QoE Evaluation of Multimedia Services Based on Audiovisual Quality and User Interest

Jiarun Song, Fuzheng Yang, Yicong Zhou, Shuai Wan, Hong Ren Wu

Research output: Contribution to journalArticlepeer-review

48 Scopus citations

Abstract

Quality of experience (QoE) has significant influence on whether or not a user will choose a service or product in the competitive era. For multimedia services, there are various factors in a communication ecosystem working together on users, which stimulate their different senses inducing multidimensional perceptions of the services, and inevitably increase the difficulty in measurement and estimation of the user's QoE. In this paper, a user-centric objective QoE evaluation model (QAVIC model for short) is proposed to estimate the user's overall QoE for audiovisual services, which takes account of perceptual audiovisual quality (QAV) and user interest in audiovisual content (IC) amongst influencing factors on QoE such as technology, content, context, and user in the communication ecosystem. To predict the user interest, a number of general viewing behaviors are considered to formulate the IC evaluation model. Subjective tests have been conducted for training and validation of the QAVIC model. The experimental results show that the proposed QAVIC model can estimate the user's QoE reasonably accurately using a 5-point scale absolute category rating scheme.

Original languageEnglish
Article number7389378
Pages (from-to)444-457
Number of pages14
JournalIEEE Transactions on Multimedia
Volume18
Issue number3
DOIs
StatePublished - Mar 2016

Keywords

  • Audiovisual quality
  • audiovisual services
  • quality of experience (QoE)
  • user interest
  • viewing behavior

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