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Proceedings Paper

Toward developing a unit of measure and scale of digital video quality: IEEE Broadcast Technology Society Subcomittee on Video Compression Measurements
Author(s): John M. Libert; Leon Stanger; Andrew B. Watson; Ann Marie Rohaly
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Paper Abstract

Development of video quality metrics has taken support from experimental vision data mainly at two levels of abstraction. On the one hand are the carefully controlled tests of human visual response to well-defined, controlled visual stimuli, such as the ModelFest study. On the other hand are experiments in which viewers rate the global quality of 'natural' video sequences exhibiting impairments of loosely-controlled composition and amplitude, as in the Video Quality Experts Group study. The IEEE Broadcast Technology Society Subcommittee on Video Compression Measurements has initiated an intermediate level approach to video quality assessment aimed toward developing a scale of video impairment and unit of measure by which to describe video distortion in both perceptual and engineering terms. The proposed IEEE study will attempt to define a scale of video impairment in terms of multiple measurements of the just-noticeable-difference (JND) of compression-induced video impairments. A paired comparison psychophysical method will be used to define a psychometric function of the visual sensitivity to compression-induced video impairments of various amplitudes. In this effort, quality assessment is related directly to visual perception of video impairments rather than to the more 'atomic' visual stimuli as used in many human vision experiments. Yet the experimenter's control over the stimuli is greater than that used in much of contemporary video quality testing.

Paper Details

Date Published: 2 June 2000
PDF: 6 pages
Proc. SPIE 3959, Human Vision and Electronic Imaging V, (2 June 2000); doi: 10.1117/12.387152
Show Author Affiliations
John M. Libert, National Institute of Standards and Technology (United States)
Leon Stanger, DirecTV (United States)
Andrew B. Watson, NASA Ames Research Ctr. (United States)
Ann Marie Rohaly, Tektronix, Inc. (United States)

Published in SPIE Proceedings Vol. 3959:
Human Vision and Electronic Imaging V
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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