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Proceedings Paper

Automatic generation of soccer video content hierarchy by mapping low-level features to high-level semantics
Author(s): Jianyun Chen; Yunhao Li; Song-Yang Lao; Ling-Da Wu
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Paper Abstract

In this paper, we address the problem of semantically generating hierarchical and meaningful content for soccer video by mapping low-level features to high-level semantics. Our goal is to construct a hierarchical and compact content abstraction of soccer video that can serve as an effective index table, allowing users to browse through lots of soccer videos in a flexible and efficient way. And we generated three-layer semantic hierarchies of soccer video according to characteristics of soccer video through bridging the gap between features and semantics. Some experimental results are presented and discussed in the paper.

Paper Details

Date Published: 25 September 2003
PDF: 6 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539019
Show Author Affiliations
Jianyun Chen, National Univ. of Defense Technology (China)
Yunhao Li, National Univ. of Defense Technology (China)
Song-Yang Lao, National Univ. of Defense Technology (China)
Ling-Da Wu, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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