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Proceedings Paper

Image retrieval framework driven by association feedback with feature element evaluation built in
Author(s): Yin Xu; Yujin Zhang
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Paper Abstract

An original image retrieval framework is proposed and developed. Different from the popular systems of retrieval, we break features into feature elements - FEs which have meaningful visual sense instead of combining them to get semantic meanings. These feature elements are evaluated according to the subjective perception of human beings. As result, three classes of feature elements are obtained as important FEs, extend FEs and trivial FEs. Each class of feature elements is organized to form the FE Data Set. Then the retrieval process is turned into searching the feature elements in corresponding sets. Interactive function is also built in. With association feedback, the associated feature elements of both user interest and the given retrieval result are detected and analyzed. Thus, the system can grasp the user's target more accurately. Even if the user switches to other retrieval interest, the system can also trace it by the associated part of the feature elements. As the whole approach is based on the instinctive perception, fine effect is reached.

Paper Details

Date Published: 1 January 2001
PDF: 12 pages
Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); doi: 10.1117/12.410920
Show Author Affiliations
Yin Xu, Tsinghua Univ. (China)
Yujin Zhang, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 4315:
Storage and Retrieval for Media Databases 2001
Minerva M. Yeung; Chung-Sheng Li; Rainer W. Lienhart, Editor(s)

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