Cut Detection Algorithm Using the Charcteristics Of Wavelet Coefficients in Each Subband 


Vol. 29,  No. 10, pp. 1414-1424, Oct.  2004


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  Abstract

In this paper, an algorithm using wavelet transform for detecting a cut that is a radical scene transition point, and fade and dissolve that are gradual scene transition points is proposed The conventional methods using wavelet transform for this purpose 18 using features in both spatial and frequency domain But in the proposed algorithm, the color space of an input image is converted to YUV and then luminance component Y is transformed 10 frequency domain using 2-level lifting Then, the histogram of only low frequency subband that may contain some spatial domain features is compared with the previous one. Edges obtained from other higher bands can be divided into global. semi-global and local regions and the histogram of each edge region is compared. The experimental results show the performance improvement of about 17% 10 recall and 18% 10 precision and also show a good performance in fade and dissolve detection.

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  Cite this article

[IEEE Style]

Y. Moon, J. Noh, J. Yoo, "Cut Detection Algorithm Using the Charcteristics Of Wavelet Coefficients in Each Subband," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 10, pp. 1414-1424, 2004. DOI: .

[ACM Style]

Young-ho Moon, Jung-jin Noh, and Ji-sang Yoo. 2004. Cut Detection Algorithm Using the Charcteristics Of Wavelet Coefficients in Each Subband. The Journal of Korean Institute of Communications and Information Sciences, 29, 10, (2004), 1414-1424. DOI: .

[KICS Style]

Young-ho Moon, Jung-jin Noh, Ji-sang Yoo, "Cut Detection Algorithm Using the Charcteristics Of Wavelet Coefficients in Each Subband," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 10, pp. 1414-1424, 10. 2004.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880