Active and passive forensic methods for next-generation video content protection차세대 비디오 콘텐츠 보호를 위한 능동형 및 수동형 포렌식 기법

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Due to remarkable advances in network and display technologies, traditional digital multimedia content that was confined to audio, two-dimensional (2D) images and videos has evolved in various ways. Traditional one-directional content is changed to bi-directional content which encourages the participation of viewers because of the development of smart television and interactive content. Also, one-source, multi-use (OSMU) content, which can be adapted in various platforms and resolutions without any post-processing, comes into the spotlight due to the expansion of cloud computing and N-screen environments. Further, Stereoscopic content or three-dimensional (3D) content has been around since the 1950s, but the market rapidly increased and content poured out at a tremendous rate after the hugely successful movie “Avatar” in the second half of 2009. The evolution of multimedia content is rapidly progressing to the next-generation, as mentioned above. However, the copyright protection techniques for next-generation content are not yet adequate. There is no reported copyright infringement case of next-generation content yet. However, the amount of damage is increased exponentially like the “broken window” effect if the copyright infringement of these next-generation contents occurs. This thesis introduces the active and passive forensic methods to protect the next-generation content. The proposed active forensic method is a stereoscopic video watermarking scheme for protection of DIBR (depth-image-based rendering)-formatted content. The proposed passive forensic method is a screenshot identification scheme due to almost all OSMU content or stereoscopic content is illegally leaked through Internet with their screenshots. The proposed stereoscopic video watermarking scheme suitable for DIBR-formatted content is the technique that the inserted copyright information can be detectable after 2D-3D conversion by exploiting the trait of DIBR. DIBR system renders left and ri...
Advisors
Lee, Heung-Kyuresearcher이흥규
Description
한국과학기술원 : 전산학과,
Publisher
한국과학기술원
Issue Date
2013
Identifier
513968/325007  / 020107081
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 전산학과, 2013.2, [ vi, 77 p. ]

Keywords

Active forensics; Passive forensics; 능동형 포렌식; 수동형 포렌식; 차세대 콘텐츠; Next-generation content

URI
http://hdl.handle.net/10203/180356
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=513968&flag=dissertation
Appears in Collection
CS-Theses_Ph.D.(박사논문)
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