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 language | English |
|---|---|
| Title of host publication | Multimedia Analysis, Processing and Communications |
| Editors | Weisi Lin, Dacheng Tao, Janusz Kacprzyk, Zhu Li, Ebroul Izquierdo, Haohong Wang |
| Pages | 413-441 |
| Number of pages | 29 |
| DOIs | |
| Publication status | Published - 2011 May 9 |
Publication series
| Name | Studies in Computational Intelligence |
|---|---|
| Volume | 346 |
| ISSN (Print) | 1860-949X |
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All Science Journal Classification (ASJC) codes
- Artificial Intelligence
Cite this
}
A comprehensive study of sports video analysis. / Tien, Ming Chun; Wu, Ja Ling; Chu, Wei Ta.
Multimedia Analysis, Processing and Communications. ed. / Weisi Lin; Dacheng Tao; Janusz Kacprzyk; Zhu Li; Ebroul Izquierdo; Haohong Wang. 2011. p. 413-441 (Studies in Computational Intelligence; Vol. 346).Research output: Chapter in Book/Report/Conference proceeding › Chapter
TY - CHAP
T1 - A comprehensive study of sports video analysis
AU - Tien, Ming Chun
AU - Wu, Ja Ling
AU - Chu, Wei Ta
PY - 2011/5/9
Y1 - 2011/5/9
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79955581986&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79955581986&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-19551-8_15
DO - 10.1007/978-3-642-19551-8_15
M3 - Chapter
AN - SCOPUS:79955581986
SN - 9783642195501
T3 - Studies in Computational Intelligence
SP - 413
EP - 441
BT - Multimedia Analysis, Processing and Communications
A2 - Lin, Weisi
A2 - Tao, Dacheng
A2 - Kacprzyk, Janusz
A2 - Li, Zhu
A2 - Izquierdo, Ebroul
A2 - Wang, Haohong
ER -