Journal
IEEE TRANSACTIONS ON MULTIMEDIA
Volume 21, Issue 8, Pages 1921-1933Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMM.2019.2895281
Keywords
Human visual perception; rate control; rate-distortion optimization; global optimization
Categories
Funding
- Hong Kong ITF UICP [9440174]
- Natural Science Foundation of China [61801303, 61672443]
- Hong Kong RGC General Research Fund [9042489, CityU 11206317, 9042322, CityU 11200116]
- National Natural Science Funds of China [61502277]
- Hong Kong RGC Early Career Scheme [9048122, CityU 21211018]
- City University of Hong Kong [7200539/CS]
- startup project of Shenzhen University [2018069]
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In this paper, we propose a coding tree unit (CTU)-level rate control scheme from the perspective of SSIM-based rate-distortion optimization to improve the coding efficiency. First, we establish the SSIM-based rate-distortion model based on the divisive normalization scheme, which characterizes the relationship between the local visual quality and the coding bits. Then, the establishedmodel is applied to the CTU-level rate control and transformed into a global optimization problem solved by convex optimization. Finally, a new model parameter updating strategy for the CTU-level rate control is presented that is robust to scene variations. Our algorithm can achieve optimal CTU-level bit allocation given the bit-rate budget. The experimental results show that our algorithm substantially enhances the coding performance and consistently outperforms both the rate control scheme in the HEVC reference software and existing algorithms in terms of rate-perceptual distortion performance using different test configurations.
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