Automatic Indexing for the Content-based Retrieval of News Video


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 5, No. 5, pp. 1130-1139, May. 1998
10.3745/KIPSTE.1998.5.5.1130,   PDF Download:

Abstract

This paper presents an integrated solution for the content-based news video indexing and the retrieval. Currently, it is impossible to automatically index a general video, but we can index a specific structural video such as news videos. Our proposed model extracts automatically the key frames by using the structured knowledge of news and consists of the news item segmentation, caption recognition and search browser modules. We present above three modules in the following: the news event segmentation module recognizes an anchor-person shot based on face recognition, and then its news event are divided by the anchor-person's frame information. The caption recognition module detects the caption-frames with the caption characteristics, extracts their character region by the using split-merge method, and then recognizes characters with OCR software. Finally, the search browser module could make a various of searching mechanism possible.


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Cite this article
[IEEE Style]
Y. M. Sup, C. O. Bae, Y. C. Jung, "Automatic Indexing for the Content-based Retrieval of News Video," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 5, no. 5, pp. 1130-1139, 1998. DOI: 10.3745/KIPSTE.1998.5.5.1130.

[ACM Style]
Yang Myung Sup, Chang Ok Bae, and Yoo Cheol Jung. 1998. Automatic Indexing for the Content-based Retrieval of News Video. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 5, 5, (1998), 1130-1139. DOI: 10.3745/KIPSTE.1998.5.5.1130.