Building a post-compression region-of-interest encryption framework for existing video surveillance systems: Challenges, obstacles and practical concerns

We propose an encryption framework design and implementation which add region-of-interest encryption functionality to existing video surveillance systems with minimal integration and deployment effort. Apart from region-of-interest detection, all operations take place at bit-stream level and require no re-compression whatsoever. This allows for very fast encryption and decryption speed at negligible space overhead. Furthermore, we provide both objective and subjective security evaluations of our proposed encryption framework. Furthermore, we address design- and implementation-related challenges and practical concerns. These include modularity, parallelization and, most notably, the performance of state-of-the-art face detectors. We find that their performance, despite their frequent use in surveillance systems, is not insufficient for practical purposes, both in terms of speed and detection accuracy. © 2015, Springer-Verlag Berlin Heidelberg.