Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/42170
Title: A mid-level representation framework for semantic sports video analysis
Authors: Duan, L.-Y.
Xu, M.
Chua, T.-S. 
Tian, Q.
Xu, C.-S.
Keywords: Events
Mid-level representation
Semantics
Sports video
Issue Date: 2003
Source: Duan, L.-Y.,Xu, M.,Chua, T.-S.,Tian, Q.,Xu, C.-S. (2003). A mid-level representation framework for semantic sports video analysis. Proceedings of the ACM International Multimedia Conference and Exhibition : 33-44. ScholarBank@NUS Repository.
Abstract: Sports video has been widely studied due to its tremendous commercial potentials. Despite encouraging results from various specific sports games, it is almost impossible to extend a system for a new sports game because they usually employ different sets of low-level features appropriate for the specific games and closely coupled with the use of game specific rules to detect events or highlights. There is a lack of internal representation and structure to be generic and applicable for many different sports. In this paper, we present a generic mid-level representation framework for semantic sports video analysis. The mid-level representation layer is introduced between the low-level audio-visual processing and high-level semantic analysis. It allows us to separate sports specific knowledge and rules from the low-level and mid-level feature extraction. This makes sports video analysis more efficient, effective, and less ad-hoc for various types of sports. To achieve robustness of the low-level feature analysis, a non-parametric clustering, mean shift procedure, has been successfully applied to both color and motion analysis. The proposed framework has been tested for five field-ball type sports covering duration of about 8 hours. Experiments have shown its robust performance in semantic analysis and event detection. We believe that the proposed mid-level representation framework can be used for event detection, highlight extraction, summarization and personalization of many types of sports video.
Source Title: Proceedings of the ACM International Multimedia Conference and Exhibition
URI: http://scholarbank.nus.edu.sg/handle/10635/42170
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