Compensating for Type-I errors in video quality assessment
Quality of Multimedia Experience（2015）
摘要
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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关键词
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,Bonferroni,Student T-test,Type-I error,statistical significance,video quality
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