Cite This Publication

Michael H. Brill et al.

Abstract: Video quality metrics (VQMs) have often been evaluated and compared using simple measures of correlation to subjective mean opinion scores from panels of observers. However, this approach does not fully take into account the variability implicit in the observers. We present techniques for determining the statistical resolving power of a VQM, defined as the minimum change in the value of the metric for which subjective test scores show a significant change. Resolving power is taken as a measure of accuracy. These techniques have been applied to the video quality experts group (VQEG) data set and incorporated into the recent Alliance for Telecommunications Industry Solutions (ATIS) Committee T1A1 series of technical reports (TRs), which provide a comprehensive framework for characterizing and validating full-reference VQM. These approved TRs, while not standards, will enable the US telecommunications industry to incorporate VQMs into contracts and tariffs for compressed video distribution. New methods for assessing VQM accuracy and cross-calibrating VQMs are an integral part of the framework. These methods have been applied to two VQMs at this point: peak-signal-to-noise ratio and the version of Sarnoff's just noticeable difference metric (JNDmetrix®) tested by VQEG (Rapporteur Q11/12 (VQEG): Final report from the VQEG on the validation of objective models of video quality assessment, June 2000). The framework is readily extensible to additional VQMs.

Keywords: standards; telecommunication; video quality; Video Quality Experts Group (VQEG); Quality metrics

For technical information concerning this report, contact:

Margaret H. Pinson
Institute for Telecommunication Sciences
(303) 497-3579
mpinson@ntia.doc.gov

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For questions or information on this or any other NTIA scientific publication, contact the ITS Publications Office at ITSinfo@ntia.gov or 303-497-3572.

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