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2006
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Soccer Highlight Detection using Two-Dependence Bayesian Network

11 years 11 months ago
Soccer Highlight Detection using Two-Dependence Bayesian Network
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 (2dBN) based fusion approach to soccer highlight detection. 2dBN 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.
Jianguo Li, Tao Wang, Wei Hu, Mingliang Sun, Yimin
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICMCS
Authors Jianguo Li, Tao Wang, Wei Hu, Mingliang Sun, Yimin Zhang
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