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