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Issue No. 03 - July-Sept. (2017 vol. 5)
ISSN: 2168-7161
pp: 510-522
Xiaojing Ma , School of Computer Science and Technology, Key Laboratory of Services Computing Technology and System, Ministry of Education, Huazhong University of Science and Technology, Wuhan, China
Laurence T. Yang , School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
Yang Xiang , School of Information Technology, Deakin University, Melbourne, Vic., Australia
Wenjun Kevin Zeng , Microsoft Research Asia and Mobile Networking and Multimedia Communications Lab, University of Missouri, Columbia, MO
Deqing Zou , School of Computer Science and Technology, Key Laboratory of Services Computing Technology and System, Ministry of Education, Huazhong University of Science and Technology, Wuhan, China
Hai Jin , School of Computer Science and Technology, Key Laboratory of Services Computing Technology and System, Ministry of Education, Huazhong University of Science and Technology, Wuhan, China
ABSTRACT
Privacy becomes one of the major concerns of cloud-based multimedia applications such as cloud video surveillance. Privacy protection of surveillance videos aims to protect privacy information without hampering normal processing tasks of the cloud. Privacy Region Protection only protects the privacy region while keeping the non-privacy region visually intact to facilitate processing in the cloud. However, full reversibility, i.e. the complete recovery of the original video which is critical to digital investigation and law enforcement has not been properly addressed in privacy region protection. In this paper, we introduce fully reversible privacy region protection into cloud video surveillance and propose a novel fully reversible privacy protection method for H.264/AVC compressed video. All the operations are performed in the compressed domain and avoid lossy re-encoding, so the original H.264/AVC compressed video can be fully recovered. To our best knowledge, the proposed scheme is the first fully reversible one for privacy region protection. Experimental results and performance comparison demonstrate the effectiveness and efficiency of the proposed approach.
INDEX TERMS
Privacy, Discrete cosine transforms, Video surveillance, Cameras, Video coding, Cloud computing, Entropy
CITATION

X. Ma, L. T. Yang, Y. Xiang, W. K. Zeng, D. Zou and H. Jin, "Fully Reversible Privacy Region Protection for Cloud Video Surveillance," in IEEE Transactions on Cloud Computing, vol. 5, no. 3, pp. 510-522, 2017.
doi:10.1109/TCC.2015.2469651
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