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