Hosik Sohn
Wesley De Neve
ABSTRACT
Present-day video surveillance systems are often required not to intrude upon the privacy of the general public. In this paper, we discuss a privacy-protected video surveillance system that makes use of the JPEG XR standard. This standard offers a low-complexity solution for the scalable coding of high-resolution images. To address privacy concerns, face regions are detected and subsequently scrambled in the transform domain, taking into account the spatial and quality scalability features of JPEG XR. A number of experiments were conducted in order to investigate the efficiency of our video surveillance system, considering bit stream overhead and security aspects.
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Index Terms
- Region-of-interest scrambling for scalable surveillance video using JPEG XR
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