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Video Data Modeling for Supporting Structural and Semantic Retrieval  

복경수 (충북대학교 정보통신공학과)
유재수 (충북대학교 전기전자컴퓨터공학부)
조기형 (충북대학교 전기전자컴퓨터공학부)
Abstract
In this paper, we propose a video retrieval system to search logical structure and semantic contents of video data efficiently. The proposed system employs a layered modelling method that orBanifes video data in raw data layer, content layer and key frame layer. The layered modelling of the proposed system represents logical structures and semantic contents of video data in content layer. Also, the proposed system supports various types of searches such as text search, visual feature based similarity search, spatio-temporal relationship based similarity search and semantic contents search.
Keywords
Video Modeling; Structural Retrieval; Semantic Retrieval;
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Times Cited By KSCI : 4  (Citation Analysis)
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