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Soccer Highlight Detection using Two-Dependence Bayesian Network

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5 Author(s)
Jianguo Li ; Intel China Res. Center, Beijing ; Tao Wang ; Wei Hu ; Mingliang Sun
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Soccer highlight detection is an active research topic in recent years. One of the difficult problems is how to effectively fuse multi-modality cues, i.e. audio, visual and textual information, to improve the detection performance. This paper proposes a novel two-dependence Bayesian network (2d-BN) based fusion approach to soccer highlight detection. 2d-BN is a particular Bayesian network which assumes that each variable depends on two other variables at most. Through this assumption, 2d-BN can not only characterize the relationships among features but also be trained efficiently. Extensive experiments demonstrate the effectiveness of the proposed method

Published in:

Multimedia and Expo, 2006 IEEE International Conference on

Date of Conference:

9-12 July 2006