Title :
No-reference video quality assessment based on region of interest
Author :
Lin, Xiangyu ; Tian, Xiang ; Chen, Yaowu
Author_Institution :
Inst. of Adv. Digital Technol. & Instrum., Hangzhou, China
Abstract :
In this paper, a novel no-reference video quality assessment algorithm based on region of interest (ROI) is introduced. Firstly, the video distortion is estimated by measuring the influence of blockiness and blur artifacts. Secondly, ROI is identified utilizing the encode information extracted from the bitstream with consideration of human vision system characteristics. Finally, the video quality is predicted using both video distortion and ROI. Experimental results show that the proposed algorithm can achieve better accuracy as compared with other methods.
Keywords :
video signal processing; vision; blockiness distorion; blur artifacts; encode information; human vision system characteristics; no referennce video quality assessment; region of interest; video distortion; Distortion measurement; Humans; Image edge detection; PSNR; Prediction algorithms; Quality assessment; blockiness; blur; no-reference video quality assessment; region of interest;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4577-1414-6
DOI :
10.1109/CECNet.2012.6202131
