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SSIM Motivated Quality Control for Versatile Video Coding

  • Meng Wang
  • , Shiqi Wang
  • , Junru Li
  • , Li Zhang
  • , Yue Wang
  • , Siwei Ma
  • City University of Hong Kong
  • Peking University
  • Bytedance
  • Bytedance (HK) Limited.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we investigate the encoder control algorithm driven by the visual quality in Versatile Video Coding (VVC) standard. The proposed framework shifts the traditional bit rate-centered paradigm to the quality-centered paradigm, and adopts the repeatedly proven perceptual quality measure structural similarity index (SSIM) as the core in guiding the behaviors of encoder. In particular, a reduced-reference evaluation metric which could statistically establish the relationship between the SSIM and quantization parameter, is adopted for quality control. Extensive experiments verify the effectiveness of the proposed method, leading to precise quality control in the VVC Test Model (VTM-9.0).

Original languageEnglish
Title of host publication2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1122-1127
Number of pages6
ISBN (Electronic)9789881476883
StatePublished - 7 Dec 2020
Externally publishedYes
Event2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020 - Virtual, Auckland, New Zealand
Duration: 7 Dec 202010 Dec 2020

Publication series

Name2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020 - Proceedings

Conference

Conference2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020
Country/TerritoryNew Zealand
CityVirtual, Auckland
Period7/12/2010/12/20

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