A Rate Control Using Adaptive Model-Based Quantization

  • Seonki Kim
  • Tae-Jung Kim
  • Sang-Bong Lee
  • Jae-Won Suh
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4319)


The rate control is an essential component in video coding to provide a uniform quality under given coding constraints. The source distribution to be quantized cannot be defined as a single model in the video sequence. In this paper, we present a new rate control algorithm based on the Generalized Gaussian R-D model. Through considering a relation between adjacent frames or macroblocks, we determine model parameters, and perform a rate control on the H.264/AVC video codec. As shown in experimental results, the proposed algorithm provides an improved quality of the reconstructed picture after encoding. In addition, our scheme generates the number of bits close to the target bitrate.


Video Code Quantization Parameter Video Codec Distortion Parameter Rate Control Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Seonki Kim
    • 1
  • Tae-Jung Kim
    • 2
  • Sang-Bong Lee
    • 2
  • Jae-Won Suh
    • 2
  1. 1.LG Electronics, Inc.SeoulKorea
  2. 2.School of Electrical and Computer EngineeringChungbuk National UniversityChongjuKorea

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