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                    ACM CIVR 2008 CALL FOR PAPERS

          International Conference on Image and Video Retrieval

                           July 7-9, 2008
            Sheraton Fallsview Hotel, Niagara Falls, Canada
                      http://www.civr2008.org

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Overview

The International Conference on Image and Video Retrieval (CIVR)
series of conferences was originally set up to illuminate the state of
the art in image and video retrieval between researchers and
practitioners throughout the world. This conference aims to provide an
international forum for the discussion of challenges in the fields of
image and video retrieval. CIVR2008 is seeking original high quality
submissions addressing innovative research in the broad field of image
and video retrieval.

Topics of interest (not limited to)
•     Content-based indexing, search, and retrieval of images & videos
•     Semantic-based indexing, search, and retrieval of images & videos
•     Affect-based indexing, search, and retrieval of images & videos
•     Advanced descriptors and similarity metrics for images and video
•     Learning and relevance feedback in image/video retrieval
•     Ontologies for annotation and search of images and videos
•     Fusion of multimedia
•     3D images and models
•     Image/video summarization and visualization
•     Evaluation of image and video retrieval systems
•     Database architectures for image/video retrieval
•     Novel image data management systems and applications
•     High performance image/video indexing algorithms
•     Image/video search and browsing on the Web
•     Retrieval from multimodal lifelogs
•     Applications in satellite, forensic, biomedical image and video collections
•     HCI issues in image and video retrieval
•     Novel image data management systems and applications

Important Dates:
Paper submission deadline:  January 28, 2008
Notification of acceptance:  March 10, 2008
Camera ready papers due:  March 31, 2008

Lei Zhang, Ph.D, Lead Researcher
Microsoft Research, Asia
49 Zhichun Road, Haidian District
Beijing 100080, China
Tel: (86-10) 58963197
Fax: (86-10) 88097306

http://research.microsoft.com/users/leizhang