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