Image quality and visual attention interactions : towards a more reliable analysis in the saliency space

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    Abstract

    Understanding bottom-up and top-down visual attention mechanisms related to visual quality perception can be greatly beneficial for the design of effective objective quality metrics. Subjective studies based on eye-movement tracking have been recently published that try to get more insight in these interactions. However, it is still not easy to find coherence across their results, also due to the different methodologies adopted to analyze eye-tracking data. In this paper we propose a robust methodology to measure differences between eye-tracking data collected under different experimental conditions. The proposed method takes into account inter-observer variability and content effects, producing results that give an accurate insight in attention variations.
    Original languageEnglish
    Title of host publication2011 Third International Workshop on Quality of Multimedia Experience (QoMEX), 7-9 September 2011, Mechelen
    Place of PublicationMechelen
    Pages201-206
    DOIs
    Publication statusPublished - 2011

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