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author:

Lin, Jielian (Lin, Jielian.) [1] | Huang, Aiping (Huang, Aiping.) [2] | Zhao, Tiesong (Zhao, Tiesong.) [3] | Wang, Xu (Wang, Xu.) [4] | Kwong, Sam (Kwong, Sam.) [5]

Indexed by:

EI Scopus SCIE

Abstract:

With a significant Rate-Distortion (RD) improvement than H.265/HEVC, Versatile Video Coding (VVC) has set a new milestone in lossy video compression. It also incorporates the emerging ?-domain rate control technique, aiming at a higher visual quality under a fixed bit constraint. However, the challenge remains how to efficiently allocate bits to all frames and Coding Tree Units (CTUs). In this paper, we propose an effective solution by formulating the above task as a Nash equilibrium problem, where all CTUs are treated as players that bargains with each other. By introducing ?-domain RD models, a constrained optimization is derived with no closed-form solution. We then propose a two-step strategy to address this issue: a Newton method to iteratively calculate an intermediate variable, and a final solution of Nash equilibrium to obtain an approximately optimal ?. Finally, we utilize the derived 1 to perform an effective CTU-level bit allocation, which is the very first attempt to introduce Nash equilibrium in ?-domain rate control. Experimental results with Common Test Conditions (CTC) demonstrate the effectiveness and superiority of our method, which outperforms the state-of-the-art CTU-level rate allocation algorithms for VVC.

Keyword:

& lambda;-domain RD model rate control video coding VVC

Community:

  • [ 1 ] [Lin, Jielian]Fuzhou Univ, Fujian Key Lab Intelligent Proc & Wireless Transmi, Fuzhou 350116, Peoples R China
  • [ 2 ] [Huang, Aiping]Fuzhou Univ, Fujian Key Lab Intelligent Proc & Wireless Transmi, Fuzhou 350116, Peoples R China
  • [ 3 ] [Zhao, Tiesong]Fuzhou Univ, Fujian Key Lab Intelligent Proc & Wireless Transmi, Fuzhou 350116, Peoples R China
  • [ 4 ] [Zhao, Tiesong]Peng Cheng Lab, Shenzhen 518055, Peoples R China
  • [ 5 ] [Wang, Xu]Shenzhen Univ, Coll Comp Sci & Software Engn, Shenzhen 518060, Peoples R China
  • [ 6 ] [Wang, Xu]Shenzhen Univ, Guangdong Lab Artificial Intelligence & Digital Ec, Shenzhen 518060, Peoples R China
  • [ 7 ] [Kwong, Sam]City Univ Hong Kong, Dept Comp Sci, Hong Kong, Peoples R China

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Source :

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

ISSN: 1051-8215

Year: 2023

Issue: 7

Volume: 33

Page: 3477-3487

8 . 3

JCR@2023

8 . 3 0 0

JCR@2023

ESI Discipline: ENGINEERING;

ESI HC Threshold:35

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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