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Proceedings Paper

Image retrieval by estimating parameters of distance measure
Author(s): Aki Kobayashi; Toshiyuki Yoshida; Yoshinori Sakai
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Paper Abstract

This paper describes an image retrieval system that searches a database for images similar to a target imagined by a user. The system uses image features, rather than keywords, and retrieves images by estimating distance parameters. We use the Mahalanobis distance as the distance measure. The system, first, presents the user some images with a suitable feature vector value and asks the user to select images that are similar to the target he has in mind. Based on the user's selection, the system revises the distance parameters. This process is continued until the target region is reduced to a suitable volume. Since this method requires neither a real target image nor keywords to do the retrieval, it is quite simple and practical. Experimental results show the advantage and efficiency of the proposed system.

Paper Details

Date Published: 23 December 1999
PDF: 10 pages
Proc. SPIE 3972, Storage and Retrieval for Media Databases 2000, (23 December 1999); doi: 10.1117/12.373575
Show Author Affiliations
Aki Kobayashi, Tokyo Institute of Technology (Japan)
Toshiyuki Yoshida, Tokyo Institute of Technology (Japan)
Yoshinori Sakai, Tokyo Institute of Technology (Japan)

Published in SPIE Proceedings Vol. 3972:
Storage and Retrieval for Media Databases 2000
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

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