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Linear Model-Based Optimal VVC Intercoding Rate Control Scheme

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International Conference on Neural Computing for Advanced Applications (NCAA 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1869))

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Abstract

In this paper, we propose a rate control (RC) scheme with a linear model in versatile video coding (VVC) intercoding, our method introduces a compromise global Lagrange multiplier to minimize the distortion induced under group-of-pictures (GOP)- and frame-level bit budget constraints. To obtain the optimal solution, the corresponding problem is transformed into a convex optimization problem. Then, the Karush-Kuhn-Tucker (KKT) conditions are used to obtain the optimal quantization parameter (QP). The experimental results show that our RC algorithm achieves better coding efficiency, a better RC effect, and higher subjective quality than the default algorithm in VVC Test Model (VTM) 17.0 and other state-of-the-art algorithms.

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Author information

Authors and Affiliations

  1. State Key Laboratory of Internet of Things for Smart City and Department of Electrical and Computer Engineering, University of Macau, Macao, 999078, China

    Xuekai Wei

  2. School of Computer Science, Chongqing University, Chongqing, 400044, China

    Mingliang Zhou

  3. Department of Computer Science, City University of Hong Kong, Kowloon, 999077, Hong Kong, China

    **ngran Liao

Authors
  1. Xuekai Wei
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  2. Mingliang Zhou
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  3. **ngran Liao
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Corresponding author

Correspondence to Mingliang Zhou .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology, Shenzhen, China

    Haijun Zhang

  2. Chaohu University, Hefei, China

    Yinggen Ke

  3. Chongqing University, Chongqing, China

    Zhou Wu

  4. South China Normal University, Guangzhou, China

    Tianyong Hao

  5. Hefei University of Technology, Hefei, China

    Zhao Zhang

  6. Technical University of Denmark, Kongens Lyngby, Denmark

    Weizhi Meng

  7. Chaohu University, Hefei, China

    Yuanyuan Mu

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Wei, X., Zhou, M., Liao, X. (2023). Linear Model-Based Optimal VVC Intercoding Rate Control Scheme. In: Zhang, H., et al. International Conference on Neural Computing for Advanced Applications. NCAA 2023. Communications in Computer and Information Science, vol 1869. Springer, Singapore. https://doi.org/10.1007/978-981-99-5844-3_37

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  • DOI: https://doi.org/10.1007/978-981-99-5844-3_37

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-5843-6

  • Online ISBN: 978-981-99-5844-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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