A Comparative Quality Assessment Study for Gaming and Non-Gaming Videos

Nabajeet Barman, Maria G. Martini, Saman Zadtootaghaj, Sebastian Moller, Sanghoon Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

Recent years have seen a tremendous increase in video traffic with the rise of Over The Top (OTT) services. Along with traditional Video on demand (VoD) streaming services (e.g., Netflix, YouTube), live video services (e.g., Twitch. tv, YouTubeGaming, Facebook Live) have also resulted in a tremendous share of Internet traffic. Among the live streaming services, gaming video streaming has a major share, with Twitch.tv alone currently responsible for the fourth highest peak Internet traffic in the US. As a consequence of this, and due to the fact that gaming videos are artificial and synthetic, it is worth investigating the specificity of gaming videos in relation to compression and the consequent end user QoE. In this paper, we present an objective and subjective quality comparison study for regular videos and gaming videos, with 30 video sequences (15 per type), encoded using the state of the art encoder HEVC. We discuss the similarity and dissimilarity between the two video types and also discuss how these observations can be used to improve the end user QoE.

Original languageEnglish
Title of host publication2018 10th International Conference on Quality of Multimedia Experience, QoMEX 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538626054
DOIs
Publication statusPublished - 2018 Sep 11
Event10th International Conference on Quality of Multimedia Experience, QoMEX 2018 - Sardinia, Italy
Duration: 2018 May 292018 Jun 1

Publication series

Name2018 10th International Conference on Quality of Multimedia Experience, QoMEX 2018

Other

Other10th International Conference on Quality of Multimedia Experience, QoMEX 2018
CountryItaly
CitySardinia
Period18/5/2918/6/1

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 643072. The authors would like to thank members of Multidimensional Insight Lab, Yonsei University, Seoul, South Korea for participating in the subjective test.

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Safety, Risk, Reliability and Quality

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