On evaluating perceptual quality of online user-generated videos

Soobeom Jang, Jong Seok Lee

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

This paper deals with the issue of the perceptual quality evaluation of user-generated videos shared online, which is an important step toward designing video-sharing services that maximize users' satisfaction in terms of quality. We first analyze viewers' quality perception patterns by applying graph analysis techniques to subjective rating data. We then examine the performance of existing state-of-the-art objective metrics for the quality estimation of user-generated videos. In addition, we investigate the feasibility of metadata accompanied with videos in online video-sharing services for quality estimation. Finally, various issues in the quality assessment of online user-generated videos are discussed, including difficulties and opportunities.

Original languageEnglish
Article number7492273
Pages (from-to)1808-1818
Number of pages11
JournalIEEE Transactions on Multimedia
Volume18
Issue number9
DOIs
Publication statusPublished - 2016 Sep

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All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Media Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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