Automatic generation of soccer video content hierarchy by mapping low-level features to high-level semantics

Jianyun Chen; Yunhao Li; Song-Yang Lao; Ling-Da Wu

doi:10.1117/12.539019

25 September 2003 Automatic generation of soccer video content hierarchy by mapping low-level features to high-level semantics

Jianyun Chen, Yunhao Li, Song-Yang Lao, Ling-Da Wu

Author Affiliations +

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.539019
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

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.

Citation Download Citation

Jianyun Chen, Yunhao Li, Song-Yang Lao, and Ling-Da Wu "Automatic generation of soccer video content hierarchy by mapping low-level features to high-level semantics", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.539019

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