Research on binocular stereo video attention model based on human visual system

In order to solve the enormous pressure of the stereo video surveillance mass data storage and transmission, the human visual system(HVS) is introduced into the stereo video compressing coding by researchers, but the perception mechanism of inter-view and the inherent characteristics of monitoring the scene are neglected, hence the coding efficiency is affected. Therefore, this paper puts forward the surveillance-oriented binocular stereo video attention model for video coding. Firstly, the paper analyzes the binocular competition perception mechanism of stereo video, then, it builds up an attention model of binocular stereo video coding framework, lastly, it is applied perception rate allocation. It is expected that in the case of the same subjective quality, this research can reduce 20% of the coding bitrates to meet the professional needs of video surveillance system from 2D to stereo upgrade and updating.