Rate Control via Adjustment of Lagrange Multiplier for Video Coding

Chih Hung Kuo, Yi Liang Shih, Ssu Chieh Yang

Research output: Contribution to journalArticlepeer-review

7 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 languageEnglish
Pages (from-to)2069-2078
Number of pages10
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume26
Issue number11
DOIs
Publication statusPublished - 2016 Nov

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Electrical and Electronic Engineering

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