| With the development of communication industry, increasingly close contacts between people, just as video telephony, video conferencing,which have been widely applied in life, the video monitor also dissemination and the application in all areas, however, the video file contains a large number of text, image, voice and other data, and fast, high-quality video transmission has become the industry concern. As the increasing demands for intuitively simple network information, multimedia and while maintaining the premise of high-definition screen to pursue a higher data rate and occupy less bandwidth, has become the ultimate goal of video compression technology.This paper analyzes the characteristics of surveillance video and image features on the geometric scale invariance to study the parameter extraction based on motion compensation method for video compression and restoration of the feasibility of proposed parameter extraction based on motion compensation for video compression and transmission scheme And the Fourier-Mellin algorithm in MATLAB 7.1 GUI visualization interface of the algorithm implementation. Proven, using motion compensation parameter extraction can be effective on the video compression, can use the motion parameters and the residual frame to restore the video, save big video storage space, greatly reduces the bandwidth requirements of video signal transmission. Experimental results show that motion parameter extraction using video compression and transmission is feasible, especially for low-speed fixed network camera and video applications environment for wireless sensor networks to provide video surveillance based on video compression algorithms. |
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