Image Clustering System on WWW using Web Texts

Authors:
Wataru Sunayama;Akiko Nagata;Masahiko Yachida
Affiliations:
Hiroshima City University, Japan;Osaka University, Japan;Osaka University, Japan
Venue:
HIS '04 Proceedings of the Fourth International Conference on Hybrid Intelligent Systems
Year:
2004

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Abstract

As the internet becomes the basic resource of information, not only texts but image retrieval systems have appeared. However, many supply only a list of images, so we must seek desired images one by one. Image labeling is one solution to such a problem, in which various words are labeled to an image when extracted from a single Web page. Therefore, this paper proposes an image clustering system that labels images by words related to a search keyword. Relationships are measured by Web pages in WWW. In experiments, users found the intended images faster than ordinary image search system.