Abstract
Subjective experimental results are widely used as the ground truth in objective Image Quality Assessment (IQA). Specifically, Pairwise Comparison method has superiority over Mean Opinion Scores (MOS), but there is a problem when measuring the consistency between subjective pairwise comparisons and objective quality predictions. In this paper, we first analyze the existing problem of current evaluation method for the consistency between the pairwise comparisons given by human subjects and the ranking results given by objective IQA algorithms. Then we propose a new direct evaluation method, Ranking Consistent Rate, to solve this problem. Moreover, through our method, we can check the self-consistency of datasets based on pairwise comparisons and evaluate the performance of an IQA algorithm more accurately.
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