A comprehensive study of sports video analysis

Ming Chun Tien, Ja Ling Wu, Wei Ta Chu

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

Commercial applications of video analysis are getting valuable with the development of digital television. People can easily record all kinds of programs and enjoy the videos in their leisure time. Among these programs, broadcasting sports videos are usually more tedious than others since they involve not only the main games, but also break time or commercials. And even main games comprise periods which are not splendid enough for the audience. Therefore, a considerable amount of research focuses on automatically annotating semantic concepts in sports videos, and providing a spellbinding way to browse videos. In this chapter, we briefly introduce related work of video analysis for different kinds of sports, and propose a generic framework for sports video annotation. We explicitly elaborate the state of the art techniques for sports videos analysis. Visual and audio information are utilized to extract mid-level features, and different models for semantic annotation are expounded with practical examples. We also expand on applications of sports video analysis from the viewpoints of the audience, professional athletes, and advertisers.

Original languageEnglish
Title of host publicationMultimedia Analysis, Processing and Communications
EditorsWeisi Lin, Dacheng Tao, Janusz Kacprzyk, Zhu Li, Ebroul Izquierdo, Haohong Wang
Pages413-441
Number of pages29
DOIs
Publication statusPublished - 2011 May 9

Publication series

NameStudies in Computational Intelligence
Volume346
ISSN (Print)1860-949X

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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