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A New Compression Technique for Surveillance Videos: Evaluation Using New Dataset

Research Authors
Islam A.T.F. Taj-Eddin, Mahmoud Afifi, Mostafa Korashy, Doha Hamdy, Marwa Nasser, Shimaa Derbaz
Research Department
Research Journal
Proceedings of 6th International Conference on Digital Information & Communication Technology & its Applications (DICTAP2016)
Research Member
Research Rank
3
Research Publisher
IEEE
Research Vol
ISBN: 978-1-4673-9608-0 ©2016 IEEE
Research Website
http://www.sdiwc.net/conferences/dictap2016/
Research Year
2016
Research_Pages
pp. 159-164
Research Abstract

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.