Title :
Research on binocular stereo video attention model based on human visual system
Author :
Ruan RuoIin ; Xia Yang ; Yin Liming ; Wu Aixia ; Shen Jing
Author_Institution :
Sch. of Electron & Inf. Eng., Hubei Univ. of Sci. & Technol., Xianning, China
Abstract :
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.
Keywords :
data compression; stereo image processing; video coding; video surveillance; HVS; binocular stereo video coding framework; human visual system; interview perception mechanism; perception rate allocation; scene monitoring; stereo updating; stereo upgrade; stereo video binocular competition perception mechanism; stereo video compressing coding; stereo video surveillance mass data storage; stereo video surveillance transmission; surveillance-oriented binocular stereo video attention model; Analytical models; Educational institutions; Monitoring; Software; Binocular stereo video; HVS; attention model; video surveillance;
Conference_Titel :
Computer Science & Education (ICCSE), 2013 8th International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4673-4464-7
DOI :
10.1109/ICCSE.2013.6554061