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