Mid Sweden University

miun.sePublications
Planned maintenance
A system upgrade is planned for 10/12-2024, at 12:00-13:00. During this time DiVA will be unavailable.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Video quality of video professionals for Video Assisted Referee (VAR)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-). RISE Research Institutes of Sweden, Kista, Sweden.ORCID iD: 0000-0001-5060-9402
Show others and affiliations
2023 (English)In: IS and T International Symposium on Electronic Imaging Science and Technology, Society for Imaging Science & Technology , 2023, no 10Conference paper, Published paper (Refereed)
Abstract [en]

Changes in the footballing world's approach to technology and innovation contributed to the decision by the International Football Association Board to introduce Video Assistant Referees (VAR). The change meant that under strict protocols referees could use video replays to review decisions in the event of a "clear and obvious error" or a "serious missed incident". This led to the need by Fédération Internationale de Football Association (FIFA) to develop methods for quality control of the VAR-systems, which was done in collaboration with RISE Research Institutes of Sweden AB. One of the important aspects is the video quality. The novelty of this study is that it has performed a user study specifically targeting video experts i.e., to measure the perceived quality of video professionals working with video production as their main occupation. An experiment was performed involving 25 video experts. In addition, six video quality models have been benchmarked against the user data and evaluated to show which of the models could provide the best predictions of perceived quality for this application. Video Quality Metric for variable frame delay (VQM_VFD) had the best performance for both formats, followed by Video Multimethod Assessment Fusion (VMAF) and VQM General model. 

Place, publisher, year, edition, pages
Society for Imaging Science & Technology , 2023. no 10
National Category
Sport and Fitness Sciences
Identifiers
URN: urn:nbn:se:miun:diva-49292DOI: 10.2352/EI.2023.35.10.HVEI-259Scopus ID: 2-s2.0-85169574220OAI: oai:DiVA.org:miun-49292DiVA, id: diva2:1796660
Conference
IS and T International Symposium on Electronic Imaging Science and Technology
Available from: 2023-09-13 Created: 2023-09-13 Last updated: 2023-09-13Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Brunnström, Kjell

Search in DiVA

By author/editor
Brunnström, Kjell
By organisation
Department of Computer and Electrical Engineering (2023-)
Sport and Fitness Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 122 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf