Video Quality Enhancement via QP Adaptation Based on Perceptual Coding Maps

Miltiadis-Alexios Papadopoulos, Yashas Rai Kurlethimar, Angeliki Katsenou, Dimitris Agrafiotis, Patrick Le Callet, David Bull

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

Abstract

This paper introduces a method for adapting block quantisation parameter values in HEVC video compression based on perceptual coding maps. These maps are computed per block taking into account masking effects. Masking levels are calculated using spatial, temporal and foveation features that are extracted from the video and are stored in a perceptual coding map. The produced map drives a QP adaptation process that aims to redistribute coding bits in the frame so that the perceived quality is improved, especially at those bitrates where coding artifacts become visible (mid to high QP values). The subjective performance evaluation that was conducted showed that the proposed method can offer a measurable improvement in perceived quality relative to a constant QP approach, with Bjontegaard mean opinion scores (MOS) gains reaching almost 9% for the test sequences used. The paper additionally highlights the need for further work in order to increase gains in perceived quality and optimise parameter selection.
Original languageEnglish
Title of host publication2017 IEEE International Conference on Image Processing (ICIP 2017)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages2741-2746
Number of pages6
ISBN (Electronic)9781509021758
ISBN (Print)9781509021765
DOIs
Publication statusPublished - Apr 2018

Publication series

Name
ISSN (Print)2381-8549

Keywords

  • Perceptual coding maps
  • QP variation
  • HEVC
  • Subjective quality assessment

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    Papadopoulos, M-A., Rai Kurlethimar, Y., Katsenou, A., Agrafiotis, D., Le Callet, P., & Bull, D. (2018). Video Quality Enhancement via QP Adaptation Based on Perceptual Coding Maps. In 2017 IEEE International Conference on Image Processing (ICIP 2017) (pp. 2741-2746). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIP.2017.8296781