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author:

Lin, J. (Lin, J..) [1] | Huang, A. (Huang, A..) [2] | Zhao, T. (Zhao, T..) [3] | Wang, X. (Wang, X..) [4] | Kwong, S. (Kwong, S..) [5]

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Scopus

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 λ -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 λ -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 λ. Finally, we utilize the derived λ to perform an effective CTU-level bit allocation, which is the very first attempt to introduce Nash equilibrium in λ -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.  © 1991-2012 IEEE.

Keyword:

λ-domain RD model rate control video coding VVC

Community:

  • [ 1 ] [Lin J.]Fuzhou University, Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou, 350116, China
  • [ 2 ] [Huang A.]Fuzhou University, Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou, 350116, China
  • [ 3 ] [Zhao T.]Fuzhou University, Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou, 350116, China
  • [ 4 ] [Zhao T.]Peng Cheng Laboratory, Shenzhen, 518055, China
  • [ 5 ] [Wang X.]Shenzhen University, College of Computer Science and Software Engineering, Shenzhen, 518060, China
  • [ 6 ] [Wang X.]Shenzhen University, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, 518060, China
  • [ 7 ] [Kwong S.]City University of Hong Kong, Department of Computer Science, Hong Kong, Hong Kong

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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 HC Threshold:35

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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