Title :
Compensating for Type-I errors in video quality assessment
Author :
Brunnstrom, Kjell ; Tavakoli, Samira ; Sogaard, Jacob
Author_Institution :
Acreo Swedish ICT AB, Kista, Sweden
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.
Keywords :
correlation methods; error compensation; quality of experience; statistical analysis; video signal processing; ANOVA; QoE; analysis of variance; correlation method; quality of experience; statistical test; type-I error compensation; video quality assessment; Correlation; Measurement; Probability; Quality assessment; Standards; Statistical analysis; Video recording; Bonferroni; Student T-test; Type-I error; statistical significance; video quality;
Conference_Titel :
Quality of Multimedia Experience (QoMEX), 2015 Seventh International Workshop on
Conference_Location :
Pylos-Nestoras
DOI :
10.1109/QoMEX.2015.7148080
