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Proceedings Paper

Semantic retrieval based on feature element constructional model and bias competition mechanism
Author(s): Yin Xu; Yujin Zhang
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Paper Abstract

An original image retrieval framework is proposed and developed. Trying to achieve the semantic retrieval, a novel cognitive model - feature element constructional model is proposed. With its hierachical constructional structure and bias competition mechanism, the new model provides great power for semantic retrieval. Two types of retrieval mode are presented in the new system, which both try to analysis the semantic concept in the query image or semantic command. Then matching from the object to the feature element is carried out to obtain the final result, and our understanding of retrieval “to provide the way of approaching the accurate result” is also embodied.

Paper Details

Date Published: 10 January 2003
PDF: 12 pages
Proc. SPIE 5021, Storage and Retrieval for Media Databases 2003, (10 January 2003); doi: 10.1117/12.476292
Show Author Affiliations
Yin Xu, Tsinghua Univ. (China)
Yujin Zhang, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 5021:
Storage and Retrieval for Media Databases 2003
Minerva M. Yeung; Rainer W. Lienhart; Chung-Sheng Li, Editor(s)

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