PROCEEDINGS

2000 International Conferenceon Image Processing

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/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

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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