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Description of Online and Offline Metadata Extraction out of Sports Videos

Main information
We focus on online and offline metadata extraction and annotation out of sports videos. The main benefit of our method is immediate and automatic extraction and annotation of metadata by giving semantics to combinations of heterogeneous low-level visual features. It brings new opportunities for efficient utilisation of sports video in improved ways, and is easily customized to address the characteristics. Firstly, semantic scene classification is described, including key-frames extraction, similarities determination between shots, and rule based estimation of scene boundaries. Secondly, fuzzy logic based categorizing is presented, including paradigm, Fuzzy membership function, and fuzzy feature generation and similarity measure. Thirdly, automatic sports video annotation is proposed, including robust dominant colour region detection, combined motion feature analysis. This work has been evaluated in the TRECVID 2007 competition. 
No referenced Knowhow defined
WP5: Detection, Extraction and Annotation of Knowledge. 
School of Informatics University of Bradford  Ying Weng 
2007-11-27 20:21  Request for more detail


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For educational purposes only - if public document.  For educational purposes only - if public document. 


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Copyright School of Informatics, University of Bradford.  Patent Protection not sought. 
Licensing Protection not sought.  Utility Model Protection not sought. 
 
 
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d5_3-description_of_onlineofflinemetadata.pdf
 
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