Abstract
In this paper, we propose to improve the performance of the rate-control mechanism in video encoders by adaptively adjusting the Lagrange multiplier $\lambda $ based on the stochastic subgradient method. Using this $\lambda $ 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 $\lambda $ 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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