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Improved Bit Allocation Using Distortion for the CTU-Level Rate Control in HEVC

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Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 515))

Abstract

The research on rate control has always been a hot topic in video coding. Although H.265/HEVC is the latest video coding standard, the mismatch between the number of target bits and that of actual coding bits in the coding process still exists. A large number of experimental results have shown that the R-D model is superior to the R-λ model in terms of the matching degree of bit allocation. In this paper, a novel bit allocation method is proposed. First, the recursive Taylor expansion equation solving method is used to solve the rate-distortion (constrained problem) optimization equation, and then the R-D model is used to optimize the CTU-level target bit allocation.The simulation results indicate that the average bitrate error is only 0.19%, while the mean peak signal-to-noise ratio (MPSNR) increases by 0.14 dB.

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References

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Acknowledgment

This work has been supported by the National Natural Science Foundation of China (NSFC) under project No.61401123, the Fundamental Research Funds for the Central Universities under grant No. HIT.NSRIF.201617, and the Harbin Science and Technology Bureau under project No.2014RFQXJ166.

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Authors and Affiliations

  1. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, 150001, China

    Xin Lu, Bixing Zhou & Yanfeng Gu

  2. School of Computer & Information Engineering, Harbin University of Commerce, Harbin, 150028, China

    Xuesong Jin

Authors
  1. Xin Lu
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  2. Bixing Zhou
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  3. Xuesong Jin
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  4. Yanfeng Gu
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Corresponding author

Correspondence to Bixing Zhou .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China

    Xin Liu

  3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  6. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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Lu, X., Zhou, B., Jin, X., Gu, Y. (2019). Improved Bit Allocation Using Distortion for the CTU-Level Rate Control in HEVC. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 515. Springer, Singapore. https://doi.org/10.1007/978-981-13-6264-4_35

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  • DOI: https://doi.org/10.1007/978-981-13-6264-4_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6263-7

  • Online ISBN: 978-981-13-6264-4

  • eBook Packages: EngineeringEngineering (R0)

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