------------------------------------------------------------------ IEEE Workshop on Content-based Access of Image and Video Libraries ------------------------------------------------------------------ (CBAIVL-2001) In conjunction with IEEE CVPR-2001 Kauai, Hawaii USA Friday, December 14, 2001 http://pmedia.i2.ibm.com:8000/cbaivl/ -----------------CALL FOR PAPERS-------------------- The objective of this workshop is to promote information exchange and technical interaction among researchers working on algorithms and systems for content-based access of image and video libraries. Computer vision and pattern recognition in conjunction with image processing, database systems and information retrieval plays a critical role in solving many important problems in image and video libraries. This workshop focuses on technical challenges in areas of image and video content analysis, representation, indexing, retrieval, classification, and summarization, as follows: Analysis: * Image segmentation and object extraction * Video parsing, shot detection and key-frame extraction * Compressed-domain feature extraction * Multi-modal, multi-feature analysis Representation: * Image and video content description * Visual feature representation and description * Languages for content description * Content-aware image and video compression Indexing: * Multi-dimensional access methods * High-dimensional index structures * Support for fast approximate querying * Self-tuning indexing mechanisms Retrieval: * Searching and filtering using MPEG-7 * Multi-search and composite object querying * Relevance feedback * Image and video library interoperability Classification: * Image and video classification systems * Semantic ontologies and taxonomies * Multi-level, multi-feature classification * Graphical and compositional classification models Summarization: * Generation of video summaries * Personalization of image and video content * Mining algorithms for image and video libraries Evaluation: * Image and video retrieval evaluation test-beds * Benchmark queries and collections * Retrieval effectiveness evaluation methods * Methods for determining ground-truth Applications: * Image and video search engines * Digital television and video libraries * Browsing, visualization and user interfaces * Stock photography distribution, entertainment, precision farming, oil exploration, medical imaging, and others Original papers are solicited in, but are not limited to the above technical areas. PAPER SUBMISSIONS: Four copies of a complete manuscript should be sent by July 3rd, 2001 to: John R. Smith IBM T. J. Watson Research Center 30 Saw Mill River Road Hawthorne, NY 10532 USA Tel: (914) 784-7320 Email: jrsmith@watson.ibm.com Each paper should include a title page containing name and address of the authors (including e-mail address), an abstract of up to 200 words and five subject keywords. Each paper is limited to 5 single-spaced pages (or 10 double) including figures, tables and references. DEADLINES AND REVIEW SCHEDULE: Initial draft due: July 3, 2001 Notifications to be sent on: August 31, 2001 Final manuscript due: September 28, 2001 Workshop date: December 14, 2001 GENERAL CHAIRS: John R. Smith, IBM T. J. Watson Research Center Avi Kak, Purdue University TECHNICAL PROGRAM COMMITTEE: Carla E. Brodley, Purdue University Edward Chang, Univ. California at Santa Barbara Nevenka Dimitrova, Philips Research Theo Gevers, University of Amsterdam (The Netherlands) Arun Hampapur, IBM T. J. Watson Research Corinne Jorgensen, SUNY Buffalo C. C. (Jay) Kuo, Univ. Southern California Clement Leung, Victoria University (Australia) Chung-Sheng Li, IBM T. J. Watson Research Center Rainer W. Lienhart, Intel Corp. Wei-Ying Ma, Hewlett-Packard Laboratories Bernard Merialdo, Institut EURECOM Tanveer Syeda-Mahmood, IBM Almaden Research Ctr. Antonio Ortega Univ., Southern California Dulce Ponceleon, IBM Almaden Research Ctr. Hawley Rising, Sony US Research Labs Philippe Salembier, UPC (Spain) Stan Sclaroff, Boston University Linda Shapiro, Univ. of Washington Uma Srinivasan, CSIRO Mathematical and Information Sciences (Australia) Wayne Wolf, Princeton University Hong-Jiang Zhang, Microsoft Research, China