Semantic Analysis and Video Event Mining in Sports Video

Video understanding is a gigantic potential for effective access the video content through content management system. Related technologies for to analysis and make event mining in video content processing issues are become more and more important. In this paper, we developed a shot ontology description based for the basketball video. Shot ontology is inferred by shot manipulations those included: shot detection, shot type classification, score board detection and motion statistics .This video content management system provided event feature manipulations at multiple levels: signal, structural, or semantic in order to meet user preferences while striking the overall utility of the video. The experiment results showed that our proposed methodologies could correctly detect interested events, long shots, and close-up shots and also achieved the purpose of video indexing and weaving for what user preferences.