Dynamic privacy assessment in a smart house environment using multimodal sensing
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Privacy-Preserving Face Recognition
PETS '09 Proceedings of the 9th International Symposium on Privacy Enhancing Technologies
Applications of trusted computing in pervasive smart camera networks
WESS '09 Proceedings of the 4th Workshop on Embedded Systems Security
Recoverable privacy protection for video content distribution
EURASIP Journal on Information Security - Special issue on enhancing privacy protection in multimedia systems
Towards secure and privacy sensitive surveillance
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
A systematic approach towards user-centric privacy and security for smart camera networks
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Privacy preserving video surveillance using pedestrian tracking mechanism
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence
Video data hiding for managing privacy information in surveillance systems
EURASIP Journal on Information Security - Special issue on enhancing privacy protection in multimedia systems
Securing embedded smart cameras with trusted computing
EURASIP Journal on Wireless Communications and Networking - Special issue on security and resilience for smart devices and applications
CS-DRM: a cloud-based SIM DRM scheme for mobile internet
EURASIP Journal on Wireless Communications and Networking - Special issue on security and resilience for smart devices and applications
Security in real time multimedia data based on generalized keys
ACAI '11 Proceedings of the International Conference on Advances in Computing and Artificial Intelligence
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In this paper, we address the problem of scrambling regions of interest in a video sequence for the purpose of preserving privacy in video surveillance. We propose an efficient solution based on transform-domain scrambling. More specifically, the sign of selected transform coefficients is pseudo-randomly flipped during encoding. We address more specifically the two cases of MPEG-4 and Motion JPEG 2000. Simulation results show that the technique can be successfully applied to conceal information in regions of interest in the scene while providing with a good level of security. Furthermore, the scrambling is flexible and allows adjusting the amount of distortion introduced. Finally, this is achieved with a small impact on coding performance and negligible computational complexity increase.