Paper
9 February 2006 Predicting subjective video quality from separated spatial and temporal assessment
Ricardo R. Pastrana-Vidal, Jean C. Gicquel, Jean L. Blin, Hocine Cherifi
Author Affiliations +
Proceedings Volume 6057, Human Vision and Electronic Imaging XI; 60570S (2006) https://doi.org/10.1117/12.642952
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
Abstract
During real time video communications over packet networks, various degradations can occur on spatial or temporal signal axes. The end-user may perceive loss of image clearness-sharpness and fluidity impairments on visual information. The overall perceived degradation may indeed be seen as a combined contribution of both perceptual axes. A significant perceptual interaction between spatial and temporal quality has been highlighted by a set of subjective quality assessment tests. We show that, at least in our experimental conditions, the overall visual quality can be estimated from independent spatial (clearness-sharpness) and temporal (fluidity) quality assessments. Four visual quality prediction models are presented. The models' predictions show significant correlation with mean opinion scores from a group of observers. The model showing the highest performance takes into account non linear human assessment characteristics. Our results lead to a better understanding of spatiotemporal interactions and they could be useful for the conception of automatic video quality metrics.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ricardo R. Pastrana-Vidal, Jean C. Gicquel, Jean L. Blin, and Hocine Cherifi "Predicting subjective video quality from separated spatial and temporal assessment", Proc. SPIE 6057, Human Vision and Electronic Imaging XI, 60570S (9 February 2006); https://doi.org/10.1117/12.642952
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Cited by 21 scholarly publications.
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KEYWORDS
Video

Molybdenum

Visualization

Information visualization

Signal attenuation

Motion models

Video coding

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