QoE modelling for VP9 and H.265 videos on mobile devices

Wei Song, Yao Xiao, Dian Tjondronegoro, Antonio Liotta

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

2 Citations (Scopus)


Current mobile devices and streaming video services support high definition (HD) video, increasing expectation for more contents. HD video streaming generally requires large bandwidth, exerting pressures on existing networks. New generation of video compression codecs, such as VP9 and H.265/HEVC, are expected to be more effective for reducing bandwidth. Existing studies to measure the impact of its compression on users' perceived quality have not been focused on mobile devices. Here we propose new Quality of Experience (QoE) models that consider both subjective and objective assessments of mobile video quality. We introduce novel predictors, such as the correlations between video resolution and size of coding unit, and achieve a high goodnessof-fit to the collected subjective assessment data (adjusted Rsquare >83%). The performance analysis shows that H.265 can potentially achieve 44% to 59% bit rate saving compared to H.264/AVC, slightly better than VP9 at 33% to 53%, depending on video content and resolution.

Original languageEnglish
Title of host publicationMM 2015 - Proceedings of the 2015 ACM Multimedia Conference
PublisherAssociation for Computing Machinery, Inc
Number of pages10
ISBN (Electronic)9781450334594
Publication statusPublished - 13 Oct 2015
Event23rd ACM International Conference on Multimedia, (MM2015) - Brisbane, Australia
Duration: 26 Oct 201530 Oct 2015


Conference23rd ACM International Conference on Multimedia, (MM2015)
Abbreviated titleMM2015


  • H.264/AVC
  • H.265/HEVC
  • Mobile device.
  • QoE modeling
  • Video quality assessment
  • VP9


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