Search results for " Fixation maps"

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Exploiting Visual Saliency Algorithms for Object-Based Attention: A New Color and Scale-Based Approach

2017

Visual Saliency aims to detect the most important regions of an image from a perceptual point of view. More in detail, the goal of Visual Saliency is to build a Saliency Map revealing the salient subset of a given image by analyzing bottom-up and top-down factors of Visual Attention. In this paper we proposed a new method for Saliency detection based on colour and scale analysis, extending our previous work based on SIFT spatial density inspection. We conducted several experiments to study the relationships between saliency methods and the object attention processes and we collected experimental data by tracking the eye movements of thirty viewers in the first three seconds of observation o…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industrymedia_common.quotation_subject05 social sciencesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONEye movementExperimental dataScale-invariant feature transformVisual saliency Object-based attention SIFT Fixation maps Dataset Eye trackingPattern recognition02 engineering and technology050105 experimental psychologySalientPerceptionFixation (visual)0202 electrical engineering electronic engineering information engineeringEye tracking020201 artificial intelligence & image processing0501 psychology and cognitive sciencesComputer visionArtificial intelligencebusinessObject-based attentionmedia_common
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