An Improved Video Compression Algorithm for Lane Surveillance

In order to process huge volume of data efficiently in video surveillance system, it is very necessary and important to find out high efficient video retrieval techniques and advanced video compression techniques. This paper presents an improved video compression algorithm for lane supervision, which considers the implementation of video retrieval at the stage of video compression. This improved video compression algorithm combines the following three parts: shot segmentation based on detection of moving vehicle; key frame extraction based on vehicle-license- plate locating; video compression in which the I frame, B frame and P frame is decided by the former two steps. Experimental results show that the algorithm presented in this paper not only increases the compression ratio, but also improves the quality of the video reverting from compressed video and improves the efficiency and performance of the later video retrieval.