Josephine, Veena D (2015) Analysis of Subband - Adaptive Scrambling in JPEG XR- To protect privacy in video surveillance systems. In: International conference on Recent Innovations in Engineering and Technology, 06/12/2015, Chennai.

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Abstract

The ubiquity of surveillance cameras linked with the power to automatically analyze video has driven societal fears about the loss of privacy. Responding to these concerns, researchers have started to look for ways that technology can be used to protect privacy. A privacy-protected video surveillance system that makes use of JPEG extended range (JPEG XR). JPEG XR offers a low-complexity solution for the scalable coding of high-resolution images. To address privacy concerns, face regions are detected and scrambled in the transform domain, taking into account the quality and spatial scalability features of JPEG XR. Experiments were conducted to investigate the performance of our surveillance system, considering visual distortion, bit stream overhead, and security aspects. Our results demonstrate that subband-adaptive scrambling is able to conceal privacy-sensitive face regions with a feasible level of protection. In addition, our results show that subband-adaptive scrambling of face regions outperforms subband-adaptive scrambling of frames in terms of coding efficiency, except when low video bit rates are in use

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