Compensating for Type-I Errors in Video Quality Assessment

Kjell Brunnström, Samira Tavakoli, Jacob Søgaard

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


This paper analyzes the impact on compensating for Type-I errors in video quality assessment. A Type-I error is to incorrectly conclude that there is an effect. The risk increases with the number of comparisons that are performed in statistical tests. Type-I errors are an issue often neglected in Quality of Experience and video quality assessment analysis. Examples are given for the analysis of subjective experiments and the evaluation of objective metrics by correlation.
Original languageEnglish
Title of host publicationProceedings of IEEE QoMEX 2015.
Number of pages2
Publication date2015
Publication statusPublished - 2015
Event7th International Workshop on Quality of Multimedia Experience - Costa Navarino, Messinia, Greece
Duration: 26 May 201529 May 2015


Conference7th International Workshop on Quality of Multimedia Experience
CityCosta Navarino, Messinia


  • Type-I error
  • Video quality
  • Statistical significance
  • Student T-test
  • Bonferroni


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