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Proceedings Paper

Color preference, color naturalness, and annoyance of compressed and color scaled digital videos
Author(s): Chin Chye Koh; John M. Foley; Sanjit K. Mitra
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Paper Abstract

In this work, we studied how video compression and color scaling interact to affect the overall video quality and the color quality attributes. We examined the three subjective attributes: perceived color preference, perceived color naturalness, and overall annoyance, as digital videos were subjected to compression and chroma scaling. Our objectives were: (1) to determine how the color chroma scaling of compressed digital videos affected the mean color preference and naturalness and overall annoyance ratings across subjects and (2) to determine how preference, naturalness, and annoyance were related. Psychophysical experiments were carried out in which naïve subjects made numerical judgments of these three attributes. Preference and naturalness scores increased to a maximum and decreased as the mean chroma of the videos increased. As compression increased, both preference and naturalness scores decreased and they varied less with mean chroma. Naturalness scores tended to reach a maximum at lower mean chroma than preference scores. Annoyance scores decreased to a minimum and then increased as mean chroma increased. The mean chroma at which annoyance was minimum was less than the mean chroma at which naturalness and preference were maximum. Preference, naturalness, and annoyance scores for individual videos, were approximated relatively well by Gaussian functions of mean chroma. Preference and naturalness scores decreased linearly as a function of the logarithm of the total squared error, while annoyance scores increased as an S-shaped function of the logarithm of the total squared error. A three-parameter model is shown to provide a good description of how each attribute depends on chroma and compression for individual videos. Model parameters vary with video content.

Paper Details

Date Published: 15 February 2007
PDF: 12 pages
Proc. SPIE 6492, Human Vision and Electronic Imaging XII, 64920K (15 February 2007); doi: 10.1117/12.704810
Show Author Affiliations
Chin Chye Koh, Univ. of California/Santa Barbara (United States)
John M. Foley, Univ. of California/Santa Barbara (United States)
Sanjit K. Mitra, Univ. of California/Santa Barbara (United States)

Published in SPIE Proceedings Vol. 6492:
Human Vision and Electronic Imaging XII
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Scott J. Daly, Editor(s)

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