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Hashing을 이용한 불법 복제 콘텐츠 검출을 위한 내용 기반 영상 검색

Content-based Video Retrieval for Illegal Copying Contents Detection using Hashing

  • Son, Heusu (Dept. of Computer Science, SangMyung University) ;
  • Byun, Sung-Woo (Dept. of Computer Science, SangMyung University) ;
  • Lee, Soek-Pil (Dept. of Electronic Engineering, SangMyung University)
  • 투고 : 2018.07.20
  • 심사 : 2018.08.31
  • 발행 : 2018.10.01

초록

As the usage of the Internet grows and digital media become more diversified, it has become much easier for digital contents to be distributed and shared. This makes easier to access the desired digital contents. On the other hand, there is an increasing need to protect the copyright of digital works. There are some prevalent ways to protect ownership, but they accompany several disadvantages. Among those ways, watermarking methods have the advantage of ensuring invisibility, but they also have a disadvantage that they are vulnerable to external attacks such as a noise and signal processing. In this paper, we propose the detecting method of illegal contents that is robust against external attacks to protect digital works. We extract HSV and LBP features from images and use Euclidian-based hashing techniques to shorten the searching time on high-dimensional and near-duplicate videos. According to the results, the proposed method showed higher detection rates than that of the Watermarking techniques in terms of the images with fabrications or deformations.

키워드

참고문헌

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