A Natural Scene Statistics Based Publication Classification Algorithm Using Support Vector Machine 


Vol. 42,  No. 5, pp. 959-966, May  2017


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  Abstract

Currently, the market of digital contents such as e-books, cartoons and webtoons is growing up, but the copyrights infringement are serious issue due to their distribution through illegal ways. However, the technologies for copyright protection are not developed enough. Therefore, in this paper, we propose the NSS-based publication classification method for copyright protection. Using histogram calculated by NSS, we propose classification method for digital contents using SVM. The proposed algorithm will be useful for copyright protection because it lets us distinguish illegal distributed digital contents more easily.

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  Cite this article

[IEEE Style]

H. Song, D. Kim, S. Lee, "A Natural Scene Statistics Based Publication Classification Algorithm Using Support Vector Machine," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 5, pp. 959-966, 2017. DOI: .

[ACM Style]

Hyewon Song, Doyoung Kim, and Sanghoon Lee. 2017. A Natural Scene Statistics Based Publication Classification Algorithm Using Support Vector Machine. The Journal of Korean Institute of Communications and Information Sciences, 42, 5, (2017), 959-966. DOI: .

[KICS Style]

Hyewon Song, Doyoung Kim, Sanghoon Lee, "A Natural Scene Statistics Based Publication Classification Algorithm Using Support Vector Machine," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 5, pp. 959-966, 5. 2017.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880