Effective macroblock layer rate control algorithm for H.264/AVC

  • Authors:
  • Dandan Zhao;Yujie Zhou;Dayong Wang;Junfa Mao

  • Affiliations:
  • Shanghai Jiao Tong University, Shanghai, PR China;Shanghai Jiao Tong University, Shanghai, PR China;Shanghai Jiao Tong University, Shanghai, PR China;Shanghai Jiao Tong University, Shanghai, PR China

  • Venue:
  • Computers and Electrical Engineering
  • Year:
  • 2011

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Abstract

Rate control plays a critical role in the video encoder. In this paper, an effective macroblock (MB) layer rate control algorithm is proposed for H.264/AVC to improve video quality and reduce the computational complexity. By thoroughly analyzing the temporal-spatial correlation and object direction, the mean absolute difference (MAD) value of current MB is a weighted combination of temporal MAD predicted by previous frame and spatial MAD predicted by current frame, and then four directional patterns are chosen adaptively for data point selection in quadratic rate-quantization (R-Q) model parameters estimation. Finally, a more accurate header bits prediction model is developed to improve the accuracy of allocated bits which can be used for quantization parameter (QP) calculation. Extensive experiment results show that compared with JVT-G012, the proposed algorithm achieves higher average peak signal to noise ratio (PSNR) up to 0.51dB improvements and more accurate target bit rates.