Paper
18 December 2003 Subjective quality assessment and the effect of context in expert and nonexpert viewers
Filippo Speranza, Taali Martin, Ron Renaud
Author Affiliations +
Proceedings Volume 5294, Image Quality and System Performance; (2003) https://doi.org/10.1117/12.526101
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
The perceived quality of video sequences is generally measured using standard subjective methods. It has been argued that these methods, which typically consist of scaling judgment tasks, are affected by context effects. Context effects are observed when the perceived quality of a video sequence is influenced by the perceived quality of the other video sequences included in the test. Several studies have confirmed the presence of context effects. However, the same studies are ambiguous with respect to the issue of which methods are affected the most. In addition, context effects have been investigated mainly with non-expert viewers. In this study, we investigated context effects in both expert and non-expert viewers. Two experiments were conducted to investigate the relationships between context effects, level of expertise, and type of subjective method. In Experiment 1, we measured range and frequency context effects for two different subjective assessment methods, a double stimulus method (i.e., DSCQS) and a comparison scaling method, using non-expert viewers. We found no frequency context effect with both methods, and a marginal range context effect with the DSCQS method. In Experiment 2, we obtained the same measurements with expert viewers. We found no context frequency effect for both subjective methods, and a very small range context effect for the comparison method only.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Filippo Speranza, Taali Martin, and Ron Renaud "Subjective quality assessment and the effect of context in expert and nonexpert viewers", Proc. SPIE 5294, Image Quality and System Performance, (18 December 2003); https://doi.org/10.1117/12.526101
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Cited by 4 scholarly publications.
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KEYWORDS
Video

Image quality

Image quality standards

Quality testing methods

Scanning electron microscopy

Standards development

Color vision

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