From pairwise comparisons and rating to a unified quality scale
Authors: Perez-Ortiz, M., Mikhailiuk, A., Zerman, E., Hulusic, V., Valenzise, G. and Mantiuk, R.K.
Journal: IEEE Transactions on Image Processing
Volume: 29
Pages: 1139-1151
eISSN: 1941-0042
ISSN: 1057-7149
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 real-world 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.
https://eprints.bournemouth.ac.uk/32690/
Source: Scopus
From pairwise comparisons and rating to a unified quality scale.
Authors: Perez-Ortiz, M., Mikhailiuk, A., Zerman, E., Hulusic, V., Valenzise, G. and Mantiuk, R.K.
Journal: IEEE Trans Image Process
eISSN: 1941-0042
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 real-world 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.
https://eprints.bournemouth.ac.uk/32690/
Source: PubMed
From Pairwise Comparisons and Rating to a Unified Quality Scale
Authors: Perez-Ortiz, M., Mikhailiuk, A., Zerman, E., Hulusic, V., Valenzise, G. and Mantiuk, R.K.
Journal: IEEE TRANSACTIONS ON IMAGE PROCESSING
Volume: 29
Pages: 1139-1151
eISSN: 1941-0042
ISSN: 1057-7149
DOI: 10.1109/TIP.2019.2936103
https://eprints.bournemouth.ac.uk/32690/
Source: Web of Science (Lite)
From pairwise comparisons and rating to a unified quality scale
Authors: Perez-Ortiz, M., Mikhailiuk, A., Zerman, E., Hulusic, V., Valenzise, G. and Mantiuk, R.
Journal: IEEE Transactions on Image Processing
Publisher: IEEE
ISSN: 1057-7149
https://eprints.bournemouth.ac.uk/32690/
Source: Manual
From pairwise comparisons and rating to a unified quality scale.
Authors: Perez-Ortiz, M., Mikhailiuk, A., Zerman, E., Hulusic, V., Valenzise, G. and Mantiuk, R.K.
Journal: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
eISSN: 1941-0042
ISSN: 1057-7149
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 real-world 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.
https://eprints.bournemouth.ac.uk/32690/
Source: Europe PubMed Central
From pairwise comparisons and rating to a unified quality scale
Authors: Perez-Ortiz, M., Mikhailiuk, A., Zerman, E., Hulusic, V., Valenzise, G. and Mantiuk, R.
Journal: IEEE Transactions on Image Processing
Volume: 29
Pages: 1139-1151
ISSN: 1057-7149
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.
https://eprints.bournemouth.ac.uk/32690/
Source: BURO EPrints