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Proceedings Paper

Apply semantic template to support content-based image retrieval
Author(s): Yueting Zhuang; Xiaoming Liu; Yunhe Pan
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Paper Abstract

Content-based multimedia information retrieval is the hot point of researchers in many domains. But traditional feature vector based retrieval method can not provide retrieval on the semantic template automatically in the process of relevance feedback, and construct a network of semantic template with the support of WordNet in the retrieval process, which helps the user to do retrieval on the semantic level. By our approach, in the keyword query of the user, relevant images will be returned to the user by the help of semantic template association even those images are not annotated by keyword. This paper introduces this approach in detail and present an experiment result at the end of this paper.

Paper Details

Date Published: 23 December 1999
PDF: 8 pages
Proc. SPIE 3972, Storage and Retrieval for Media Databases 2000, (23 December 1999); doi: 10.1117/12.373576
Show Author Affiliations
Yueting Zhuang, Zhejiang Univ. (China)
Xiaoming Liu, Zhejiang Univ. (China)
Yunhe Pan, Zhejiang Univ. (China)

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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