CIVR2003
International
Conference on Image and Video Retrieval
in cooperation with the IEEE
July 24-25, 2003
Beckman
Institute
University
of Illinois at Urbana-Champaign
Urbana,
IL 61801
USA
Important Dates:
***** March 3, 2003 ***** (extended deadline): Submission of full paper
April
10, 2003: Notification of acceptance
April
28, 2003: Camera-ready full paper
General Information
As digital imagery and video become prevalent it will be necessary to have effective methods and paradigms to browse, share, and search for visual content. In cooperation with the IEEE Multimedia Signal Processing TC, we are seeking scientific papers which illuminate important topics or introduce novel techniques in the area of image and video retrieval. A unique feature of this conference is the high level of interaction between international researchers and practitioners. Topics of interest include but are not limited to:
Query
models, paradigms, and languages for image/video retrieval
Paper Submission
Email
full papers (no longer than 10 pages in the Springer LNCS style in English),
to
with
the following information:
The proceedings will be published in the Springer Lecture
Notes in Computer Science (LNCS) . The previous proceedings of CIVR2002 can
be found online at
http://link.springer.de/link/service/series/0558/tocs/t2383.htm.
Contact Nicu Sebe (nicu@liacs.nl)
about any questions.
Content-based
indexing, search and retrieval of images & video
Human
perception based image/video retrieval
Image/video
search and browsing on the Web
Similarity
measures between images/video
Semantic
retrieval of images and video
Evaluation
of image and video retrieval systems
Studies
of information-seeking behaviour among image/video users
HCI
issues in image/video retrieval
Database
architectures for image/video retrieval
High
performance image/video indexing algorithms
Novel
image data management systems and applications
Affective/Emotional
interaction or interfaces for image/video retrieval
Indexing and Interaction with bio-medical image databases
Satellite imagery analysis/retrieval
Image/Video
summarization and visualization
Learning
and relevance feedback in image/video retrieval
(1)
Title of paper & short abstract summarizing the main contribution
(2)
Names and contact info of all authors, also specifying the contact author.
(3)
The paper in postscript or PDF format.
