An adaptive QP offset determination method for HEVC

Miltiadis Alexios Papadopoulos, Aaron Zhang, Dimitris Agrafiotis, David Bull

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

8 Citations (Scopus)
370 Downloads (Pure)

Abstract

This paper investigates the effect that the QP offset value has on the coding performance of HEVC. We relate QP offset to the type of texture content present in the sequence. These then are used to develop a low-complexity adaptive QP offset selection method. This enables in-loop configuration of the QP offset parameter in a way that is content dependent and utilizes available encoding statistics. The proposed adaptive method is found to offer average bitrate reductions ranging from 1.38% for dynamic texture sequences up to 1.59% for static texture sequences relative to the QP offset used in the JCT-VC common test conditions.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Image Processing (ICIP 2016)
Subtitle of host publicationProceedings of a meeting held 25-28 September 2016, Phoenix, Arizona, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages4220-4224
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

Name
ISSN (Print)2381-8549

Conference

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

Keywords

  • HEVC
  • QP offset
  • adaptive method

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  • Cite this

    Papadopoulos, M. A., Zhang, A., Agrafiotis, D., & Bull, D. (2017). An adaptive QP offset determination method for HEVC. In 2016 IEEE International Conference on Image Processing (ICIP 2016): Proceedings of a meeting held 25-28 September 2016, Phoenix, Arizona, USA (pp. 4220-4224). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIP.2016.7533155