.10: BLOCKINTER MODE DECISION FOR FAST ENCODING OF H.264 Ill -181

Dajun Wu, Si Wu, Keng Pang Lim, Feng Pan, Zhengguo Li, Xiao Lin, Institutefor Infocomm Research, Singapore

IMDSP-P1.11: COLORSPACECOMPATIBLECODING FRAMEWORKFORYUV422 VIDEO Ill -185

CODING

Lujun Yuan, Chinese Academy of Sciences, China; Guobin Shen, Feng Wu, Shipeng Li, Microsoft Research Asia, China; Wen

Gao, Chinese Academy of Sciences, China

IMDSP-P2: RESTORATION

IMDSP-P2.1: A NEW INTERPRETATION OF TRANSLATION INVARIANT DENOISING Ill -189

Gang Hua, Michael T. Orchard, Rice University, United States

IMDSP-P2.2: HIDDEN MARKOV TREE IMAGEDENOISING WITH REDUNDANT LAPPED HI -193

TRANSFORMS

Laurent Duval, Institut Franqais du Pitrole, France; Truong Nguyen, University of California, San Diego, United States

IMDSP-P2.3: CONTENTBASED BLURRING CODING ARTIFACT REDUCTION USING Ill -197

PATCH-BASED TEXTURE SYNTHESIS

Rajas Sambhare, Yu-HenHu, University of Wisconsin-Madison, United States

IMDSP-P2.4: IMAGE RESTORATION BASED ON CONSTRAINED TOTAL LEAST SQUARES Ill - 201

Xiangchao Gan, Alan Wee-Chung Liew, City University ofHong Kong, China; Hong Yan, City University ofHong Kong, China /

University of Sydney, Australia

IMDSP-P2.5: A WINDOW ADAPTIVE HYBRID VECTORFILTERFOR COLORIMAGE Ill - 205

RESTORATION

Zhonghua Ma, Hong Ren Wu, Bin Qiu, Monash University, Australia

IMDSP-P2.6: SPATIAL ERRORCONCEALMENT OF CORRUPTED IMAGEDATAUSING HI - 209

FREQUENCY SELECTIVE EXTRAPOLATION

Katrin Meisinger, Andre Kaup, Universitat Erlangen-Niimberg, Germany

IMDSP-P2.7: RESOLUTION ENHANCEMENT OF VIDEO SEQUENCES WITH ADAPTIVELY Ill - 213

WEIGHTED LOW-RESOLUTION IMAGES AND SIMULTANEOUS ESTIMATION OF THE REGULARIZATION

PARAMETER

Hu He, Lisimachos P. Kondi, State University ofNew York atBuffalo, United States

IMDSP-P2.8: ADAPTIVE SUPPRESSION OF CCD SIGNAL-DEPENDENT NOISE IN LIGHT Ill - 217

SPACE

Hilda Faraji, James MacLean, University ofToronto, Canada

Ivi

IMDSP-P2.9: DEBLOCKINGDCT-BASED COMPRESSED IMAGES WITHWEIGHTED Ill - 221

TOTAL VARIATION

Francois Alter, £cole Normale Superieure, France; Sylvain Durand, University de Picardie, France; Jacques Froment,

Universite de Bretagne-Sud, France

IMDSP-P2.10: RECOVERY OF TWOTRANSPARENT PRIMITIVE IMAGES FROM TWO Ill - 225

FRAMES

Javier Toro, Universite de Sherbrooke, Canada; Rubin Medina, Universidad de Los Andes, Venezuela; Djemel Ziou, Universite

de Sherbrooke, Canada

IMDSP-P2.il: AN EFFICIENT BINARY IMAGE ACTIVITY DETECTORBASED ON Ill - 229

CONNECTED COMPONENTS

Patrice Simard, Henrique Malvar, Microsoft Research, United States

IMDSP-P2.12: RINGING ARTIFACT REDUCTION IN THEWAVELET-BASED DENOISING Ill - 233

Gun Sink Shin, Moon Gi Kang, Yonsei University, Republic of Korea

IMDSP-P3: ROBUST AND SCALABLE CODING

IMDSP-P3.1: AN EFFICIENT RESYNCHRONIZATION TECHNIQUE FOR PERCEPTUAL Ill - 237

QUALITY ENHANCEMENT FOR ROBUST VIDEO TRANSMISSION

Lap-Pui Chan, Tao Fang, Nanyang Technological University, Singapore

IMDSP-P3.2: PERCEPTUAL QUALITY FEEDBACK BASED PROGRESSIVEFRAME-LEVEL Ill - 241

REFRESHING FORROBUST VIDEO COMMUNICATION

Liang Cheng, Magda El Zarki, University ofCalifornia, Irvine, United States

IMDSP-P3.3: BALANCED MULTIPLE DESCRIPTION VIDEO CODING USING OPTIMAL Ill - 245

PARTITIONING OF THE DCT COEFFICIENTS

Kiran Malty, Lisimachos P. Kondi, State University ofNew York at Buffalo, United States

IMDSP-P3.4: ROBUSTNETWORK-ADAPTIVE OBJECT-BASED VIDEO ENCODINGIll - 249

Haohong Wang, Aggelos Katsaggelos, Northwestern University, United States

IMDSP-P3.5: REDUCINGDRIFTFOR FGS CODING BASED ONMULTIFRAME MOTION Ill - 253

COMPENSATION

Ce Zhu, Yunlong Gao, Lap-Pui Chau, Nanyang Technological University, Singapore

IMDSP-P3.6: AN ERROR RESILIENT CODING SCHEME FOR H.264 VIDEO TRANSMISSION HI - 257

BASED ON DATAEMBEDDING

Li-Wei Kang, Jin-Jang Leou, National Chung Cheng University, Taiwan

IMDSP-P3.7: STRUCTURE UNANIMITY BASEDMULTIPLE DESCRIPTION SUBBANDIll - 261

CODING

Canhui Cai, Jing Chen, Huaqiao University, China

IMDSP-P3.8: MPEG-4 FGS CODING PERFORMANCE IMPROVEMENT USING ADAPTIVE HI - 265

INTER-LAYER PREDICTION

Su-Ren Chen, Chen-Po Chang, Chia-Wen Lin, National Chung Cheng University, Taiwan

IMDSP-P3.9: A RATE-DISTORTION OPTIMALHYBRIDHI - 269

SCALABLE/MULTIPLE-DESCRIPTION VIDEO CODEC

Lisimachos P. Kondi, State University ofNew York at Buffalo, United States

IMDSP-P3.10: A SCALABLE VERTEX-BASED SHAPEINTRA-CODINGSCHEMEFORVIDEOIll - 273

OBJECTS

Mingyou Hu, Stewart Worrall, Abdul Sadka, Ahmet Kondoz, University ofSurrey, United Kingdom

Ivii

IMDSP-P3.il: A NOVEL SOURCE-CHANNEL CONSTANTDISTORTION MODEL AND ITS HI 277

APPLICATION IN ERROR RESILIENT FRAME-LEVEL BIT ALLOCATION

Hua Yang, University of California, Santa Barbara, United States; Ligang Lu, IBMT. J. Watson Research Center, United States

IMDSP-P4: IMAGE AND MULTIDIMENSIONAL SIGNAL PROCESSING: THEORY AND

METHODS

IMDSP-P4.1: DISCRETE SPACE MODELS FOR SELF-SIMILAR RANDOM IMAGES Ill - 281

Seungsin Lee, Raghuveer Rao, Rochester Institute of Technology, United States

IMDSP-P4.2: 3D MODEL REFINEMENT USING SURFACE-PARALLAX Ill - 285

Amit Agrawal, Rama Chellappa, University ofMaryland, College Park, United States

IMDSP-P4.3: SVD-BASED IMAGE FILTERING IMPROVEMENT BY MEANS OF IMAGE Ill - 289

ROTATION

Damien Muti, Salah Bourennane, Mireille Guillaume, Institut Fresnel, France

IMDSP-P4.4: FAST OPTIMIZATION OF WEIGHTED VECTOR MEDIAN FILTERS Ill - 293

Yuzhong Shen, Kenneth E. Barner, University ofDelaware, United States

IMDSP-P4.5: POLYHARMONIC SMOOTHING SPLINES FOR MULTI-DIMENSIONAL HI - 297

SIGNALS WITH 1/ ||omega|| Atau - LIKE SPECTRA

Shai Tirosh, Dimitri Van De Ville, Michael Unser, Swiss Federal Institute ofTechnology (EPFL), Switzerland

