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Proceedings Paper

Review of passive-blind detection in digital video forgery based on sensing and imaging techniques
Author(s): Junjie Tao; Lili Jia; Ying You
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Paper 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.

Paper Details

Date Published: 5 January 2017
PDF: 6 pages
Proc. SPIE 10244, International Conference on Optoelectronics and Microelectronics Technology and Application, 102441C (5 January 2017); doi: 10.1117/12.2267503
Show Author Affiliations
Junjie Tao, 3rd Research Institute of Ministry of Public Security (China)
Lili Jia, 3rd Research Institute of Ministry of Public Security (China)
Ying You, 3rd Research Institute of Ministry of Public Security (China)


Published in SPIE Proceedings Vol. 10244:
International Conference on Optoelectronics and Microelectronics Technology and Application
Shaohua Yu; Jose Capmany; Yi Luo; Yikai Su; Songlin Zhuang; Yue Hao; Akihiko Yoshikawa; Chongjin Xie; Yoshiaki Nakano, Editor(s)

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