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PCM
2009
Springer

A Hierarchical Semantics-Matching Approach for Sports Video Annotation

9 years 9 months ago
A Hierarchical Semantics-Matching Approach for Sports Video Annotation
Text facilitated sports video analysis has achieved extensive success in video indexing, retrieval and summarization. A commonly adopted basis in previous work is the separate alignment of timestamps between sports video and game text, which isn’t a robust method for generic cross-media analysis. In this paper, we propose a hierarchical semantics-matching approach to annotate sports video. Our key idea is to link video and text with high-level semantics rather than low-level features and find the optimal video-text alignment based on the integral structure rather than individual conditions. For accurate event location, the whole algorithm is implemented in a hierarchical way to generate both refined and accurate video annotation result. Experiments conducted on both basketball and football matches demonstrate that our proposed approach is effective for text facilitated sports video annotation.
Chao Liang, Yi Zhang, Changsheng Xu, Jinqiao Wang,
Added 27 May 2010
Updated 27 May 2010
Type Conference
Year 2009
Where PCM
Authors Chao Liang, Yi Zhang, Changsheng Xu, Jinqiao Wang, Hanqing Lu
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