Paper
22 November 1999 Spatial-temporal distortion metric for in-service quality monitoring of any digital video system
Stephen Wolf, Margaret H. Pinson
Author Affiliations +
Proceedings Volume 3845, Multimedia Systems and Applications II; (1999) https://doi.org/10.1117/12.371210
Event: Photonics East '99, 1999, Boston, MA, United States
Abstract
Many organizations have focused on developing digital video quality metrics which produce results that accurately emulate subjective responses. However, to be widely applicable a metric must also work over a wide range of quality, and be useful for in-service quality monitoring. The Institute for Telecommunication Sciences (ITS) has developed spatial-temporal distortion metrics that meet all of these requirements. These objective metrics are described in detail and have a number of interesting properties, including utilization of (1) spatial activity filters which emphasize long edges on the order of 10 arc min while simultaneously performing large amounts of noise suppression, (2) the angular direction of the spatial gradient, (3) spatial-temporal compression factors of at least 384:1 (spatial compression of at least 64:1 and temporal compression of at least 6:1, and 4) simple perceptibility thresholds and spatial-temporal masking functions. Results are presented that compare the objective metric values with mean opinion scores from a wide range of subjective data bases spanning many different scenes, systems, bit-rates, and applications.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen Wolf and Margaret H. Pinson "Spatial-temporal distortion metric for in-service quality monitoring of any digital video system", Proc. SPIE 3845, Multimedia Systems and Applications II, (22 November 1999); https://doi.org/10.1117/12.371210
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Cited by 172 scholarly publications.
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KEYWORDS
Video

Video compression

Distortion

Semantic video

Bandpass filters

Feature extraction

Video processing

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