The Abstraction Retrieval System of Cultural Videos using Scene Change Detection 


Vol. 12,  No. 7, pp. 761-766, Dec.  2005
10.3745/KIPSTB.2005.12.7.761


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  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.

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[IEEE Style]

O. H. Kang, J. H. Lee, Y. W. Rhee, "The Abstraction Retrieval System of Cultural Videos using Scene Change Detection," The KIPS Transactions:PartB , vol. 12, no. 7, pp. 761-766, 2005. DOI: 10.3745/KIPSTB.2005.12.7.761.

[ACM Style]

Oh Hyung Kang, Ji Hyun Lee, and Yang Won Rhee. 2005. The Abstraction Retrieval System of Cultural Videos using Scene Change Detection. The KIPS Transactions:PartB , 12, 7, (2005), 761-766. DOI: 10.3745/KIPSTB.2005.12.7.761.

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