Paper
5 January 2017 Review of passive-blind detection in digital video forgery based on sensing and imaging techniques
Junjie Tao, Lili Jia, Ying You
Author Affiliations +
Proceedings Volume 10244, International Conference on Optoelectronics and Microelectronics Technology and Application; 102441C (2017) https://doi.org/10.1117/12.2267503
Event: International Conference on Optoelectronics and Microelectronics Technology and Application, 2016, Shanghai, China
Abstract
Advances in digital video compression and IP communication technologies raised new issues and challenges concerning the integrity and authenticity of surveillance videos. It is so important that the system should ensure that once recorded, the video cannot be altered; ensuring the audit trail is intact for evidential purposes. This paper gives an overview of passive techniques of Digital Video Forensics which are based on intrinsic fingerprints inherent in digital surveillance videos. In this paper, we performed a thorough research of literatures relevant to video manipulation detection methods which accomplish blind authentications without referring to any auxiliary information. We presents review of various existing methods in literature, and much more work is needed to be done in this field of video forensics based on video data analysis and observation of the surveillance systems.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Junjie Tao, Lili Jia, and Ying You "Review of passive-blind detection in digital video forgery based on sensing and imaging techniques", Proc. SPIE 10244, International Conference on Optoelectronics and Microelectronics Technology and Application, 102441C (5 January 2017); https://doi.org/10.1117/12.2267503
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Video surveillance

Video

Forensic science

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