Integrating Multiple Feature Fusion for Semantic Event Detection in Soccer Video

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...

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Bibliographic Details
Main Authors: Liu, Hua-Yong, He, Tingting
Format: Conference Proceeding
Language:English
Subjects:
Artificial intelligence
Data mining
Event detection
Feature extraction
Games
Indexing
Speech recognition
Streaming media
Support vector machines
Videoconference
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Summary: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.
DOI:10.1109/JCAI.2009.22