Exploiting Surroundedness for Saliency Detection: A Boolean Map Approach

We demonstrate the usefulness of surroundedness for eye fixation prediction by proposing a Boolean Map based Saliency model (BMS). In our formulation, an image is characterized by a set of binary images, which are generated by randomly thresholding the image's feature maps in a whitened feature...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 38; H. 5; S. 889 - 902
Hauptverfasser:	Jianming Zhang, Sclaroff, Stan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.05.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Boolean map Computational modeling eye fixation prediction Image color analysis Machine intelligence minimum barrier distance Pattern recognition Predictive models Saliency detection Transforms Visualization Boolean map minimum barrier distance eye fixation prediction Saliency detection
ISSN:	0162-8828, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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