Rate Control via Adjustment of Lagrange Multiplier for Video Coding

Chih Hung Kuo; Yi Liang Shih; Ssu Chieh Yang

doi:10.1109/TCSVT.2015.2501921

Rate Control via Adjustment of Lagrange Multiplier for Video Coding

Chih Hung Kuo, Yi Liang Shih, Ssu Chieh Yang

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

In this paper, we propose to improve the performance of the rate-control mechanism in video encoders by adaptively adjusting the Lagrange multiplier λ based on the stochastic subgradient method. Using this λ value for each coding unit, the quantization parameter (QP) is sought in the process of rate-distortion optimization (RDO). A log-linear model can be utilized to predict the most probable QP and accordingly narrow the search range. The generated bit number is used to update the λ value for the next coding unit. The extensive experimental results show that the proposed rate-control mechanism significantly enhances the rate-distortion performance compared with the H.264/AVC (Advanced Video Coding) reference software.

Original language	English
Pages (from-to)	2069-2078
Number of pages	10
Journal	IEEE Transactions on Circuits and Systems for Video Technology
Volume	26
Issue number	11
DOIs	https://doi.org/10.1109/TCSVT.2015.2501921
Publication status	Published - 2016 Nov

All Science Journal Classification (ASJC) codes

Media Technology
Electrical and Electronic Engineering

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abstract = "In this paper, we propose to improve the performance of the rate-control mechanism in video encoders by adaptively adjusting the Lagrange multiplier λ based on the stochastic subgradient method. Using this λ value for each coding unit, the quantization parameter (QP) is sought in the process of rate-distortion optimization (RDO). A log-linear model can be utilized to predict the most probable QP and accordingly narrow the search range. The generated bit number is used to update the λ value for the next coding unit. The extensive experimental results show that the proposed rate-control mechanism significantly enhances the rate-distortion performance compared with the H.264/AVC (Advanced Video Coding) reference software.",

author = "Kuo, {Chih Hung} and Shih, {Yi Liang} and Yang, {Ssu Chieh}",

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AB - In this paper, we propose to improve the performance of the rate-control mechanism in video encoders by adaptively adjusting the Lagrange multiplier λ based on the stochastic subgradient method. Using this λ value for each coding unit, the quantization parameter (QP) is sought in the process of rate-distortion optimization (RDO). A log-linear model can be utilized to predict the most probable QP and accordingly narrow the search range. The generated bit number is used to update the λ value for the next coding unit. The extensive experimental results show that the proposed rate-control mechanism significantly enhances the rate-distortion performance compared with the H.264/AVC (Advanced Video Coding) reference software.

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Rate Control via Adjustment of Lagrange Multiplier for Video Coding

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