Crowdsourcing based subjective quality assessment of adaptive video streaming

M. Shahid, Jacob Søgaard, J. Pokhrel, K. Brunnström, K. Wang, S. Tavakoli, N. Garcia

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

In order to cater for user’s quality of experience (QoE) re- quirements, HTTP adaptive streaming (HAS) based solutions of video services have become popular recently. User QoE feedback can be instrumental in improving the capabilities of such services. Perceptual quality experiments that involve humans are considered to be the most valid method of the as- sessment of QoE. Besides lab-based subjective experiments, crowdsourcing based subjective assessment of video quality is gaining popularity as an alternative method. This paper presents insights into a study that investigates perceptual pref- erences of various adaptive video streaming scenarios through crowdsourcing based subjective quality assessment.
Original languageEnglish
Title of host publicationProceedings of Sixth International Workshop on Quality of Multimedia Experience 2014
Number of pages2
PublisherIEEE
Publication date2014
Pages53-54
DOIs
Publication statusPublished - 2014
Event6th International Workshop on Quality of Multimedia Experience - Singapore, Singapore
Duration: 18 Sep 201420 Sep 2014

Conference

Conference6th International Workshop on Quality of Multimedia Experience
CountrySingapore
CitySingapore
Period18/09/201420/09/2014

Keywords

  • Adaptive streaming
  • Subjective
  • Video quality assessment
  • Crowdsourcing
  • Buffering

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