DocumentCode :
2448374
Title :
Integrating Multiple Feature Fusion for Semantic Event Detection in Soccer Video
Author :
Liu Hua-Yong ; He Tingting
Author_Institution :
Dept. of Comput. Sci., Central China Normal Univ., Wuhan, China
fYear :
2009
fDate :
25-26 April 2009
Firstpage :
128
Lastpage :
131
Abstract :
Semantic soccer video analysis has attracted more and more attention recently. In this paper, we present a football event detection method by using multiple feature extraction and fusion. Instead of using low-level features, the proposed method is built upon visual, auditory features, text and audio keywords. Promising event detection results have been achieved. By using the proposed method, we have been able to detect the football events accurately. Experimental results have shown our proposed method is effective for football event detection.
Keywords :
content-based retrieval; edge detection; feature extraction; image fusion; sport; support vector machines; text analysis; video retrieval; video signal processing; SVM; audio keyword; auditory feature; content-based video retrieval; football event detection; multiple feature extraction; multiple feature fusion; semantic event detection; soccer video; text feature; visual feature; Artificial intelligence; Data mining; Event detection; Feature extraction; Games; Indexing; Speech recognition; Streaming media; Support vector machines; Videoconference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3615-6
Type :
conf
DOI :
10.1109/JCAI.2009.22
Filename :
5158956
Link To Document :
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