Inferring the QoE of HTTP video streaming from user-viewing activities

Ricky K.P. Mok, Edmond W.W. Chan, Xiapu Luo, Kow Chuen Chang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

107 Citations (Scopus)

Abstract

HTTP video streaming, employed by most of the video-sharing websites, allows users to control the video playback using, for example, pausing and switching the bit rate. These user-viewing activities can be used to mitigate the temporal structure impairments of the video quality. On the other hand, other activities, such as mouse movement, do not help reduce the impairment level. In this paper, we have performed subjective experiments to analyze user-viewing activities and correlate them with network path performance and user quality of experience. The results show that network measurement alone may miss important information about user dissatisfaction with the video quality. Moreover, video impairments can trigger user-viewing activities, notably pausing and reducing the screen size. By including the pause events into the prediction model, we can increase its explanatory power.
Original languageEnglish
Title of host publicationProceedings of the 1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11
Pages31-36
Number of pages6
DOIs
Publication statusPublished - 26 Sep 2011
Event1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11, Co-located with SIGCOMM 2011 - Toronto, ON, Canada
Duration: 15 Aug 201119 Aug 2011

Conference

Conference1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11, Co-located with SIGCOMM 2011
Country/TerritoryCanada
CityToronto, ON
Period15/08/1119/08/11

Keywords

  • http video streaming
  • qoe
  • user-viewing activities

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications

Cite this