region-of-interest scrambling for scalable surveillance video using jpeg xr
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.
scrambling jpeg xr video surveillance image coding