IMDSP-P4.6: INTEGRATING PERSPECTIVE DISTORTIONS IN STEREO IMAGE MATCHING Ill - 301

Damien Douxchamps, Benoit Macq, Universite catholique de Louvain, Belgium

IMDSP-P4.7: PARAMETRIC ESTIMATION OF TWO-DIMENSIONAL AFFINE Ill - 305

TRANSFORMATIONS

Rami Hagege, Joseph Francos, Ben-Gurion University, Israel

IMDSP-P4.8: MOTION VECTOR PROCESSING FOR FRAMERATE UP CONVERSION Ill - 309

Gokqe Dane, Truong Nguyen, University of California, San Diego, United States

IMDSP-P4.9: OPTIMAL SUBSAMPLING OF CIRCULARLY BANDLIMITED IMAGES Ill - 313

Ivan Bajic, University ofMiami, United States

IMDSP-P4.10: AN AUTOMATIC METHOD FORUNEQUAL AND OMNI-DIRECTIONAL Ill - 317

ANISOTROPIC DIFFUSION FILTERING OF VIDEO SEQUENCES

Adriana Dumitras, Jim Normile, Apple Computer, Inc., United States

IMDSP-P4.il: ON THE RENDERING ANDPOST-PROCESSING OF SIMPLIFIED DYNAMIC Ill - 321

LIGHT FIELDS WITH DEPTH INFORMATION

Zhi-Feng Gan, Shing-Chow Chan, King-To Ng, Kin-Lok Chan, University ofHong Kong, Hong Kong SAR ofChina; Heung-Yeung Shum, Microsoft Research Asia, China

IMDSP-P5: MOTION ESTIMATION

IMDSP-P5.1: SELECTION OF THE LAGRANGE MULTIPLIER FOR BLOCK-BASED MOTION Ill - 325

ESTIMATION CRITERIA

Pekka Sangi, Janne Heikkila, OB Silven, University ofOulu, Finland

IMDSP-P5.2: USING GRADIENT CORRELATION FOR SUB-PIXEL MOTIONESTIMATION HI - 329OF VIDEO SEQUENCESVasileios Argyriou, Theodore Vlachos, University ofSurrey, United Kingdom

IMDSP-P5.3: GLOBAL MOTION ESTIMATION IN FREQUENCY AND SPATIAL DOMAIN Ill. 333Sanjeev Kumar, Mainak Biswas, Truong Nguyen, University of California, San Diego, United States

Iviii

IMDSP-P5.4: ANOVEL MOTION ESTIMATION METHOD FOR MESH-BASED VIDEO Ill - 337

MOTION TRACKING

Mohammed Sayed, Wael Badawy, University of Calgary, Canada

IMDSP-P5.5: COMPLEXITY COMPARISONOF FAST BLOCK-MATCHINGMOTION Ill - 341

ESTIMATION ALGORITHMS

YilongLiu, Soontorn Oraintara, University ofTexas, Arlington, United States

IMDSP-P5.6: NEW GLOBAL MOTION COMPENSATED DE-INTERLACING ALGORITHM Ill - 345

BASED ON HORIZONTAL AND VERTICAL PATTERNS

Mm Kyu Park, Moon Gi Kang, Yonsei University, Republic ofKorea

IMDSP-P5.7: EMPIRICAL CHOICE OF SMOOTHING PARAMETERS IN ROBUSTOPTICAL HI - 349

FLOWESTIMATION

Mingren Shi, University ofNew South wales, Australia; Victor Solo, University ofNew South Wales, Australia

IMDSP-P5.8: AN ADAPTIVE MOTION ESTIMATION ALGORITHM BASED ON EVOLUTION Ill - 353

STRATEGIES

Hui Wang, Harbin Institute ofTechnology, China; Zhigang Mao, Habin Institute ofTechnology, China

IMDSP-P5.9: ANEW CROSS DIAMOND SEARCH ALGORITHM FORBLOCKMOTION Ill - 357

ESTIMATION

Hongjun Jia, Li Zhang, Tsinghua University, China

IMDSP-P5.10: WEIGHTEDMOTION ESTIMATION FOR EFFICIENTLY CODING SCENE Ill - 361

TRANSITION VIDEO

You Zhou, University ofScience and Technology ofChina, China; Xiaoyan Sun, Microsoft Research Asia, China; Hong Bao,

University ofScience and Technology ofChina, China; Shipeng Li, Microsoft Research Asia, China

IMDSP-P5.il: A NOVEL KITE-CROSS-DIAMOND SEARCH ALGORITHM FOR FAST VIDEO Ill - 365

CODINGAND VIDEOCONFERENCING APPLICATIONS

Chi-Wai Lam, Lai-Man Po, City University ofHong Kong, Hong Kong SAR of China; Chun Ho Cheung, Hong Kong Institute of

Technology, Hong Kong SAR ofChina

IMDSP-P5.12: FAST MULTI-FRMAE MOTION ESTIMATION ALGORITHM WITH ADAPTIVE in - 369

SEARCH STATEGIES IN H.264

Xiang Li, Tsinghua University, China; Eric Li, Yen-Kuang Chen, Intel Corporation, China

IMDSP-P6: WATERMARKING I

IMDSP-P6.1: TWO PRIVATE, PERCEPTUAL DATA-HIDING GAMES Ill - 373

Anil Kumar Goteti, Pierre Moulin, University ofIllinois at Urbana-Champaign, United States

IMDSP-P6.2: REVERSIBLE WATERMARK USING DIFFERENCE EXPANSION OF QUADS Ill - 377

Adnan Alattar, Digimarc Corporation, United States

IMDSP-P6.3: WATERMARKING TECHNIQUE FOR COLOR HALFTONEIMAGES HI - 381

Ming Sun Fu, Oscar C. Au, Hong Kong University ofScience and Technology, Hong Kong SAR ofChina

IMDSP-P6.4: THE GENERALIZEDFIBONACCITRANSFORMATIONS AND APPLICATION TO IH - 385

IMAGE SCRAMBLING

Jiancheng Zou, Rabab K. Ward, University ofBritish Columbia, Canada; Dongxu Qi, North China University ofTechnology,

China

IMDSP-P6.5: EFFICIENT INFORMED EMBEDDING OF MULTI-BIT WATERMARK HI - 389

Joceli Mayer, Rafael Araujo Silva, Federal University ofSanta Catarina, Brazil

IMDSP-P6.6: A SEQUENTIAL MULTIPLE WATERMARKS EMBEDDING TECHNIQUE in - 393

Peter H. W. Wong, Andy Chang, Oscar C. Au, Hong Kong University ofScience and Technology, Hong Kong SAR ofChina

lix

IMDSP-P6.7: LIP FEATURES SELECTION WITH APPLICATION TO PERSON Ill - 397

AUTHENTICATION

Lin Leung Mok, Wing Hong Lau, Shu Hung Leung, Shi Lin Wang, Hong Yan, City University ofHong Kong, Hong Kong SAR ofChina

IMDSP-P6.8: TRANSPARENT ROBUST INFORMATIONHIDING FOR OWNERSHIP Ill - 401

VERIFICATION

Dan Yu, Farook Sattar, Sirajudeen Gulam Razul, Nanyang Technological University, Singapore

IMDSP-P6.9: IMPROVED AFFINE RESISTANT WATERMARKING BY USING ROBUST Ill - 405

TEMPLATES

Xiaojun Qi, Ji Qi, Utah State University, United States

IMDSP-P6.10: SCENE-BASED WATERMARKING METHODFOR COPY PROTECTION USING Ill - 409

IMAGE COMPLEXITY AND MOTION VECTORAMPLITUDE

Yeong Kyeong Seong, Samsung Electronics Co. Ltd., Republic ofKorea; Yoon-Hee Choi, Tae-Sun Choi, Kwangu Institute ofScience and Technology, Republic ofKorea

IMDSP-P6.il: A MULTISCALE FRAGILE WATERMARK BASED ONTHE GAUSSIAN MIXTURE Ill - 413

MODEL IN THEWAVELET DOMAIN

Hua Yuan, Xiao-Ping Zhang, Ryerson University, Canada

IMDSP-P6.12: NOVEL BLIND NON-ADDITIVE ROBUSTWATERMARKING USING 1-D Ill - 417

CHAOTIC MAP

Dong-jian Wang, Ling-ge Jiang, Guo-rui Feng, Shanghai Jiaotong University, China

IMDSP-P7: INDEXING AND RETRIEVAL

IMDSP-P7.1: MULTIPLE BOOSTINGSVM ACTIVE LEARNING FOR IMAGE RETRIEVAL Ill - 421

Wei Jiang, Guihua Er, Qionghai Dai, Tsinghua University, Chile

IMDSP-P7.2: PHASE-BASED METHODS FOR FOURIER SHAPEMATCHING Ill - 425

Paul Fieguth, University of Waterloo, Canada; Paul Bloore, Adrian Domsa, Idee Inc., Canada

