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.