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Sports Video Analysis

Sports Video Analysis

Hua-Tsung Chen, Suh-Yin Lee
Copyright: © 2011 |Pages: 25
ISBN13: 9781616928599|ISBN10: 161692859X|EISBN13: 9781616928612
DOI: 10.4018/978-1-61692-859-9.ch012
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MLA

Chen, Hua-Tsung, and Suh-Yin Lee. "Sports Video Analysis." Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives, edited by Chia-Hung Wei and Yue Li, IGI Global, 2011, pp. 261-285. https://doi.org/10.4018/978-1-61692-859-9.ch012

APA

Chen, H. & Lee, S. (2011). Sports Video Analysis. In C. Wei & Y. Li (Eds.), Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives (pp. 261-285). IGI Global. https://doi.org/10.4018/978-1-61692-859-9.ch012

Chicago

Chen, Hua-Tsung, and Suh-Yin Lee. "Sports Video Analysis." In Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives, edited by Chia-Hung Wei and Yue Li, 261-285. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61692-859-9.ch012

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Abstract

The explosive proliferation of multimedia data necessitates the development of automatic systems and tools for content-based multimedia analysis. Recently, sports video analysis has been attracting more and more attention due to the potential commercial benefits, entertaining functionalities and mass audience requirements. Much research on shot classification, highlight extraction and event detection in sports video has been done to provide the general audience interactive video viewing systems for quick browsing, indexing and summarization. More keenly than ever, the audience desire professional insights into the games. The coach and the players demand automatic tactics analysis and performance evaluation with the aid of multimedia information retrieval technologies. It is also a growing trend to provide computer-assisted umpiring in sports games, such as the well-known Hawk eye system used in tennis. Therefore, sports video analysis is certainly a research issue worth investigation. In this chapter, the authors propose to review current research and give an insight into sports video analysis. The discussion on potential applications and encouraging future work is also presented.

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