A Multimedia Database System using Method of Automatic Annotation Update and Multi-Partition Color Histogram 


Vol. 11,  No. 6, pp. 701-708, Oct.  2004
10.3745/KIPSTB.2004.11.6.701


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  Abstract

Existing contents-based video retrieval systems search by using a single method such as annotation-based or feature-based retrieval. Hence, it not only shows low search efficiency, but also requires many efforts to provide system administrator or annotator with a perfect automatic processing. In this paper, we propose an agent-based, and automatic and unified semantics-based video retrieval system, which support various semantics-retrieval of the massive video data by integrating the feature-based retrieval and the annotation-based retrieval. The indexing agent embodies the semantics about annotation of extracted key frames by analyzing a fundamental query of a user and by selecting a key-frame image that is abstracted by a query. Also, a key frame selected by user takes a query image of the feature-based retrieval and the indexing agent searches and displays the most similar key-frame images after comparing query images with key frames in the database by using the color-multiple-partition histogram techniques. Furthermore, it is shown that the performance of the proposed system can be significantly improved.

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[IEEE Style]

J. M. Ahn and H. S. Oh, "A Multimedia Database System using Method of Automatic Annotation Update and Multi-Partition Color Histogram," The KIPS Transactions:PartB , vol. 11, no. 6, pp. 701-708, 2004. DOI: 10.3745/KIPSTB.2004.11.6.701.

[ACM Style]

Jae Myung Ahn and Hae Seok Oh. 2004. A Multimedia Database System using Method of Automatic Annotation Update and Multi-Partition Color Histogram. The KIPS Transactions:PartB , 11, 6, (2004), 701-708. DOI: 10.3745/KIPSTB.2004.11.6.701.

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