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Proceedings Paper

Perceptual tools for quality-aware video networks
Author(s): A. C. Bovik
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Paper Abstract

Monitoring and controlling the quality of the viewing experience of videos transmitted over increasingly congested networks (especially wireless networks) is a pressing problem owing to rapid advances in video-centric mobile communication and display devices that are straining the capacity of the network infrastructure. New developments in automatic perceptual video quality models offer tools that have the potential to be used to perceptually optimize wireless video, leading to more efficient video data delivery and better received quality. In this talk I will review key perceptual principles that are, or could be used to create effective video quality prediction models, and leading quality prediction models that utilize these principles. The goal is to be able to monitor and perceptually optimize video networks by making them “quality-aware.”

Paper Details

Date Published: 3 February 2014
PDF: 8 pages
Proc. SPIE 9016, Image Quality and System Performance XI, 90160I (3 February 2014); doi: 10.1117/12.2046685
Show Author Affiliations
A. C. Bovik, The Univ. of Texas at Austin (United States)

Published in SPIE Proceedings Vol. 9016:
Image Quality and System Performance XI
Sophie Triantaphillidou; Mohamed-Chaker Larabi, Editor(s)

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