DocumentCode :
2863871
Title :
A Rule-Based Sports Video Event Detection Method
Author :
Li, Wei ; Chen, Shengjian ; Wang, Haibo
Author_Institution :
Dept. of Comput. Sci., North China Electr. Power Univ., Beijing, China
fYear :
2009
fDate :
11-13 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Video event detection is an important research topic in semantic video content analysis and it aims to locate the position where events are happening. A rulebased sports video analysis method is proposed in this paper. It combines structural analysis and semantic tagging to generate the video events positions. Experiments based on real-world sports video verify the effectiveness of the proposed method.
Keywords :
object detection; video signal processing; rule-based sports video event detection method; semantic tagging; semantic video content analysis; structural analysis; Bayesian methods; Computer science; Decision trees; Event detection; Feature extraction; Gunshot detection systems; Hidden Markov models; Motion detection; Streaming media; Tagging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
Type :
conf
DOI :
10.1109/CISE.2009.5366226
Filename :
5366226
Link To Document :
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