Binocular perception based reduced-reference stereo video quality assessment method |
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| Affiliation: | 1. Faculty of Information Science and Engineering, Ningbo University, Ningbo, China;2. National Key Lab of Software New Technology, Nanjing University, Nanjing, China;1. Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing 100191, China;2. State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China;1. Universidad Técnica Federico Santa María, Av. España 1680, CP 110-V Valparaíso, Chile;2. Department of Computer Science, TU Dortmund University, Germany;1. School of Information Science and Engineering, Huaqiao University, Xiamen, China;2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore |
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| Abstract: | A new reduced-reference (RR) stereo video quality assessment method is proposed in this paper by considering temporal characteristics of video and binocular perception in human visual system (HVS). Firstly, motion intensity is utilized to extract RR frames for the purpose of temporal characteristics in stereo video. Secondly, according to internal generative mechanism of HVS, fusion and rivalry in the process of binocular perception is modeled, and the RR frames are divided into binocular fusion portion and binocular rivalry portion. Then, RR frame quality indicators are computed for these two portions. Finally, the RR frame quality indicators of the original and distorted frames are compared. A temporal pooling strategy is utilized on these quality indicators to obtain final stereo video quality score, where the motion intensity is used for toning the pooling parameters. Experimental results show that the proposed method has better performances when compared to other state-of-the-art quality assessment methods. |
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| Keywords: | Stereo video quality assessment Binocular vision Temporal characteristics Reduced-reference frame Motion intensity |
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