Measuring preferences for moving video quality is harder than for static images due to
the fleeting and variable nature of moving video. Subjective preferences for image
quality can be tested by observers indicating their preference for one image over another.
Such pairwise comparisons can be analyzed using Thurstone scaling (Farrell, 1999).
Thurstone (1927) scaling is widely used in applied psychology, marketing, food tasting
and advertising research. Thurstone analysis constructs an arbitrary perceptual scale for
the items that are compared (e.g. enhancement levels). However, Thurstone scaling does
not determine the statistical significance of the differences between items on that
perceptual scale. Recent papers have provided inferential statistical methods that produce
an outcome similar to Thurstone scaling (Lipovetsky and Conklin, 2004). Here, we
demonstrate that binary logistic regression can analyze preferences for enhanced video.
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