Spatial quality index based rate perceptual-distortion optimization for video coding |
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| Affiliation: | 1. Institute of Information and Communication Engineering, Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking, Zhejiang University, Hangzhou 310027, China;2. Central Research Institute, Huawei Technologies Co., Ltd., Hangzhou 310052, China;1. Key Laboratory of Image and Video Understanding for Social Safety, Nanjing University of Science and Technology, Nanjing 210094, PR China;2. Collaborative Innovation Center of Social Safety Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, PR China;3. The 28th Research Institute of China Electronic Technology Group Corporation, Nanjing 210007, PR China;4. State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, PR China;1. Department of Mathematics and Physics, North China Electric Power University, China;2. School of Science, Communication University of China, China;1. School of Science, Tianjin University, 300072, China;2. State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, 300072, China;1. School of Software Engineering, Tongji University, Shanghai 201804, China;2. Nanyang Technological University, Singapore |
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| Abstract: | Spatial Quality Index (SQI) is a recently proposed video quality assessment metric that can predict video quality much close to subjective judgments. Since current video coding still has much redundancy in the sense of visual perception, in this paper, we incorporate SQI into video coding to further improve compression ratio without visual quality loss. Firstly, contributions of different human visual system (HVS) properties used in SQI are analyzed. Then two most important HVS properties, i.e. contrast masking effect (CME) and motion masking effect (MME), are extracted to measure perceptual-distortion Dp in video coding. Finally, based on Dp, a rate perceptual-distortion optimization (RpDO) algorithm is presented by adopting a suitable Lagrange multiplier from previous study. Experimental results show that, RpDO can averagely achieve 14% bitrate reduction when compared to HM14.0 under the same visual quality. At the same time, there is no significant change in the encoding time. |
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| Keywords: | Perceptual video coding Rate distortion optimization Contrast masking Motion masking Spatial Quality Index |
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