NDLI: Cognitive Processes in Eye Guidance: Algorithms for Attention in Image Processing

Content Provider	Springer Nature Link
Author	Underwood, Geoffrey
Copyright Year	2009
Abstract	When inspecting an image for the first time, how does the viewer decide where to look next? The saliency map hypothesis proposes that viewers initially analyse the image for variations in low-level visual features including intensity, colour, and edge orientation, and that their eyes are guided towards the most salient region. The saliency of objects in scenes may provide an explanation of why some experiments find that incongruent objects attract attention whilst other studies do not find this effect. Experiments that have monitored eye movements during scene inspection have found some support for the saliency map hypothesis, particularly when pictures are inspected in anticipation of a memory test. Under some circumstances the hypothesis fails to account for inspection patterns. When scenes are inspected to check the presence or absence of a named object, or when two images are compared to determine whether they are identical, or when the viewer has specialised domain knowledge of the scene depicted, then saliency has little influence. This paper evaluates the saliency map hypothesis of scene perception using evidence of eye movements made when images are first inspected, and concludes that visual saliency can be used by viewers, but that its use is both task-dependent and knowledge-dependent.
Starting Page	64
Ending Page	76
Page Count	13
File Format	PDF
ISSN	18669956
Journal	Cognitive Computation
Volume Number	1
Issue Number	1
e-ISSN	18669964
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-01-16
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Attention Scene perception Saliency map models Eye movements Fixation scanpaths Computational Biology/Bioinformatics Artificial Intelligence (incl. Robotics) Computation by Abstract Devices Neurosciences
Content Type	Text
Resource Type	Article
Subject	Cognitive Neuroscience Computer Science Applications Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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