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From pairwise comparisons and rating to a unified quality scale.

Perez-Ortiz, M., Mikhailiuk, A., Zerman, E., Hulusic, V., Valenzise, G. and Mantiuk, R., 2019. From pairwise comparisons and rating to a unified quality scale. IEEE Transactions on Image Processing, 29, 1139-1151.

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DOI: 10.1109/TIP.2019.2936103

Abstract

The goal of psychometric scaling is the quantification of perceptual experiences, understanding the relationship between an external stimulus, the internal representation and the response. In this paper, we propose a probabilistic framework to fuse the outcome of different psychophysical experimental protocols, namely rating and pairwise comparisons experiments. Such a method can be used for merging existing datasets of subjective nature and for experiments in which both measurements are collected. We analyze and compare the outcomes of both types of experimental protocols in terms of time and accuracy in a set of simulations and experiments with benchmark and realworld image quality assessment datasets, showing the necessity of scaling and the advantages of each protocol and mixing. Although most of our examples focus on image quality assessment, our findings generalize to any other subjective quality-of-experience task.

Item Type:Article
ISSN:1057-7149
Uncontrolled Keywords:Psychometric scaling, pairwise comparisons, rating, image and video quality assessment, dataset fusion
Group:Faculty of Science & Technology
ID Code:32690
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:02 Sep 2019 08:42
Last Modified:06 Nov 2019 11:44

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