Preserving Privacy by De-Identifying Face Images
IEEE Transactions on Knowledge and Data Engineering
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
Privacy Protected Surveillance Using Secure Visual Object Coding
IEEE Transactions on Circuits and Systems for Video Technology
Scrambling for Privacy Protection in Video Surveillance Systems
IEEE Transactions on Circuits and Systems for Video Technology
Privacy-preserving watch list screening in video surveillance system
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Contribution of non-scrambled chroma information in privacy-protected face images to privacy leakage
IWDW'11 Proceedings of the 10th international conference on Digital-Forensics and Watermarking
Threat-based evaluation for context-aware multimedia surveillance system
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
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Thanks to high-speed internet access and feature-rich mobile devices, the demand for ubiquitous and secure surveillance systems has increased. In this paper, we propose a privacy-protected video surveillance system that makes use of Scalable Video Coding (SVC). SVC can be used to fulfill the requirement of omnipresence. Further, to address privacy concerns, we detect face regions and subsequently scramble these regions-of-interest (ROIs) in the compressed domain. To demonstrate the feasibility of the proposed video surveillance system, simulation results are provided. The results show that our system is able to provide a good level of security, while offering access to surveillance video content in heterogeneous usage environments.