In this paper, we propose a novel approach to event detection in soccer videos using dynamic Bayesian networks (DBNs). Based on such high level semantics, ...
ABSTRACT. In this paper, we propose a novel approach to cvcnt detection in soccer videos using Dynamic Bayesian. Networks (DBNs).
Bayesian-network-based soccer video event detection and retrieval ...
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2005. This paper proposes a novel semantics-based content analysis system for reliable media highlight extraction using dynamic Bayesian network (DBN). It ...
... Bayesian Network (BN) based strategy automatic event recognition and summarization in Soccer videos. This system incorporates proficient shot view ...
ABSTRACT. Soccer highlight detection is an active research topic in re- cent years. One of the difficult problems is how to effectively.
This paper proposes a novel semantics-based content analysis system for reliable media highlight extraction using dynamic Bayesian network (DBN).
A semantic analysis system based on Bayesian network (BN) and dynamic Bayesiannetwork (DBN) that can identify the special events in soccer games such as ...
A probabilistic Bayesian belief network (BBN) based framework is proposed for semantic analysis and summa- rization of video using event detection.
ABSTRACT. This paper proposes a novel semantics-based content analysis system for reliable media highlight extraction using Dynamic. Bayesian Network (DBN).
In this paper, we present the system for automatically generating the highlights from sports TV broadcasts. The proposed system detects exciting clips based on ...