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Extracting Sport Video Semantics: Research and Applications

Extracting Sport Video Semantics: Research and Applications
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Author(s): Chia-Hung Yeh (National Sun Yat-sen University, Taiwan), Wen-Yu Tseng (National Sun Yat-sen University, Taiwan), Yu-Dun Lin (National Sun Yat-sen University, Taiwan)and Chih-Chung Teng (National Sun Yat-sen University, Taiwan)
Copyright: 2012
Pages: 14
Source title: Intelligent Multimedia Databases and Information Retrieval: Advancing Applications and Technologies
Source Author(s)/Editor(s): Li Yan (Northeastern University, China)and Zongmin Ma (Northeastern University, China)
DOI: 10.4018/978-1-61350-126-9.ch008

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Abstract

Recent developments in video content analysis contribute to the emergence of multimedia database management. With the rapid growth of digital videos, efficient tools are essential to facilitate content indexing, searching, retrieving, browsing, skimming, and summarization. Sport video analysis has attracted lots of research attention because of its entertainment applications and potential commercial benefits. Sport video analysis aims to identify what excites audiences. Previous methods rely mainly on video decomposition, using domain specific knowledge. Research on suitable and efficient techniques for sport video analysis has been conducted extensively over the last decade. However, several longstanding challenges, such as semantic gap and commercial detection, are still waiting to be resolved. This chapter reviews research on sport video analysis and investigates the potential applications and future trends of sport video analysis.

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