DocumentCode :
2759477
Title :
Semantic Event Mining in Soccer Video Based on Multiple Feature Fusion
Author :
Hua-Yong, Liu ; Tingting, He
Author_Institution :
Dept. of Comput. Sci., Central China Normal Univ., Wuhan, China
Volume :
2
fYear :
2009
fDate :
25-26 July 2009
Firstpage :
297
Lastpage :
300
Abstract :
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 :
data mining; feature extraction; image fusion; object detection; video signal processing; football event detection method; low-level features; multiple feature extraction; multiple feature fusion; semantic event mining; soccer video; Computer science; Event detection; Feature extraction; Games; Indexing; Information technology; Speech recognition; Streaming media; Support vector machines; Videoconference; Multiple Feature Fusion; Semantic Event Mining; Soccer Video;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
Conference_Location :
Kiev
Print_ISBN :
978-0-7695-3688-0
Type :
conf
DOI :
10.1109/ITCS.2009.280
Filename :
5190238
Link To Document :
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