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Proceedings Paper

Statistical analysis of subjective preferences for video enhancement
Author(s): Russell L. Woods; PremNandhini Satgunam; P. Matthew Bronstad; Eli Peli
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Paper Abstract

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.

Paper Details

Date Published: 18 February 2010
PDF: 10 pages
Proc. SPIE 7527, Human Vision and Electronic Imaging XV, 75270E (18 February 2010); doi: 10.1117/12.843858
Show Author Affiliations
Russell L. Woods, Schepens Eye Research Institute (United States)
PremNandhini Satgunam, Schepens Eye Research Institute (United States)
P. Matthew Bronstad, Schepens Eye Research Institute (United States)
Eli Peli, Schepens Eye Research Institute (United States)


Published in SPIE Proceedings Vol. 7527:
Human Vision and Electronic Imaging XV
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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