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Visual Attention in Quality Assessment
Responsible organisation
2011 (English)In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 28, no 6, 50-59 p.Article in journal (Refereed) Published
Abstract [en]

Perceptual quality metrics are widely deployed in image and video processing systems. These metrics aim to emulate the integral mechanisms of the human visual system (HVS) to correlate well with visual perception of quality. One integral property of the HVS is, however, often neglected: visual attention (VA) [1]. The essential mechanisms associated with VA consist mainly of higher cognitive processing, deployed to reduce the complexity of scene analysis. For this purpose, a subset of the visual information is selected by shifting the focus of attention across the visual scene to the most relevant objects. By neglecting VA, perceptual quality models inherently assume that all objects draw the attention of the viewer to the same degree.

Place, publisher, year, edition, pages
IEEE , 2011. Vol. 28, no 6, 50-59 p.
Keyword [en]
Computational modeling , Image processing , Measurement , Quality assessment , Visualization
National Category
Telecommunications Signal Processing
Identifiers
URN: urn:nbn:se:bth-7438DOI: 10.1109/MSP.2011.942473ISI: 000296466100007Local ID: oai:bth.se:forskinfo87CB513CB3F5D996C1257943000B0F45OAI: oai:DiVA.org:bth-7438DiVA: diva2:835054
Available from: 2012-09-18 Created: 2011-11-09 Last updated: 2015-06-30Bibliographically approved

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Zepernick, Hans-Jürgen
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