IMDSP-P7.3: ADABOOST IN REGION-BASED IMAGE RETRIEVAL HI - 429

Sheng-Yang Dai, Yu-Jin Zhang, Tsinghua University, China

IMDSP-P7.4: MPEG-7 DOMINANT COLOR DESCRIPTOR BASED RELEVANCE FEEDBACK Ill - 433

USING MERGED PALETTE HISTOGRAM

Ka-Man Wong, Lai-Man Po, City University ofHong Kong, Hong Kong SAR of China

IMDSP-P7.5: AN EFFICIENT RADIAL BASIS FUNCTION NETWORKAPPROACH FOR Ill - 437

CONTENT-BASED IMAGE RETREEVAL

Kui Wu, Kim Hui Yap, Nanyang Technological University, Singapore

IMDSP-P7.6: A DIRECT METHOD TO SOLVE THE BIASED DISCRIMINANT ANALYSIS IN Ill - 441

KERNEL FEATURE SPACE FOR CONTENT BASED IMAGE RETRIEVAL

Dacheng Tao, Xiaoou Tang, Chinese University ofHong Kong, Hong Kong SAR of China

IMDSP-P7.7: AUTOMATIC IDENTIFICATION OF COMPRESSED VIDEO Ill - 445

Rosa Lancini, Francesco Mapelli, Antonio Mucedero, Politecnico di Milano, Italy

IMDSP-P7.8: INTERACTIVE VIDEO RETRIEVAL USING EMBEDDEDAUDIO CONTENT Ill - 449

TahirAmin, Mehmet Zeytinoglu, Ling Guan, Ryerson University, Canada; Qin Zhang, Sino-German Joint Software Research

Institute, China

IMDSP-P7.9: MERGING MPEG-7 DESCRIPTORS FORIMAGE CONTENT ANALYSIS Ill - 453

Patrick Ndjiki-Nya, Oleg Novychny, Thomas Wiegand, Heinrich-Hertz-Institut, Germany

Ix

IMDSP-P7.10: RATE-DISTORTION OPTIMALVIDEO SUMMARIZATION: A DYNAMIC Ill - 457

PROGRAMMING SOLUTION

Zhu Li, Motorola Labs, United States; Guido Schuster, Hochschule Fiir Technik, Switzerland; Aggelos Katsaggelos,Northwestern University, United States; Bhavan Gandhi, Motorola Labs, United States

IMDSP-P7.il: ROBUST COLOR IMAGE RETRIEVAL FOR THE WORLD WIDE WEB Ill - 461

Bogdan Smolka, Marek Szczepanski, Silesian University of Technology, Poland; Rastislav Lukac, Anastasios Venetsanopoulos,University ofToronto, Canada

IMDSP-P7.12: INTERACTIVE IMAGE RETRIEVAL BY QUERY FUSION Ill - 465

Azadeh Kushki, Panagiotis Androutsos, Anastasios Venetsanopoulos, University of Toronto, Canada

IMDSP-P8: IMAGE AND MULTIDIMENSIONAL SIGNAL PROCESSING: APPLICATIONS I

IMDSP-P8.1: AN EFFICIENT DEMOSAICING APPROACH WITH A GLOBAL CONTROL OF Ill - 469

CORRECTION STEPS

Konstantinos N. Plataniotis, Rastislav Lukac, University of Toronto, Canada

IMDSP-P8.2: A PERCEPTUALLY BASED DESIGN METHODOLOGY FOR COLORFILTER Ill - 473

ARRAYS

Manu Parmar, Stanley J. Reeves, Auburn University, United States

IMDSP-P8.3: SATELLITE ATTITUDE INSTABILITY EFFECTS ON STEREO IMAGES Ill - 477

Sylvie Roques, Lo'fc Jahan, Observatoire Midi-Pyr4nees, France; Bernard Rouge, Carole Thiebaut, Centre National d'Etudes

Spatiales, France

IMDSP-P8.4: A NOVEL ALGORITHM TO STITCHMULTIPLE VIEWS IN IMAGE MOSAICS Ill - 481

Xiaoyong Sun, Eric Dubois, University ofOttawa, Canada

IMDSP-P8.5: HIGH-QUALITY LINEAR INTERPOLATION FORDEMOSAICING OF Ill - 485

BAYER-PATTERNED COLORIMAGES

Henrique Malvar, Li-wei He, Ross Cutler, Microsoft Research, United States

IMDSP-P8.6: BLIND PRIMARY COLORANT SPECTRAL SEPARATION COMBINING ICA AND Ill - 489

POCS NON-NEGATIVE MATRIX FACTORIZATION

Chunghui Kuo, NexPress Solutions LLC, United States

IMDSP-P8.7: AUTOMATIC WHITE BALANCING USINGLUMINANCE COMPONENT AND Ill - 493

STANDARD DEVIATION OF RGB COMPONENTS

Hong-Kwai Lam, Oscar C. Au, Chi-Wah Wong, Hong Kong University ofScience and Technology, Hong Kong SAR of China

IMDSP-P8.8: SUPERRESOLUTIONRECONSTRUCTION OF HYPERSPECTRAL IMAGES Ill - 497

ToygarAkgun, Yttcel Altunbasak, Russell Mersereau, Georgia Institute ofTechnology, United States

IMDSP-P8.9: A TRANSFORM METHOD FORFAST GENERALIZED IMAGE REGISTRATION HI - 501

Yi Wan, Wah Chiu, Baylor College ofMedicine, United States

IMDSP-P8.10: EXTRACTINGA FOCUSED IMAGE FROM SEVERALOUT OF FOCUS HI - 505

MICROMECHANICALSTRUCTURE IMAGES

Tina Shoa, Gabriel Thomas, Cyrus Shafai, University ofManitoba, Canada; Alireza Shoa, McMaster University, Canada

IMDSP-P9: IMAGE AND MULTIDIMENSIONAL SIGNAL PROCESSING: APPLICATIONS II

IMDSP-P9.1: SEGMENTATION OF BLOODVESSELS IN RETINAL IMAGES USING 2-D Ill - 509

ENTROPIES OF GRAY LEVEL-GRADEENT CO-OCCURRENCE MATRIX

Zhu HongQing, Shanghai Jiaotong University, China

Ixi

IMDSP-P9.2: EXTENDED FORMS OFGEMAN AND YANG ALGORITHM: APPLICATION TO HI - 513

MRIRECONSTRUCTION

Sabine Husse, Yves Goussard, Ecole Polytechnique, Canada; Jirome Idler, IRCCyN (CNRS), France

IMDSP-P9.3: SEGMENTATION OF PROSTATE CONTOURS FROM ULTRASOUND IMAGES IH - 517

Purang Abolmaesumi, Queen's University, Canada; Mohammad Sirouspour, McMaster University, Canada

IMDSP-P9.4: A NOVEL SEGMENTATION TECHNIQUE FOR CAROTID ULTRASOUND Ill - 521

IMAGES

AliHamou, Mahmoud El-Sakka, University of Western Ontario, Canada

IMDSP-P9.5: APPLICATION OF TIME SERIES TECHNIQUES TO DATAMINING AND Ill - 525

ANALYSIS OF SPATIAL PATTERNS IN 3D IMAGES

Qiang Wang, Despina Kontos, Guo Li, Vasileios Megalooikonomou, Temple University, United States

IMDSP-P9.6: LIP SEGMENTATION WITH THE PRESENCE OF BEARDS Ill - 529

Shilin Wang, Wing Hong Lau, Shu Hung Leung, Alan Wee-Chung Liew, City University of Hong Kong, Hong Kong SAR of China

IMDSP-P9.7: NOTETAKINGWITH A CAMERA: WHITEBOARDSCANNING ANDIMAGE Ill - 533

ENHANCEMENT

Zhengyou Zhang, Li-wei He, Microsoft Research, United States

IMDSP-P9.8: A MULTISTAGE CAMERA SELF-CALIBRATION ALGORITHM Ill - 537

Yongying Gao, Hayder Radha, Michigan State University, United States

IMDSP-P9.9: DETECTION OF TV COMMERCIALS Ill - 541

Alberto Albiol, Maria Jose Ch. Fulld, Antonio Albiol, Technical University ofValencia, Spain; Luis Torres, Universitat

