J4 ›› 2011, Vol. 33 ›› Issue (6): 63-66.doi: 10.3969/j.issn.1007130X.2011.
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LIU Lingxia1,NIU Honghui1,CUI Zhoujuan2
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Abstract:
To help users navigate the libraries of video, algorithms that automatically index video based on the content are needed. In this paper, we present a DCT based approach to detect texts and captions from the videos. The use of these features is in a flexible manner thus can be adapted to different applications. Language independence is an important advantage of the proposed method. Experiments are conducted on a large volume of real video shots. Solutions are proposed for each of these problems and compared with the existing work found in the literature.
Key words: video;text recognition;detection;DCT;structural analysis
LIU Lingxia1,NIU Honghui1,CUI Zhoujuan2. A Novel DCTBased Video Text Detection Algorithm[J]. J4, 2011, 33(6): 63-66.
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URL: http://joces.nudt.edu.cn/EN/10.3969/j.issn.1007130X.2011.
http://joces.nudt.edu.cn/EN/Y2011/V33/I6/63