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Content Based Video Retrieval by Example Considering Context  

박주현 (서강대학교 컴퓨터학과)
낭종호 (서강대학교 컴퓨터학과)
김경수 (KBS기술연구소)
하명환 (KBS기술연구소)
정병희 (KBS기술연구소)
Publication Information
Journal of KIISE:Computer Systems and Theory / v.30, no.12, 2003 , pp. 756-771 More about this Journal
Abstract
Digital Video Library System which manages a large amount of multimedia information requires efficient and effective retrieval methods. In this paper, we propose and implement a new video search and retrieval algorithm that compares the query video shot with the video shots in the archives in terms of foreground object, background image, audio, and its context. The foreground object is the region of the video image that has been changed in the successive frames of the shot, the background image is the remaining region of the video image, and the context is the relationship between the low-level features of the adjacent shots. Comparing these features is a result of reflecting the process of filming a moving picture, and it helps the user to submit a query focused on the desired features of the target video clips easily by adjusting their weights in the comparing process. Although the proposed search and retrieval algorithm could not totally reflect the high level semantics of the submitted query video, it tries to reflect the users' requirements as much as possible by considering the context of video clips and by adjusting its weight in the comparing process.
Keywords
Content Based Video Retrieval; Query by Example;
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