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Balancing type I errors and statistical power in video quality assessment
RISE - Research Institutes of Sweden, ICT, Acreo.ORCID iD: 0000-0001-5060-9402
2017 (English)In: IS and T International Symposium on Electronic Imaging Science and Technology, 2017, 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
2017. p. 91-96
Keywords [en]
International standardization, Objective metrics, Statistical power, Statistical significance, Subjective video quality, Time keeping, Type I and type II errors, Video quality assessment, Errors
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-35363DOI: 10.2352/ISSN.2470-1173.2017.14.HVEI-122Scopus ID: 2-s2.0-85041524573OAI: oai:DiVA.org:ri-35363DiVA, id: diva2:1258007
Conference
Human Vision and Electronic Imaging 2017, HVEI 2017, 29 January 2017 through 2 February 2017
Available from: 2018-10-23 Created: 2018-10-23 Last updated: 2018-10-23Bibliographically approved

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Brunnström, Kjell

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  • Other locale
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Output format
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