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Visual Attention Modelling for Subjective Image Quality Databases
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2009 (English)Conference paper (Refereed) Published
Abstract [en]

The modelling of perceptual image quality metrics has experienced increased effort in recent years. In order to allow for model design, validation, and comparison, a number of subjective image quality databases has been made available to the research community. Most metrics that were designed using these databases assess the quality uniformly over the whole image, not taking into account stronger attention to salient regions of an image. In order to facilitate incorporation of visual attention (VA) into objective metric design we have conducted an eye tracking experiment. The experiment and its outcomes will be explained in detail in this paper. The actual gaze data recorded in the experiment is publicly available in order to facilitate and encourage VA modelling for image quality metrics.

Place, publisher, year, edition, pages
Rio de Janeiro: IEEE , 2009.
Keyword [en]
Visual attention, eye tracking, subjective experiment.
National Category
Human Aspects of ICT Signal Processing
URN: urn:nbn:se:bth-7927DOI: 10.1109/MMSP.2009.5293248ISI: 000274991300005Local ID: 978-1-4244-4463-2 OAI: diva2:835602
International Workshop on Multimedia Signal Processing
Available from: 2012-09-18 Created: 2009-12-08 Last updated: 2015-06-30Bibliographically approved

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Zepernick, Hans-Jürgen
Human Aspects of ICTSignal Processing

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