Quantitative and qualitative assessment of QoE for multimedia services in wireless environment

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

Abstract

Quality of Experience (QoE) is emerging as the holy grail of human-centric multimedia services. QoE is a multi-disciplinary field based on social psychology, cognitive science, economics and engineering science, focused on understanding overall human quality of experience requirements. QoE has been viewed as the pivotal set of metrics in determining the success or failure of any product or service. In real time environment, QoE is influenced by multiple service factors such as application and network level QoS parameters, content, and business aspects. We emulate wireless environment and analyze the combined impact of the network and application level QoS parameters and content characteristics over user perceived quality for video streaming service. We use Rough Set Theory (RST) for quantitative assessment and simple CCA frame work for qualitative assessment of user data in order to understand the influence of multiple multimedia service parameters over QoE.

Original languageEnglish
Title of host publicationMoVid'12 - Proceedings of the 4th Workshop on Mobile Video
PublisherAssociation for Computing Machinery
Pages7-12
Number of pages6
ISBN (Print)9781450311663
DOIs
Publication statusPublished - 24 Feb 2012
Externally publishedYes
Event4th Workshop on Mobile Video, MoVid 2012, held in conjunction with ACM Multimedia Systems, MMSys 2012 - Chapel Hill, NC, United States
Duration: 24 Feb 201224 Feb 2012

Publication series

NameMoVid'12 - Proceedings of the 4th Workshop on Mobile Video

Conference

Conference4th Workshop on Mobile Video, MoVid 2012, held in conjunction with ACM Multimedia Systems, MMSys 2012
Country/TerritoryUnited States
CityChapel Hill, NC
Period24/02/1224/02/12

Keywords

  • QoE
  • QoS
  • content
  • qualitative assessment
  • rough set theory
  • user experience
  • video streaming
  • wireless

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