Politecnica de Catalunya (UPC), Spain

IMDSP-P9.10: FACE RECOGNITION IN VIDEO USING DEMPSTER-SHAFERTHEORY Ill - 545

Samuel Foucher, Langis Gagnon, Computer Research Institute ofMontreal, Canada

IMDSP-P10: IMAGE ANALYSIS

IMDSP-P10.1: UNSUPERVISED MERGER DETECTION AND MITIGATION IN STILL Ill - 549

IMAGES USING FREQUENCY AND COLOR CONTENT ANALYSIS

Serene Banerjee, Brian Evans, University ofTexas, Austin, United States

IMDSP-P10.2: ESTIMATION OF MULTIPLE LOCAL ORIENTATIONS IN IMAGE SIGNALS Ill - 553

Til Aach, Ingo Stuke, Cicero Mota, Erhardt Barth, University ofLuebeck, Germany

IMDSP-P10.3: TWO-DIMENSIONAL FREQUENCY ESTIMATION WITH MULTIPLICATIVE Ill - 557

NOISE USING NON-CAUSAL MINIMUMVARIANCE REPRESENTATION

Anthony Sourice, Guy Plantier, Ecole Superieure d' ftlectronique de I'Ouest, France; Jean-Louis Saumet, Laboratoire de

Physiologic France

IMDSP-P10.4: SEMANTIC OBJECT SEGMENTATIONBYDYNAMIC LEARNING FROM Ill - 561

MULTIPLE EXAMPLES

YaowuXu, University ofRochester/ On2 Technologies Inc., United States; Eli Saber, University ofRochester/Xerox

Corporation, United States; A. MuratTekalp, University ofRochester, United States /Kog University, Turkey

IMDSP-P10.5: A BAYESIAN GEOMETRIC MODEL FOR LINE NETWORK EXTRACTION Ill - 565

FROM SATELLITE IMAGES

Caroline Lacoste, Xavier Descombes, Josiane Zerubia, INRIA, France; Nicolas Baghdadi, BRGM, France

IMDSP-P10.6: LOGARITHMIC QUANTISATION OF WAVELET COEFFICIENTS FOR Ill - 569

IMPROVED TEXTURE CLASSIFICATION PERFORMANCE

Andrew Busch, Wageeh Boles, Sridha Sridharan, Queensland University of Technology, Australia

Ixii

IMDSP-P10.7: THE DETECTION OF JUNCTION FEATURES IN IMAGES Ill - 573

Robert Laganiere, Rimon Ellas, University ofOttawa, Canada

IMDSP-P10.8: ANINDEPENDENT COMPONENTANALYSIS BASEDIMAGE CLASSIFICATION Ill - 577

SCHEME

Erwin Gilmore, Howard University, United States; Preston Frazier, General Dynamics Corporation, United States; Mohamed

Chouikha, Howard University, United States

IMDSP-P10.9: IMPROVED CURVE TRACINGIN IMAGES Ill - 581

Karthik Raghupathy, Thomas Parks, Cornell University, United States

IMDSP-P10.10: COLOR TEXT IMAGE BINARIZATION BASED ON BINARY TEXTURE Ill - 585

ANALYSIS

Bin Wang, Xiang-Feng Li, Feng Liu, Fu-Qiao Hu, Shanghai Jiaotong University, China

IMDSP-P10.il: A NEWNON-LINEAR EXPONENTIAL 2-D ADAPTIVE FILTER AND ITS Ill - 589

APPLICATION IN TEXTURE CHARACTERIZATION

Mounir Sayadi, Samir Sakrani, ESSTT, Tunisia; Farhat Fnaiech, Mohamed Cheriet, ETS, Canada

IMDSP-P10.12: THEUSE OF VISIBLE COLOR DIFFERENCE IN THE QUANTITATIVE Ill - 593

EVALUATION OF COLOR IMAGE SEGMENTATION

Hsin-Chia Chen, Sheng-Jyh Wang, National Chiao Tung University, Taiwan

IMDSP-P10.13: TEXTURE ANALYSIS USING PROBABILISTIC MODELS OF THE UNIMODAL m - 597

AND MULTIMODAL STATISTICS OF ADAPTIVE WAVELET PACKET COEFFICIENTS

Roberto Cossu, Ian Jermyn, Josiane Zerubia, INRIA, France

IMDSP-P11: VIDEO ANALYSIS

IMDSP-P11.1: EFFICIENT MOTION TRACKING USING GAIT ANALYSIS Ill - 601

Huiyu Zhou, Patrick Green, Andrew Wallace, Heriot-Watt University, United Kingdom

IMDSP-P11.2: SEGMENTATION OFMOVING PEDESTRIANS WITHIN THE COMPRESSED IH - 605

DOMAIN

Miguel Coimbra, Mike Davies, Queen Mary, University ofLondon, United Kingdom

IMDSP-P11.3: LINEAR SYSTEM ANALYSIS OF MOTION COMPENSATEDDE-INTERLACING UI - 609

Mainak Biswas, Truong Nguyen, University of California, San Diego, United States

IMDSP-P11.4: APPEARANCE-BASED TRACKINGAND RECOGNITION USING THE 3DHI - 613

TRILINEAR TENSOR

Jie Shao, Shaohua Zhou, Rama Chellappa, University ofMaryland, College Park, United States

IMDSP-P11.5: AUTOMATIC EXTRACTION OF SEMANTIC COLORS IN SPORTS VIDEO in - 617

Lei Wang, Boyi Zeng, Tsinghua University, China; Steve Lin, Microsoft Research Asia, China; Guangyou Xu, Tsinghua

University, China; Heung-Yeung Shum, Microsoft Research Asia, China

IMDSP-P11.6: MODELING HIGH LEVEL STRUCTURE IN SPORTS WITHMOTION HI - 621

DRIVENHMMS

Niall Rea, Rozenn Dahyot, Anil Kokaram, Trinity College Dublin, Ireland

IMDSP-P11.7: MULTIPLE FEATURE CLUSTERINGALGORITHM FORAUTOMATIC VIDEO IH - 625

OBJECT SEGMENTATION

Wei Wei, Chinese University ofHong Kong, Hong Kong SAR ofChina; King Ngi Ngan, Chinese University ofHong Kong, Hong

Kong SAR of China /Nanyang Technological University, Singapore; Nariman Habili, iOmniscient Pty Ltd, Australia

IMDSP-P11.8: DENSITY PROPAGATION FORTRACKING INITIALIZATION WITH MULTIPLE Ill - 629

CUES

Cheng Chang, Rashid Ansari, Ashfaq Khokhar, University ofIllinois at Chicago, United States

Ixiii

IMDSP-P11.9: INNER LIP FEATURE EXTRACTION FOR MPEG-4 FACIAL ANIMATION Ill - 633

Zhilin Wu, Petar Aleksic, Northwestern University, United States

IMDSP-P11.10: ACCURATEMOVING OBJECT SEGMENTATION BY A HIERARCHICAL Ill - 637

REGION LABELING APPROACH

Wei Zeng, Wen Gao, Harbin Institute ofTechnology, China

IMDSP-Fll.il: INITIALIZATION-INDEPENDENT SPECTRAL CLUSTERING WITH Ill - 641

APPLICATIONS TO AUTOMATIC VIDEOANALYSIS

Ahmet Ekin, University ofRochester, United States; Sharath Pankanti, Arun Hampapur, IBM T. J. Watson Research Center,United States

IMDSP-P11.12: NEWS VIDEO STORY SEGMENTATION USING FUSIONOF MULTI-LEVEL Ill - 645

MULTI-MODAL FEATURES IN TRECVID 2003

Winston Hsu, Lyndon Kennedy, Chih-wei Huang, Shih-Fu Chang, Columbia University, United States; Ching-Yung Lin,

Giridharan Iyengar, IBM T. J. Watson Research Center, United States

IMDSP-P12: IMAGE CODING

IMDSP-P12.1: KERNEL MATCHINGPURSUITS PRIORITIZATION OF WAVELET Ill - 649

COEFFICIENTS FOR SPIHT IMAGE CODING

Shaorong Chang, Lawrence Carin, Duke University, United States

IMDSP-P12.2: OPTIMIZATION OF ORTHOGONAL WAVELETS FORIMAGE COMPRESSION Ill - 653

Naushirwan Patuck, Desmond C. McLernon, University of Leeds, United Kingdom

IMDSP-P12.3: REGION OF INTEREST CODING USING PARTIAL-SPIHT Ill - 657

Ahmed Abu-Hajar, Digital Video Research and Development, United States; Ravi Sankar, University ofSouth Florida, United

