Share Email Print

Proceedings Paper

Image retrieval system based on interactive reduction of feature space
Author(s): Aki Kobayashi; Toshiyuki Yoshida; Yoshinori Sakai
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This paper proposes an image retrieval system, which 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 reducing a multidimensional feature space generated by the image feature vectors. The system presents the user sample images, with a suitable feature vector value, and requires the user's interaction to obtain information regarding application of specific images. The information is then used to appropriately reduce the feature space. This process continues, until the target region is reduced to a suitable volume. Since this method requires neither a real target image nor keywords in retrieving, it is quite simple and practical. Experimental results show the advantage and efficiency of the proposed system.

Paper Details

Date Published: 17 December 1998
PDF: 10 pages
Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); doi: 10.1117/12.333879
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. 3656:
Storage and Retrieval for Image and Video Databases VII
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?