Extraction and Recognition of Character from MPEG-2 News Video Images


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 6, No. 5, pp. 1410-1418, May. 1999
10.3745/KIPSTE.1999.6.5.1410,   PDF Download:

Abstract

In this paper, we propose the method of extracting the caption regions from news video and the method of recognizing the captions that can be used mainly for content-based indexing and retrieving the MPEG-2 compressed news for NOD(News On Demand). The proposed method can reduce the searching time on detecting caption frames with minimum MPEG-2 decoding, and effectively eliminate the noise in caption regions by deliberately devised preprocessing. Because the king of fonts that are used for captions is not various in the news video, an enhanced template matching method is used for recognizing characters. We could obtain good recognition result in the experiment of sports news video by the proposed methods.


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Cite this article
[IEEE Style]
P. Y. Kyu, K. S. Guk, Y. W. Young, K. J. Cheol, L. J. Whoan, "Extraction and Recognition of Character from MPEG-2 News Video Images," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 5, pp. 1410-1418, 1999. DOI: 10.3745/KIPSTE.1999.6.5.1410.

[ACM Style]
Park Young Kyu, Kim Sung Guk, Yoo Won Young, Kim Joon Cheol, and Lee Joon Whoan. 1999. Extraction and Recognition of Character from MPEG-2 News Video Images. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 5, (1999), 1410-1418. DOI: 10.3745/KIPSTE.1999.6.5.1410.