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

서포트 벡터 머신을 이용한 자연 연상 통계 기반 저작물 식별 알고리즘

  • 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)
  • Received : 2016.12.29
  • Accepted : 2017.04.26
  • Published : 2017.05.31


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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