On Evaluating Perceptual Quality of Online User-Generated Videos

Soobeom Jang; Jong-Seok Lee

doi:10.1109/TMM.2016.2581582

On Evaluating Perceptual Quality of Online User-Generated Videos

Multimedia 2018-09-17 v1 Image and Video Processing

Authors: Soobeom Jang , Jong-Seok Lee

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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.

Keywords

user-generated videos perceptual quality evaluation subjective rating graph analysis objective metrics metadata video-sharing services

Cite

@article{arxiv.1809.05220,
  title  = {On Evaluating Perceptual Quality of Online User-Generated Videos},
  author = {Soobeom Jang and Jong-Seok Lee},
  journal= {arXiv preprint arXiv:1809.05220},
  year   = {2018}
}

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Published in IEEE Transactions on Multimedia

On Evaluating Perceptual Quality of Online User-Generated Videos

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