Presentation 1997/7/15
A Comprehensive Image Similarity Retrieval System that utilizes Multiple Feature Vectors in High Dimensional Space
K. Curtis, N. Taniguchi, J. Nakagawa, M. Yamamuro,
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Abstract(in English) HyperMatch is a general purpose image retrieval engine made up of three components; a conventional database, a set of high dimensional image feature indices and a coordinator. Various new and improved high dimensional indexing techniques are discussed for their applicability to different features and distance measurements. The role of the coordinator is to combine the search results from individual indices into an overall measure of similarity. Experiments reveals the coordinator must choose search parameters based on the number of features to be combined, data set size and the number of similar images requested. Important future development work includes index improvement and system evaluation.
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Paper # DE97-33
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Conference Information
Committee DE
Conference Date 1997/7/15(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
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Title (in English) A Comprehensive Image Similarity Retrieval System that utilizes Multiple Feature Vectors in High Dimensional Space
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1st Author's Name K. Curtis
1st Author's Affiliation Database Systems Laboratory NTT Information and Communication Systems Laboratories()
2nd Author's Name N. Taniguchi
2nd Author's Affiliation Database Systems Laboratory NTT Information and Communication Systems Laboratories
3rd Author's Name J. Nakagawa
3rd Author's Affiliation Database Systems Laboratory NTT Information and Communication Systems Laboratories
4th Author's Name M. Yamamuro
4th Author's Affiliation Database Systems Laboratory NTT Information and Communication Systems Laboratories
Date 1997/7/15
Paper # DE97-33
Volume (vol) vol.97
Number (no) 161
Page pp.pp.-
#Pages 6
Date of Issue