SSIM-Based Global Optimization for CTU-Level Rate Control in HEVC

Mingliang ZHOU; Xuekai WEI; Shiqi WANG; Sam KWONG; Chi-Keung FONG; Peter H. W. WONG; Wilson Y. F. YUEN; Wei GAO

doi:10.1109/TMM.2019.2895281

SSIM-Based Global Optimization for CTU-Level Rate Control in HEVC

Mingliang ZHOU, Xuekai WEI, Shiqi WANG, Sam KWONG, Chi-Keung FONG, Peter H. W. WONG, Wilson Y. F. YUEN, Wei GAO

Research output: Journal Publications › Journal Article (refereed) › peer-review

57 Citations (Scopus)

Abstract

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 established model 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.

Original language	English
Pages (from-to)	1921-1933
Number of pages	14
Journal	IEEE Transactions on Multimedia
Volume	21
Issue number	8
Early online date	24 Jan 2019
DOIs	https://doi.org/10.1109/TMM.2019.2895281
Publication status	Published - Aug 2019
Externally published	Yes

Funding

This work was supported in part by Hong Kong ITF UICP under Grant 9440174, in part by the Natural Science Foundation of China under Grant 61801303 and Grant 61672443, in part by Hong Kong RGC General Research Fund 9042489 under Grant CityU 11206317, in part by Hong Kong RGC General Research Fund 9042322 under Grant CityU 11200116, in part by the National Natural Science Funds of China under Grant 61502277, in part by the Hong Kong RGC Early Career Scheme under Grant 9048122 (CityU 21211018), in part by the City University of Hong Kong under Grant 7200539/CS, and in part by the startup project of Shenzhen University (2018069).

Keywords

global optimization
Human visual perception
rate control
rate-distortion optimization

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10.1109/TMM.2019.2895281

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abstract = "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 established model 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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author = "Mingliang ZHOU and Xuekai WEI and Shiqi WANG and Sam KWONG and Chi-Keung FONG and WONG, {Peter H. W.} and YUEN, {Wilson Y. F.} and Wei GAO",

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AU - ZHOU, Mingliang

AU - WEI, Xuekai

AU - WANG, Shiqi

AU - KWONG, Sam

AU - FONG, Chi-Keung

AU - WONG, Peter H. W.

AU - YUEN, Wilson Y. F.

AU - GAO, Wei

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AB - 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 established model 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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SSIM-Based Global Optimization for CTU-Level Rate Control in HEVC

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