States

IMDSP-P12.4: AN EFFICIENT ERRORCONCEALMENT METHOD FOR JPEG2000 IMAGE Ill - 661

TRANSMISSION

Jieyu Liu, Guizhong Liu, Long Liu, Zhanhui Wang, XVan Jiaotong University, China

IMDSP-P12.5: IMPROVING JPEG2000's PERCEPTUAL PERFORMANCE WITH WEIGHTS Ill - 665

BASED ON BOTH CONTRAST SENSITIVITY AND STANDARDDEVIATION

Krishnaraj Varma, Amy Bell, Virginia Tech, United States

IMDSP-P12.6: A MEMORY-EFFICIENT FAST ENCODINGMETHODFORVECTOR Ill - 669

QUANTIZATION USING 2-PIXEL-MERGING SUMPYRAMID

Zhibin Pan, Kofi Kotani, Tadahiro Ohmi, Tohoku University, Japan

IMDSP-P12.7: ON TURBO-COMPRESSION AND MODELING OF BLACKAND WHITE Ill - 673

IMAGES

Isabel Deslauriers, Jan Bajcsy, McGill University, Canada

IMDSP-P12.8: A HYBRID WAVELET ANDRIDGELET APPROACH FOR EFFICIENT EDGE Ill - 677

REPRESENTATION IN NATURAL IMAGES

Fulvio Moschetti, Kazuo Sugimoto, Sadaatsu Kato, NTT DoCoMo, Japan; Matteo Burrini, University of Siena, Italy

IMDSP-P12.9: AN EMBEDDED SCALING-BASED ARBITRARY SHAPE REGION-OF-INTEREST Ill - 681

CODING METHODFOR JPEG2000

Mahesh Subedar, Lina Karam, Arizona State University, United States; Glen Abousleman, General Dynamics Decision Systems,United States

IMDSP-P12.10: RIPPLE-FREE LOCALBASES BY DESIGN Ill - 685

John Lewis, Zhenyao Mo, Ulrich Neumann, University of Southern California, United States

Ixiv

IMDSP-P12.il: A VERY LOWBIT-RATE EMBEDDED COLOR IMAGE CODING WITH SPIHT HI - 689

Ahmed Bouridane, Queen's University Belfast, United Kingdom; Fouad Khelifi, University ofJijel, Algeria; Abbes Amira, Fatih

Kurugollu, Queen's University Belfast, United Kingdom; Said Boussakta, University ofLeeds, United Kingdom

IMDSP-P12.12: LOSSY TO LOSSLESS SPIHT-BASED VOLUMETRIC IMAGE COMPRESSION Ill - 693

Giaime Ginesu, DanieleD. Giusto, University of Cagliari, Italy; William A. Peariman, Rensselaer Polytechnic Institute, United

States

IMDSP-P13: IMAGE AND VIDEO CODING AND QUALITY

IMDSP-P13.1: DETECTABILITY AND ANNOYANCE OF SYNTHETICBLURRING AND Ill - 697

RINGING IN VIDEO SEQUENCES

Mylene Farias, Sanjit K. Mitra, John Foley, University of California, Santa Barbara, United States

IMDSP-P13.2: AUTOMATIC IMAGE QUALITY IMPROVEMENT FOR VIDEOCONFERENCING Ill - 701

Cuizhu Shi, Keman Yu, Jiang Li, Shipeng Li, Microsoft Research Asia, China

IMDSP-P13.3: SPATIAL SELECTIVITY MODULATED JUST-NOTICEABLE-DISTORTION Ill - 705

PROFILE FOR VIDEO

Zhongkang Lu, Weisi Lin, Xiaokang Yang, Ee Ping Ong, Susu Yao, Institute for Infocomm Research, Singapore

IMDSP-P13.4: IMAGE INFORMATION AND VISUAL QUALITY Ill - 709

Hamid Sheikh, Alan Bovik, University of Texas, Austin, United States

IMDSP-P13.5: AN ALGORITHM FOR IMAGE QUALITY ASSESSMENT m - 713

Goran Ivkovic, Ravi Sankar, University of South Florida, United States

IMDSP-P13.6: AN ADAPTIVE CODING SCHEME USING AFFINE MOTION MODELFOR Ill - 717

MPEGP-VOP

Xiaohuan Li, Joel Jackson, Georgia Institute ofTechnology, United States; Aggelos Katsaggelos, Northwestern University,United States; Russell Mersereau, Georgia Institute of Technology, United States

IMDSP-P13.7: COLOR IMAGE ENHANCEMENT AND EVALUATION ALGORITHM BASED ON Ill - 721

HUMAN VISUAL SYSTEM

Kaiqi Huang, Qiao Wang, Zhenyang Wu, Southeast University, China

IMDSP-P13.8: LOW COMPLEXITY SEPARABLE MATCHING PURSUITS IH - 725

Yuan Yuan, Adrian Evans, Don Monro, University ofBath, United Kingdom

IMDSP-P13.9: MPEG-4 COMPRESSION ARTIFACTS REMOVAL ON COLORVIDEO HI - 729

SEQUENCES USING 3D NONLINEAR DIFFUSION

Pascal Bourdon, Bertrand Augereau, Christian Olivier, Christian Chatellier, IRCOM-SIC, UMR-CNRS 6615, University of

Poitiers, France

IMDSP-P13.10: AUTOMATIC DETECTION OF VIDEO SYNTHESIS RELATED ARTIFACTS Ill - 733

Patrick Ndjiki-Nya, Michael Kootz, Thomas Wiegand, Fraunhofer Institute for Telecommunications, Germany

IMDSP-P13.il: NONCAUSAL PREDICTIVE VIDEO CODEC OFFERING HIERARCHICAL QOS IH - 737

Maria Kouras, AmirAsif, York University, Canada

IMDSP-P13.12: MPEG-4 BASED STEREOSCOPIC VIDEO SEQUENCES ENCODER Ill - 741

Wenxian Yang, King Ngi Ngan, Nanyang Technological University, Singapore

Ixv

SS-1: MULTILINGUALITY IN SPEECH PROCESSING

SS-1.1: MULTILINGUAL ACOUSTIC MODELS FOR SPEECH RECOGNITION AND Ill - 745

SYNTHESIS

Siegfried Kunzmann, Volker Fischer, Jorge Gonzalez, Ossama Emam, Carsten Gunther, Eric Janke, IBM Pervasive Computing,Germany

SS-1.2: THE DEVELOPMENT OF ASRFOR SLAVIC LANGUAGES IN THEMALACH PROJECT Ill - 749

JosefPsutka, University of West Bohemia, Czech Republic; Jan Hajic, Charles University, Czech Republic; William Byrne, Johns

Hopkins University, United States

SS-1.3: SPEECHRECOGNITION IN MULTIPLE LANGUAGESAND DOMAINS: THE 2003 Ill - 753

BBN/LIMSI EARS SYSTEM

Richard Schwartz, Thomas Colthurst, Nicolae Duta, Herb Gish, Rukmini Iyer, Chia-Lin Kao, Daben Liu, Owen Kimball,

J. Ma, John Makhoul, Spyros Matsoukas, Long Nguyen, Mohamed Noamany, Rohit Prasad, Bing Xiang, Dongxin Xu, BBN

Technologies, United States; Jean-Luc Gauvain, LIMSI-CNSR, France; LoriLamel, LIMSI, France; Holger Schwenk, Gilles

Adda, Langzhou Chen, LIMSI-CNRS, France

SS-1.4: SPEECH TRANSCRIPTION IN MULTIPLE LANGUAGES Ill - 757

Lori Lamel, Jean-Luc Gauvain, Gilles Adda, Martine Adda-Decker, Leonard Canseco, Langzhou Chen, Olivier Galibert, Abdel

Messaoudi, Holger Schwenk, LIMSI-CNRS, France

SS-1.5: MULTILINGUAL TEXT-TO-SPEECH SYNTHESIS Ill - 761

Alan Black, Carnegie Mellon University, United States; Kevin Lenzo, Cepstral, LLC, United States

SS-1.6: TOWARDSLANGUAGE PORTABILITY IN STATISTICAL SPEECH TRANSLATION Ill - 765

Alex Waibel, Tanja Schultz, Stephan Vogel, Carnegie Mellon University, United States; Christian Fiigen, Matthias Honal,

Muntsin Kolss, Jiirgen Reichert, Sebastian Stiiker, Karlsruhe University, Germany

SS-1.7: BILINGUAL CHINESE/ENGLISH VOICE BROWSING BASED ONA VOICEXML Ill - 769

PLATFORM

Helen Meng, Yuk-Chi Li, Tien-Ying Fung, Kon-Fan Low, Ka-Fai Chow, Tin-Hang Lo, Man-Cheuk Ho, P. C. Ching, Chinese

