miun.sePublications
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
Balancing type I errors and statistical power in video quality assessment
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. Acreo Swedish ICT AB, Kista.ORCID iD: 0000-0001-5060-9402
University of Nantes, Nantes, France.
2017 (English)In: IS and T International Symposium on Electronic Imaging Science and Technology, Society for Imaging Science and Technology , 2017, Vol. F130042, p. 91-96Conference paper, Published paper (Refereed)
Abstract [en]

This paper analyzes how an experimenter can balance errors in subjective video quality tests between the statistical power of finding an effect if it is there and not claiming that an effect is there if the effect it is not there i.e. balancing Type I and Type II errors. The risk of committing Type I errors increases with the number of comparisons that are performed in statistical tests. We will show that when controlling for this and at the same time keeping the power of the experiment at a reasonably high level, it will require more test subjects than are normally used and recommended by international standardization bodies like the ITU. Examples will also be given for the influence of Type I error on the statistical significance of comparing objective metrics by correlation.

Place, publisher, year, edition, pages
Society for Imaging Science and Technology , 2017. Vol. F130042, p. 91-96
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:miun:diva-32869DOI: 10.2352/ISSN.2470-1173.2017.14.HVEI-122Scopus ID: 2-s2.0-85041524573OAI: oai:DiVA.org:miun-32869DiVA, id: diva2:1184751
Conference
Human Vision and Electronic Imaging 2017, HVEI 2017, San Francisco, USA, 29 January 2017 through 2 February 2017
Available from: 2018-02-22 Created: 2018-02-22 Last updated: 2018-02-22Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Brunnström, Kjell

Search in DiVA

By author/editor
Brunnström, Kjell
By organisation
Department of Information Systems and Technology
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 22 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