A surveillance video compression algorithm based on regional dictionary
1 Beijing Engineering Research Center for IoT Software and Systems, 100124 Beijing, China
2 School of Software Engineering, Beijing University of Technology, 100124 Beijing, China
Surveillance video system as an effective means of public safety widely appeared in people’s life in recent years. Traditional video coding technology, the encoding process is complex, computation, and conflicts with hardware limitations of the monitoring system. This paper presents a kind method used to design and train redundant dictionary based on image region. Each frame is divided into same-sized area with equal blocks, then the image areas of the same position are put together as the training sample library of regional redundant dictionary. In this way, redundant dictionary compression results in the occupied volume can be reduce. On top of this dictionary, surveillance video compression coding algorithm based on the regional dictionary is designed and implemented. Experimental results show that the proposed algorithm can effectively improve the compression ratio of the algorithm.
© Owned by the authors, published by EDP Sciences, 2016
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