University ofHong Kong, Hong Kong SAR of China

SS-2: MULTI-SENSORY PROCESSING FOR CONTEXT-AWARE COMPUTING

SS-2.1: OFFICE PRESENCE DETECTION USING MULTIMODAL CONTEXT INFORMATION Ill - 773

Xiao Huang, Juyang Weng, Michigan State University, United States; Zhengyou Zhang, Microsoft Research, United States

SS-2.2: TOWARDSPRACTICAL DEPLOYMENT OF AUDIO-VISUAL SPEECH RECOGNITION Ill - 777

Gerasimos Potamianos, Chalapathy Neti, Jing Huang, Jonathan H. Connell, Stephen Chu, Vit Libal, Etienne Marcheret, Norman

Haas, IBM T. J. Watson Research Center, United States; Jintao Jiang, House Ear Institute, United States

SS-2.3: MULTI-SENSORY MICROPHONES FOR ROBUST SPEECH DETECTION, Ill - 781

ENHANCEMENTAND RECOGNITION

Zhengyou Zhang, Zicheng Liu, Mike Sinclair, Alex Acero, Li Deng, Jasha Droppo, Microsoft Research, United States; Xuedong

Huang, Microsoft Corporation, United States; Yanli Zheng, University ofIllinois at Urbana-Champaign, United States

SS-2.4: AUDIO VISUAL WORD SPOTTING Ill - 785

Ming Liu, Ziyou Xiong, University ofIllinois at Urbana-Champaign, United States; Stephen Chu, IBM T. J. Watson Research

Center, United States; Zhenqiu Zhang, Thomas S. Huang, University ofIllinois at Urbana-Champaign, United States

SS-2.5: CHARACTERIZATION AND EXTRACTION OF MOUTH OPENING PARAMETERS Ill - 789

AVAILABLE FOR AUDIOVISUAL SPEECH ENHANCEMENT

Frederic Berthommier, ICP, France

SS-2.6: VEHICLE DETECTION AND TRACKING USING ACOUSTIC AND VIDEO SENSORS Ill - 793

Rama Chellappa, University ofMaryland, College Park, United States; Gang Qian, Arizona State University, United States;

Qinfen Zheng, University ofMaryland, College Park, United States

Ixvi

SS-3: WIRELESS COMMUNICATIONS OVERRAPIDLY TIME-VARYING CHANNELS

SS-3.1: SEMI-BLIND TIME-VARYING CHANNEL ESTIMATIONUSING SUPERIMPOSED Ill - 797

TRAINING

Xiaohong Meng, Jitendra Tugnait, Auburn University, United States

SS-3.2: TIME-DOMAIN CHANNEL SHORTENING AND EQUALIZATION OF OFDMOVER Ill - 801

DOUBLY-SELECTIVE CHANNELS

ImadBarhumi, Katholieke Universiteit Leuven, Belgium; Geert Leus, Delft University of Technology, Netherlands; Marc

Moonen, Katholieke Universiteit Leuven, Belgium

SS-3.3: MULTIPULSE MULTICARRIER COMMUNICATIONS OVERTIME-VARYING FADING Ill - 805

CHANNELS: PERFORMANCE ANALYSIS AND SYSTEM OPTIMIZATION

Manfred Hartmann, Gerald Matz, Dieter Schafhuber, Vienna University of Technology, Austria

SS-3.4: OPTIMAL TRAINING OVERTHE GAUSS-MARKOV FADING CHANNEL: A CUTOFF Ill - 809

RATE ANALYSIS

Saswat Misra, Ananthram Swami, Army Research Laboratory, United States; Lang Tong, Cornell University, United States

SS-3.5: FUNDAMENTAL DEPENDENCIES IN ANGLE-DELAY-DOPPLERIN WIRELESS Ill - 813

CHANNELS

AkbarM. Sayeed, University of Wisconsin, United States

SS-3.6: ON THE DESIGN OF NON-(BI)ORTHOGONAL PULSE-SHAPED FDMFOR Ill - 817

DOUBLY-DISPERSIVE CHANNELS

Philip Schniter, Ohio State University, United States

SS-3.7: OPTIMAL TRAINING FOR MIMO FADING CHANNELS WITH TIME- AND Ill - 821

FREQUENCY-SELECTIVITY

Liuqing Yang, University ofMinnesota, United States; Xiaoli Ma, Auburn University, United States; Georgios B. Giannakis,

University ofMinnesota, United States

SS-4: SIGNAL PROCESSING FOR WIRELESS SENSOR NETWORKS I

SS-4.1: SENSOR SCHEDULING ALGORITHMS REQUIRING LIMITED COMPUTATION Ill - 825

Vijay Gupta, Timothy Chung, Babak Hassibi, Richard M Murray, California Institute of Technology, United States

SS-4.2: DISTRIBUTED SOURCE-CHANNEL CODING FOR WIRELESS SENSOR Ill - 829

NETWORKS

Michael Gastpar, University ofCalifornia, Berkeley, United States

SS-4.3: DISTRIBUTED OPPORTUNISTICTRANSMISSION FOR WIRELESS SENSOR Ill - 833

NETWORKS

Qing Zhao, Lang Tong, Cornell University, United States

SS-4.4: THE IMPACT OF FADING ONDECENTRALIZED DETECTION IN POWER Ill - 837

CONSTRAINED WIRELESS SENSOR NETWORKS

Jean-Franqois Chamberland, Venugopal Veeravalli, University ofIllinois, United States

SS-4.5: TOCOOPERATE ORNOT TO COOPERATE: DETECTION STRATEGIES IN SENSOR Ill - 841

NETWORKS

Michael A. Lexa, Christopher J. Rozell, Sinan Sinanovic, DonH. Johnson, Rice University, United States

SS-4.6: CHANNEL OPTIMIZED BINARY QUANTIZERS FOR DISTRIBUTED SENSORUI - 845

NETWORKS

Biao Chen, Syracuse University, United States; Peter Willett, University ofConnecticut, United States

Ixvii

SS-5: SIGNAL PROCESSING FOR WIRELESS SENSOR NETWORKS II

SS-5.1: DISTRIBUTED SPECTRUM ESTIMATION IN SENSOR NETWORKS Ill - 849

Omicl Jahromi, Parham Aarabi, University of Toronto, Canada

SS-5.2: EFFECT OF MACDESIGN ON SOURCE ESTIMATION IN DENSE SENSOR Ill - 853

NETWORKS

Min Dong, Lang Tong, Cornell University, United States; Brian Sadler, Army Research Laboratory, United States

SS-5.3: MANIFOLD LEARNING ALGORITHMS FOR LOCALIZATION IN WIRELESS SENSOR Ill - 857

NETWORKS

Neal Patwari, Alfred O. Hero HI, University ofMichigan, United States

SS-5.4: NONPARAMETRIC BELIEF PROPAGATION FOR SENSOR SELF-CALIBRATION Ill - 861

Alexander Ihler, John Fisher, Massachusetts Institute of Technology, United States; Randolph Moses, Ohio State University,United States; Alan Willsky, Massachusetts Institute of Technology, United States

SS-5.5: FUSION IN SENSOR NETWORKS: CONVERGENCE STUDY Ill - 865

Elijah Liu, Jose Moura, Carnegie Mellon University, United States

SS-5.6: DISTRIBUTED CHANGE DETECTION IN LARGE SCALE SENSOR NETWORKS Ill - 869

THROUGH THE SYNCHRONIZATION OF PULSE-COUPLED OSCILLATORS

Yao-Win Hong, Anna Scaglione, Cornell University, United States

SS-5.7: ASYMPTOTICALLY OPTIMAL DECENTRALIZED TYPE-BASED DETECTION IN Ill - 873

WIRELESS SENSORNETWORKS

Ke Liu, Akbar M. Sayeed, University of Wisconsin-Madison, United States

SS-6: CONVOLUTIVE BLIND SOURCE SEPARATION FOR SPEECH AND AUDIO SIGNALS

SS-6.1: GENERALIZED SPARSE SIGNAL MIXING MODEL AND APPLICATION TO NOISY HI - 877

BLIND SOURCE SEPARATION

Justinian Rosea, Christian Borss, Radu Balan, Siemens Corporate Research, United States

SS-6.2: UNDERDETERMINED BLIND SEPARATION FOR SPEECH IN REAL Ill - 881

ENVIRONMENTS WITH SPARSENESS AND ICA

Shoko Araki, Shoji Makino, NTT Corporation, Japan; Audrey Blin, Universite du Quebec, Canada; Ryo Mukai, Hiroshi Sawada,

