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Proceedings Paper

Content-based video retrieval integrating human perception
Author(s): Yi Wu; Yueting Zhuang; Yunhe Pan
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Paper Abstract

Content-based video retrieval system is one of the important design issues of multimedia, mainly depending on its visual and spatio-temporal characteristic. But until now, well- defined model for video retrieval is still at rudimentary stage. We propose a unified video retrieval model to simulate human perception. Given an arbitrary video, considering all the factors existing in human vision perception, we can find similar ones from large video repository within time limitation. This kind of measurement simulates the rules in human being's judgement, so it can be close to the real need. Furthermore, integrating with feedback, the results can be adjusted according to user's preference. This learning strategy can emphasize the aspect user cares about, and embodies int in the next iteration of similarity computing. In this way, retrieval results can be optimized greatly.

Paper Details

Date Published: 1 January 2001
PDF: 9 pages
Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); doi: 10.1117/12.410968
Show Author Affiliations
Yi Wu, Zhejiang Univ. (United States)
Yueting Zhuang, Zhejiang Univ. (China)
Yunhe Pan, Zhejiang 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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