A High-Performance Rate Control Algorithm in Versatile Video Coding Based on Spatial and Temporal Feature Complexity

Zeming Zhao, Xiaohai He*, Shuhua Xiong, Liqiang He, Honggang Chen, Raymond Sheriff

*Corresponding author for this work

Research output: Contribution to journalArticle (journal)peer-review

1 Citation (Scopus)
56 Downloads (Pure)

Abstract

This paper presents a high-performance rate control (HPRC) algorithm for the Versatile Video Coding (VVC) standard that aims to achieve higher coding efficiency by considering spatial and temporal feature complexity. The HPRC algorithm differs from conventional rate control (RC) algorithms in that it uses an adaptive Canny operator (ACO) with a novel double-threshold algorithm to obtain the feature complexity of video content accurately. Moreover, an advanced bit allocation strategy at the frame-level and coding tree unit (CTU)-level is constructed to realize rational RC by thoroughly exploring the relationship between coding bits and complexity. To improve the precision of RC, an appropriate parameter updating based on the quasi-Newton algorithm is also proposed. Experimental results demonstrate that the proposed HPRC algorithm outperforms the default RC algorithm in VVC Test Model (VTM) 18.0, with Bjontegaard Delta Rate (BD-Rate) savings of 8.77 % and 10.34 % under Low Delay_P and Random Access configurations, respectively. Furthermore, the proposed algorithm also shows performance enhancements compared to other advanced algorithms.
Original languageEnglish
Pages (from-to)753-766
Number of pages14
JournalIEEE Transactions on Broadcasting
Volume69
Issue number3
Early online date3 May 2023
DOIs
Publication statusPublished - 1 Sept 2023

Keywords

  • Versatile Video Coding
  • Rate Control
  • Adaptive Canny Operator
  • Spatial and Temporal Feature Complexity
  • Parameter Updating
  • Electrical and Electronic Engineering
  • Media Technology
  • parameter updating
  • adaptive Canny operator
  • Versatile video coding
  • rate control
  • spatial and temporal feature complexity

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