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http://dx.doi.org/10.3745/KIPSTB.2005.12B.7.761

The Abstraction Retrieval System of Cultural Videos using Scene Change Detection  

Kang Oh-Hyung (군산대학교 정보전산원)
Lee Ji-Hyun (군산대학교 컴퓨터정보과학과)
Rhee Yang-Won (군산대학교 컴퓨터정보과학과)
Publication Information
The KIPS Transactions:PartB / v.12B, no.7, 2005 , pp. 761-766 More about this Journal
Abstract
This paper proposes a video model for the implementation of the cultural video database system. We have utilized an efficient scene change detection method that segments cultural video into semantic units for efficient indexing and retrieval of video. Since video has a large volume and needs to be played for a longer time, it implies difficulty of viewing the entire video. To solve this Problem. the cultural video abstraction was made to save the time and widen the choices of video the video abstract is the summarization of scenes, which includes important events produced by setting up the abstraction rule.
Keywords
Scene Change Detection; Similarity Measures; Abstraction; Cultural Videos; Clustering;
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