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Proceedings Paper

Similarity sequence and its application in shot organization
Author(s): Xuesheng Bai; Guang-you Xu; Yuanchun Shi
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Paper Abstract

Organizing video shots into hierarchy structures is very important for efficient browsing and retrieval on large video databases, and many shot organizing methods have been proposed. Most algorithms are based on automatic clustering schemes, which usually fail to give satisfactory results in real applications. In this paper, we proposed a preprocessing technology for interactive shot organizing - similarity sequence. It differs from traditional shot organizing methods in that it does not classify shots. Rather it reorders the shot sequence so that similar shots appear near each other, thus providing an effective interactive shot organizing interface, leaving the classification to the user. A measure called similarity length was introduced to evaluate the similarity between adjacent shots in a shot sequence, thus an improved genetic algorithm was developed to calculate the similarity sequence. Basic thoughts and implementation details are provided, also with experiment results on real videos and analysis.

Paper Details

Date Published: 17 December 1998
PDF: 10 pages
Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); doi: 10.1117/12.333841
Show Author Affiliations
Xuesheng Bai, Tsinghua Univ. (China)
Guang-you Xu, Tsinghua Univ. (China)
Yuanchun Shi, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 3656:
Storage and Retrieval for Image and Video Databases VII
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

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