Hybrid Video Information System Supporting Content-based Retrieval and Similarity Retrieval


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 6, No. 8, pp. 2031-2041, Aug. 1999
10.3745/KIPSTE.1999.6.8.2031,   PDF Download:

Abstract

In this paper, we present the HVIS(Hybrid Video Information System) which bolsters up meaning retrieval of all the various users by integrating feature-based retrieval and annotation-based retrieval of unformatted formed and massive video data. HVIS divides a set of video into video document, sequence, scene and object to model the metadata and suggests the Two layered Hybrid Object-oriented Metadata Model(THOMM) which is composed of raw-data layer for physical video stream, metadata layer to support annotation-based retrieval, content-based retrieval, and similarity retrieval. Grounded on this model, we present the video query language which make the annotation-based query, content-based query and similar query possible and Video Query Processor to process the query and query processing algorithm. Specially, We present the similarity expression to appear degree of similarity which considers interesting of user. The proposed system is implemented with Visual C , ActiveX and ORACLE.


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Cite this article
[IEEE Style]
Y. M. Hwi, Y. Y. Ik, K. K. Chung, "Hybrid Video Information System Supporting Content-based Retrieval and Similarity Retrieval," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 8, pp. 2031-2041, 1999. DOI: 10.3745/KIPSTE.1999.6.8.2031.

[ACM Style]
Youn Mi Hwi, Yoon Yong Ik, and Kim Kio Chung. 1999. Hybrid Video Information System Supporting Content-based Retrieval and Similarity Retrieval. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 8, (1999), 2031-2041. DOI: 10.3745/KIPSTE.1999.6.8.2031.