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Compensating for Type-I Errors in Video Quality Assessment

Authors
  • Brunnström, Kjell
  • Tavakoli, Samira
  • Søgaard, Jacob
Publication Date
Jan 01, 2015
Source
Online Research Database In Technology
Keywords
Language
English
License
Unknown
External links

Abstract

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.

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