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http://dx.doi.org/10.7840/kics.2017.42.5.959

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

Song, Hyewon (Yonsei University, Department of Electrical and Electronic Engineering)
Kim, Doyoung (Yonsei University, Department of Electrical and Electronic Engineering)
Lee, Sanghoon (Yonsei University, Department of Electrical and Electronic Engineering)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.42, no.5, 2017 , pp. 959-966 More about this Journal
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.
Keywords
Publication Classification; Natural Scene Statistics; Support Vector Machine; Histogram-based Classification; Machine learning;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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