NTT Corporation, Japan

SS-6.3: CONVOLUTIVE BLINDSOURCE SEPARATION FOR MORE THAN TWO SOURCES Ill - 885

IN THE FREQUENCYDOMAIN

Hiroshi Sawada, Ryo Mukai, Shoko Araki, Shoji Makino, NTT Corporation, Japan

SS-6.4: TRINICON: A VERSATILE FRAMEWORK FOR MULTICHANNEL BLIND SIGNAL Ill - 889

PROCESSING

Herbert Buchner, Robert Aichner, Walter Kellermann, Universitat Erlangen-Niirnberg, Germany

SS-6.5: BLIND SOURCE SEPARATION IN MOBILEENVIRONMENTS USING A PRIORI Ill - 893

KNOWLEDGE

Erik Visser, Te-Won Lee, SoftMax, Inc., United States

SS-6.6: FAST COVERGENCE SPEECH SOURCE SEPARATION IN REVERBERANT ACOUSTIC Ill - 897

ENVIRONMENT

Yunxin Zhao, Rang Hu, University ofMissouri-Columbia, United States

Ixviii

SS-7: DISTRIBUTED DIGITAL SIGNAL PROCESSING FOR SENSOR NETWORKING

SS-7.1: ON COMPRESSION USING THEDISTRIBUTED KARHUNEN-LOEVE TRANSFORM Ill - 901

Michael Gastpar, University ofCalifornia, Berkeley, United Stales; PierLuigi Dragotti, Imperial College, United Kingdom;Martin Vetterli, Swiss Federal Institute ofTechnology (EPFL), Switzerland

SS-7.2: EVALUATING AVERAGE CAUSAL EFFECT USING WIRELESS SENSOR NETWORKS Ill - 905

Mark Coates, Ioannis Psaromiligkos, McGill University, Canada

SS-7.3: PROVIDING COMMON I/O CLOCK FORWIRELESS DISTRIBUTED PLATFORMS Ill - 909

Dmitry Budnikov, Igor Chikalov, Sergey Egorychev, Igor Kozintsev, Rainer Lienhart, Intel Corporation, Russian Federation

SS-7.4: RATE-DISTORTIONPROBLEM FOR PHYSICS BASED DISTRIBUTED SENSING HI - 913

Baltasar Beferull-Lozano, Robert Konsbruck, Martin Vetterli, Swiss Federal Institute ofTechnology (EPFL), Switzerland

SS-7.5: LOWER BOUNDS OF LOCALIZATION UNCERTAINTY IN SENSOR NETWORKS HI - 917

Hanbiao Wang, Len Yip, Kung Yao, Deborah Estrin, University of California, Los Angeles, United States

SS-7.6: DECENTRALIZEDSOURCE LOCALIZATIONANDTRACKING ffl - 921

Michael Rabbat, Robert Nowak, University of Wisconsin-Madison, United States

SS-7.7: ON DISTRIBUTED SAMPLING OF BANDLIMITED ANDNON-BANDLIMITED HI - 925

SENSOR FIELDS

Animesh Kumar, Prakash Ishwar, Kannan Ramchandran, University of California, Berkeley, United States

SS-7.8: DISTRIBUTED MAXIMUM LIKELIHOOD ESTIMATION FOR SENSOR NETWORKS HI - 929

Down Blatt, Alfred O. Hero III, University ofMichigan, United States

SS-8: INNOVATIONS IN SAMPLING THEORY AND APPLICATIONS

SS-8.1: RADAR IRREGULAR SAMPLING Ill - 933

Radmila Pribic, Thales Naval Nederland, Netherlands

SS-8.2: SIGMA-DELTA QUANTIZATION AND FINITE FRAMES Ill - 937

John Benedetto, Ozgur Yilmaz, University ofMaryland, College Park, United States; Alexander Powell, Princeton University,

United Slates

SS-8.3: RECONSTRUCTIONFROM MISSING FUNCTION AND DERIVATIVE SAMPLES AND Ill - 941

OVERSAMPLED FILTERBANKS

Dorabella Santos, Paulo Ferreira, Universidade de Aveiro, Portugal

SS-8.4: SIGNAL SAMPLING AND RECOVERY WITHLONG-RANGEDEPENDENT ERRORS Ill - 945

Mirek Pawlak, University ofManitoba, Canada

SS-8.5: HOW TOTAKE ADVANTAGE OF ALIASING IN BANDLIMITED SIGNALS Ill - 948

Patrick Vandewalle, Luciano Sbaiz, Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland; Joos Vandewalle,

Katholieke Universiteit Leuven, Belgium; Martin Vetterli, Swiss Federal Institute ofTechnology Lausanne (EPFL), Switzerland

SS-8.6: QUANTITATIVE LA2 APPROXIMATION ERROROF A PROBABILITY DENSITY ni - 952

ESTIMATE GIVEN BY IT SAMPLES

Thierry Blu, Michael Unser, Swiss Federal Institute of Technology (EPFL), Switzerland

SS-9: ADVANCES IN SIGNAL PROCESSING FOR POSITIONING, TRACKING, AND

NAVIGATION

SS-9.1: MOBILELOCATION WITH BIAS TRACKING IN NON-LINE-OF-SIGHT Ill - 956

Montse Ndjar, Jose M. Huerta, Josep Vidal, J. Antonio Castro, Universitat Politecnica de Catalunya (UPC), Spain

Ixix

SS-9.2: TRACKINGOF MULTIPLE MANEUVERING TARGETS USING MULTISCAN JPDA Ill - 960

AND IMM SMOOTHING

Sumedh Puranik, Jitendra Tugnait, Auburn University, United States

SS-9.3: A RAO-BLACKWELLIZED PARTICLE FILTER FOR INS/GPS INTEGRATION Ill - 964

Audrey Giremus, IRIT/ENSEEIHT/TeSA, University ofToulouse, France; Arnaud Doucet, University of Cambridge, United

Kingdom; Vincent Calmettes, SUPAERO/T4SA, University ofToulouse, France; Jean-Yves Tourneret, IRIT/ENSEEIHT/TeSA,

university ofToulouse, France

SS-9.4: MANEUVERING TARGETTRACKING USING COST REFERENCE PARTICLE Ill - 968

FILTERING

Monica F. Bugallo, Shanshan Xu, Stony Brook University, United States; Joaquin Miguez, Universidade da Coruha, Spain; Petar

M. Djuric, Stony Brook University, United States

SS-9.5: SEQUENTIAL ACOUSTIC ENERGY BASED SOURCE LOCALIZATION USING Ill - 972

PARTICLE FILTER IN A DISTRIBUTED SENSOR NETWORK

Xiaohong Sheng, Yu-HenHu, University of Wisconsin-Madison, United States

SS-9.6: MODELS AND ALGORITHMS FOR TRACKING USING TRANS-DIMENSIONAL Ill - 976

SEQUENTIAL MONTE CARLO

Simon Godsill, Jaco Vermaak, University ofCambridge, United Kingdom

SS-10: MANIFOLDS AND GEOMETRYIN SIGNAL PROCESSING

SS-10.1: DETECTING THE PRESENCE OF AN INHOMOGENEOUS REGION IN A Ill - 980

HOMOGENEOUS BACKGROUND: TAKING ADVANTAGES OF THEUNDERLYING GEOMETRY VIA

MANIFOLDS

Xiaoming Huo, Jihong Chen, Georgia Institute ofTechnology, United States

SS-10.2: EXPLORATORY ANALYSIS AND VISUALIZATION OF SPEECH AND MUSIC BY Ill - 984

LOCALLY LINEAR EMBEDDING

VirenJain, Lawrence Saul, University ofPennsylvania, United States

SS-10.3: MANIFOLD LEARNING USING EUCLIDEAN k-NEARESTNEIGHBOR GRAPHS Ill - 988

Jose Costa, Alfred 0. Hero III, University ofMichigan, United States

SS-10.4: COARSE-TO-FINE MANIFOLD LEARNING Ill - 992

Rui Castro, Rebecca Willett, Rice University, United States; Robert Nowak, University of Wisconsin-Madison, United States

SS-10.5: DIRECTIONAL HYPERCOMPLEXWAVELETS FOR MULTIDIMENSIONAL SIGNAL Ill - 996

ANALYSIS AND PROCESSING

Wai Lam Chan, Hyeokho Choi, Richard Baraniuk, Rice University, United States

SS-10.6: TIKHONOV REGULARIZATONAND SEMI-SUPERVISED LEARNING ON LARGE Ill -1000

GRAPHS

Mikhail Belkin, Irina Matveeva, Partha Niyogi, University of Chicago, United States

SS-11: LOSSLESS CODING TECHNIQUES FOR AUDIO SIGNALS

SS-ll.l: A SCALABLE LOSSY TO LOSSLESS AUDIO CODER FORMPEG-4LOSSLESS AUDIO Ill -1004

CODING

Rongshan Yu, Xiao Lin, Susanto Rahardja, Institute for Infocomm Research, Singapore; Chi Chong Ko, National University ofSingapore, Singapore

