First International Workshop on Computer Vision meets Databases CVDB 2004 June 13, 2004 Maison de la Chimie, Paris, France http://cvdb04.irisa.fr (in conjunction with ACM SIGMOD/PODS 2004, pending final approval from ACM) For decades, the computer vision community has been working on content-based multimedia retrieval. Researchers from that community aim at defining better content-based descriptors and extracting them from images. The descriptors obtained are often represented as points in multi-dimensional spaces and some metrics are used during similarity retrieval. Their focus is on increasing the recognition power of their schemes and they usually evaluate their strength using data sets that fit in main memory because they try to avoid the secondary storage management burden. Facilitating the management of very large amounts of data and removing this disk burden has long been a strong motivation for the database community. This is particularly crucial for multimedia databases whose sizes grow very fast. As such, researchers in databases have proposed many smart multidimensional indexing schemes with some elegant algorithms to compute Nearest-Neighbor and Top-N queries. Yet, it is surprising to see that only few works in the computer vision community have adopted any of these indexing schemes. The goal of this workshop is to bridge this gap between the two communities. The idea is to provide database researchers with a snapshot of what computer vision people are dealing with and vice-versa, with the aim of defining some research directions that can benefit both communities. There is great expertise on both sides, and this workshop is aimed at sharing it by means of tutorials and presentations. In addition, we will provide a panel for exchanging ideas with professional image users and/or providers. TOPICS OF INTEREST The main guideline for submitting papers is that they must be at the intersection of the domains mentioned above. Strong preference will be given to papers that use sophisticated description schemes at a very large scale. We are soliciting high quality, original papers, which address a range of issues in multimedia information retrieval including, but not limited to: - Content-based indexing, search, and retrieval of multimedia data - Approximate search techniques and the quality of answers - High-dimensional clustering for indexing - Query languages and query processing for multimedia retrieval - Joint exploitation of multiple media - Automated semantic content analysis and annotation - Metadata for multimedia retrieval - Multi-modal human-computer interaction - User perspectives - User modeling - Color models and image descriptors for very large image sets - Metrics for data comparison - Description of compressed documents - Multimedia data clustering and mining - Multimedia data modeling and visualization - Analysis of multimedia data in high-dimensional spaces: statistics, noise, distribution, PCA, skew, ... - Scalability issues - Tools, benchmarks, evaluation protocols and standards PAPER SUBMISSIONS Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum. Manuscripts should be submitted electronically as PDF files and be formatted using the camera-ready templates available at http://www.acm.org/sigs/pubs/proceed/template.html. Papers cannot exceed six pages in length and must be in written in English. Detailed submission instructions will be available at the electronic submission Web site. IMPORTANT DATES Papers due: Wednesday, March 31 (midnight GMT) Notification to authors: Monday April 26 Camera-ready copies due: Sunday May 23 note: the site is opened for paper submission WORKSHOP CO-CHAIRS Laurent Amsaleg, IRISA-CNRS, France Bjvrn ^sr Jsnsson, Reykjavmk University, Iceland Vincent Oria, New Jersey Institute of Technology, USA PROGRAM COMMITTEE * Sibel Adali, Rensselaer Polytechnic Institute, USA * Marie-Aude Aufaure, Sup?lec, France * Ilaria Bartolini, University of Bologna, Italy * Sid-Ahmed Berrani, IRISA-CNRS, France * Catherine Berrut, CLIPS-IMAG, France * Susanne Boll, University of Oldenburg, Germany * Nozha Boujemaa, INRIA Rocquencourt, France * Edward Chang, University of California, Santa Barbara, USA * Chabane Djeraba, LIFL, France * Valerie Gouet, CNAM Paris - INRIA Rocquencourt, France * Patrick Gros, IRISA-CNRS, France * Jarek Gryz, York University, Canada * Amarnath Gupta, San Diego Supercomputer Center, USA * Alexander Hinneburg, Martin-Luther-Univ Halle/Wittenberg, Germany * Silvia Hollfelder, Fraunhofer IPSI, Germany * Norio Katayama, National Institute of Informatics, Japan * Brigitte Kerherve, Universit? du Qu?bec ? Montr?al, Canada * Flip Korn, AT&T Labs-Research, USA * Francois Le Clerc, Thomson Multim?dia R&D, France * Michael Lew, Leiden University, The Netherlands * Maude Manouvrier, Paris IX Dauphine University, * France Jos? Martinez, Ecole Polytechnique de Nantes, France * Noureddine Mouaddib, Ecole Polytechnique de Nantes, France * Marco Patella, University of Bologna, Italy * Eric Pauwels, CWI, Netherlands * Simone Santini, University of California, San Diego, USA * Shin'ichi Satoh, National Institute of Informatics, Japan * Nicu Sebe, University of Amsterdam, The Netherlands * Cyrus Shahabi, University of Southern California, USA * James Wang, Penn State University, USA