Automatic Superimposed Text Localization from Video Using Temporal Information 


Vol. 32,  No. 9, pp. 834-839, Sep.  2007


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  Abstract

The superimposed text in video brings important semantic clues into content analysis. In this paper, we present the new and fast superimposed text localization method in video segments. We detect the superimposed text by using temporal information contained in the video. To detect the superimposed text fast, we have minimized the candidate region of localizing superimposed texts by using the difference between consecutive frames. Experimental results are presented to demonstrate the good performance of the new superimposed text localization algorithm.

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  Cite this article

[IEEE Style]

C. Jung and J. Kim, "Automatic Superimposed Text Localization from Video Using Temporal Information," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 9, pp. 834-839, 2007. DOI: .

[ACM Style]

Cheolkon Jung and Joongkyu Kim. 2007. Automatic Superimposed Text Localization from Video Using Temporal Information. The Journal of Korean Institute of Communications and Information Sciences, 32, 9, (2007), 834-839. DOI: .

[KICS Style]

Cheolkon Jung and Joongkyu Kim, "Automatic Superimposed Text Localization from Video Using Temporal Information," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 9, pp. 834-839, 9. 2007.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880