DocumentCode :
436550
Title :
Shot classification in sports video
Author :
Tong, Xiao-Feng ; Liu, Qing-Shan ; Lu, Han-Qing ; Jin, Hong-Liang
Author_Institution :
Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China
Volume :
2
fYear :
2004
fDate :
31 Aug.-4 Sept. 2004
Firstpage :
1364
Abstract :
Shot classification and transition context analysis are fundamental work for video structure and content analysis. In this paper, we present an effective hierarchical shot classification scheme based on replay and nonreplay as viewed from video editing and semantics in sports video. The scheme facilitates video semantics analysis with giving prominence to replay. Firstly, a shot is categorized into replay or nonreplay class by replay-logo pairing. The replay-logo can be automatically extracted from the sports video in advance. Then, nonreplay shots are further classified into long, medium, close-up or out-field type, each one of which indicates certain semantics respectively. Every type of shot is intrinsically characterized by effective features. Extensive experiments have demonstrated the method´s validity and effectiveness.
Keywords :
feature extraction; image classification; image segmentation; sport; video signal processing; feature extraction; replay-logo pair; shot classification; sports video editing; transition context analysis; video semantics analysis; Area measurement; Automation; Event detection; Games; Gunshot detection systems; Laboratories; Pattern analysis; Pattern recognition; Production; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
Type :
conf
DOI :
10.1109/ICOSP.2004.1441579
Filename :
1441579
Link To Document :
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