A new compression technique for surveillance videos: Evaluation using new dataset
Traditional video surveillance takes a huge amount of space storage. Recording everything captured by a surveillance camera consumes the storage devices used by the system. Extracting useful and meaningful information from surveillance videos is a time consuming process due to the long time of the recorded videos. These drawbacks limit the effectiveness of traditional video surveillance systems. In this paper, we propose and elaborate on a compression method which investigates the fact that surveillance videos may last for a long time with no changes in the scene it monitors. Using this fact, a new compression technique that reduces the size of the videos dramatically was developed. We also present a dataset for low quality surveillance videos which can be used by researchers for applying different algorithms and techniques in the field of surveillance videos.
2016 Sixth International Conference on Digital Information and Communication Technology and its Applications (DICTAP)