HEVC Enhancement using Content-based Local QP Selection

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

5 Citations (Scopus)
302 Downloads (Pure)

Abstract

Inspired by recent advances in objective video quality assessment, this paper proposes a novel, local quantisation parameter (QP) determination approach for perceptual video compression, based on the experimental results of a QP selection test. This method has been fully integrated into the High Eciency Video Coding (HEVC) reference codec for intra coding, which predicts coding tree unit (CTU) level QPs to achieve optimised rate quality performance. The proposed approach consistently shows bitrate savings based on perceptual quality metrics and Bjontegaard delta measurements, with minimal complexity increase over the original codec.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Image Process (ICIP 2016)
Subtitle of host publicationProceedings of a meeting held 25-29 September 2016, Phoenix, AZ, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages4215-4219
Number of pages5
ISBN (Electronic)9781467399616
ISBN (Print)9781467399623
DOIs
Publication statusPublished - Mar 2017
EventIEEE ICIP 2016 - Phoenix Convention Center, Phoenix, Arizona, United States
Duration: 25 Sep 201628 Sep 2016

Publication series

NameProceedings of the IEEE International Conference on Image Processing (ICIP)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISSN (Print)2381-8549

Conference

ConferenceIEEE ICIP 2016
CountryUnited States
CityPhoenix, Arizona
Period25/09/1628/09/16

Keywords

  • Perceptual video compression
  • quantisation parameter selection
  • HEVC

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  • Projects

    Vision for the Future-Full

    Bull, D. R.

    1/02/1531/01/20

    Project: Research

    COMPPACT

    Bull, D. R.

    8/08/128/08/15

    Project: Research

    Cite this

    Zhang, A., & Bull, D. (2017). HEVC Enhancement using Content-based Local QP Selection. In 2016 IEEE International Conference on Image Process (ICIP 2016): Proceedings of a meeting held 25-29 September 2016, Phoenix, AZ, USA (pp. 4215-4219). (Proceedings of the IEEE International Conference on Image Processing (ICIP)). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIP.2016.7533154