SS-11.2: EXTENDED LINEAR PREDICTION TOOLS FOR LOSSLESS AUDIO CODING Ill -1008Takehiro Moriya, NTT, Japan; Dai Yang, University ofSouthern California, United States; Tilman Liebchen, Technical

University ofBerlin, Germany

Ixx

SS-11.3: AN INTRODUCTION TOMPEG-4 AUDIO LOSSLESS CODING Ill -1012

Tilman Liebchen, Technical University ofBerlin, Germany

SS-11.4: A LOSSLESS AUDIO COMPRESSION SCHEME WITH RANDOM ACCESS Ill -1016

PROPERTY

Dai Yang, University ofSouthern California, United States; Takehiro Moriya, NTT DoCoMo, Japan; Tilman Liebchen, Technical

University ofBerlin, Germany

SS-11.5: LOSSLESS COMPRESSION OF ONE-BIT AUDIO Ill -1020

Ei-win Janssen, Philips Research Laboratories, Netherlands; Eric Knapen, Philips Digital Systems Laboratories, Netherlands;

Derk Reefman, Fons Bruekers, Philips Research Laboratories, Netherlands

SS-11.6: CODINGOF PREDICTION RESIDUAL IN MPEG-4 STANDARD FOR LOSSLESS Ill -1024

AUDIO CODING (MPEG-4 ALS)

Yuriy Reznik, RealNetworks, Inc., United States

SS-12: INFORMATION FUSION FOR MULTIMEDIA ANNOTATION AND RETRIEVAL

SS-12.1: A GENERIC NEWS STORY SEGMENTATION SYSTEMAND ITS EVALUATION Ill -1028

Neil O'Hare, Alan Smeaton, Csaba Czirjek, Noel O'Connor, Noel Murphy, Dublin City University, Ireland

SS-12.2: EXPLOITINGMULTIPLE MODALITIESFOR INTERACTIVE VIDEO RETRIEVAL Ill -1032

Michael Christel, Chang Huang, Neema Moraveji, Norman Papernick, Carnegie Mellon University, United States

SS-12.3: SEARCHING FOR A SPECIFIC PERSON IN BROADCAST NEWS VIDEO Ill -1036

Ming-yu Chen, Alexander Hauptmann, Carnegie Mellon University, United States

SS-12.4: A COMPARATIVE STUDY OF EVIDENCE COMBINATION STRATEGIES Ill -1040

Alexei Yavlinsky, Marcus Pickering, Daniel Heesch, Stefan Ruger, Imperial College, London, United Kingdom

SS-12.5: STATISTICAL MODELS FORAUTOMATIC VIDEO ANNOTATION AND RETRIEVAL Ill -1044

V. Lavrenko, S. L. Feng, R. Manmatha, University ofMassachusetts, United States

SS-12.6: MULTIMODALVIDEO SEARCH TECHNIQUES: LATE FUSION OF SPEECH-BASED Ill -1048

RETRIEVAL AND VISUAL CONTENT-BASED RETRIEVAL

ArnonAmir, IBM Almaden Research Center, United States; Giridharan Iyengar, Ching-Yung Lin, Milind Naphade, ApostolNatsev, Chalapathy Neti, Harriet J. Nock, John R. Smith, Belle Tseng, IBM T. J. Watson Research Center, United States

SS-12.7: COMBINING MULTIPLE REPRESENTATIONS ON THE TRECVID SEARCH TASK Ill -1052

Arjen de Vries, Thijs Westerveld, Centrum voor Wiskunde en Informatica, Netherlands; Tzveta laneva, Universitat de Valencia,

Spain

SS-13: OBJECTIVE QUALITY ASSESSMENT OF SPEECH

SS-13.1: PERCEPTUAL SPEECH QUALITY ASSESSMENT - A REVIEW Ill -1056

Antony Rix, Psytechnics Ltd., United Kingdom

SS-13.2: PERCEPTUALMODELFOR NON-INTRUSIVE SPEECH QUALITY ASSESSMENT Ill -1060

Doh-Suk Kim, Ahmed Tarraf, Lucent Technologies, United States

SS-13.3: PERCEPTUAL SPEECH QUALITY ASSESSMENTIN ACOUSTIC AND BINAURAL Ill -1064

APPLICATIONS

Thomas Goldstein, Antony Rix, Psytechnics Ltd., United Kingdom

SS-13.4: COMPENSATING FORGAIN IN OBJECTIVE QUALITY ESTIMATION ALGORITHMS Ill -1068

Stephen Voran, Institutefor Telecommunication Sciences, United States

SS-13.5: OPINION MODEL FORESTIMATING CONVERSATIONAL QUALITY OFVOIP Ill -1072

Akira Takahashi, NTT, Japan

Ixxi

SS-13.6: QUALITY CONTROL FORAMR SPEECH CHANNELS IN GSMNETWORKS III -1076

Marc Werner, Thomas Junge, Peter Vary, RWTH Aachen, Germany

Volume IV

AE-Ll: HEARINGAIDS ANDAUDITORY MODELING

AE-L1.1: IMPORTANCE OF PITCH AND PERIODICITY TO CHINESE-SPEAKING COCHLEAR IV -1

IMPLANT PATIENTS

Xin Luo, Qian-Jie Fu, House Ear Institute, United States

AE-L1.2: R-HINT-E: A REALISTIC HEARING IN NOISE TEST ENVIRONMENT IV - 5

Karl Wiklund, Ranil Sonnadara, Laurel Trainor, Simon Haykin, McMaster University, Canada

AE-L1.3: A REALTIME IMPLEMENTATIONAND ANEVALUATION OFAN OPTIMAL IV - 9

FILTERING TECHNIQUE FOR NOISE REDUCTION IN DUAL MICROPHONE HEARING AIDS

Jean-Baptiste Maj, Liesbeth Royackers, Jan Wouters, Katholieke Universiteit Leuven, Belgium

AE-L1.4: VOWEL AND CONSONANT CONFUSION IN NOISE BY COCHLEAR IMPLANT IV -13

SUBJECTS: PREDICTING PERFORMANCEUSING SIGNALPROCESSING TECHNIQUES

Jeremiah Remus, Leslie Collins, Duke University, United States

AE-L1.5: SPEECH PROCESSING FOR HEARING AIDS FORMODERATE BILATERAL IV -17

SENSORINEURAL HEARING LOSS

Alice N. Cheeran, Prem C Pandey, Indian Institute of Technology, Bombay, India

AE-L1.6: THEORETICAL PREDICTION OF DYNAMIC RANGE AND INTENSITY IV - 21

DISCRIMINATION FOR ELECTRICAL NOISE-MODULATED PULSE-TRAIN STIMULI

Yifang Xu, Leslie Collins, Duke University, United States

AE-L2: SPATIAL AND MULTICHANNEL AUDIO

AE-L2.1: BOUNDARY CONDITIONS IN A MULTI-DIMENSIONAL DIGITAL WAVEGUIDE IV - 25

MESH

Antti Kelloniemi, Helsinki University ofTechnology, Finland; Damian T. Murphy, University of York, United Kingdom; Lauri

Savioja, Vesa Vdlimaki, Helsinki University of Technology, Finland

AE-L2.2: A NOVEL APPROACH TO ACTIVE LISTENING ROOM COMPENSATION FORWAVE IV - 29

FIELD SYNTHESIS USING WAVE-DOMAIN ADAPTIVE FILTERING

Sascha Spors, Herbert Buchner, RudolfRabenstein, Universitdt Erlangen-Ntirnberg, Germany

AE-L2.3: LOW-ORDER MODELING AND GROUPING OF HRTFS FORAURALIZATION IV - 33

USING WAVELET TRANSFORMS

Julio Torres, Mariane Petraglia, Roberto Tenenbaum, Federal University ofRio de Janeiro, Brazil

AE-L2.4: SUBSPACE PROJECTION OF MULTICHANNEL AUDIODATAFORAUTOMATIC IV - 37

CONTROL OF MOTION-PLATFORM-BASED MULTIMEDIA DISPLAY SYSTEMS

William Martens, Wieslaw Woszczyk, McGill University, Canada

AE-L2.5: FLEXIBLE LAYOUT AND OPTIMAL CANCELLATION OFTHE ORTHONORMALITY IV - 41

ERRORFOR SPHERICAL MICROPHONE ARRAYS

Zhiyun Li, Ramani Duraiswami, Elena Grassi, Lany Davis, University ofMaryland, College Park, United States

Ixxii