Structural Saliency: The Detection of Globally Salient Structures Using a Locally Connected Network

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6493

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DC Field	Value	Language
dc.creator	Ullman, Shimon	-
dc.creator	Sha'ashua, Amnon	-
dc.date	2004-10-04T15:12:55Z	-
dc.date	2004-10-04T15:12:55Z	-
dc.date	1988-07-01	-
dc.date.accessioned	2013-10-09T02:45:46Z	-
dc.date.available	2013-10-09T02:45:46Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-1061	-
dc.identifier	http://hdl.handle.net/1721.1/6493	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	Certain salient structures in images attract our immediate attention without requiring a systematic scan. We present a method for computing saliency by a simple iterative scheme, using a uniform network of locally connected processing elements. The network uses an optimization approach to produce a "saliency map," a representation of the image emphasizing salient locations. The main properties of the network are: (i) the computations are simple and local, (ii) globally salient structures emerge with a small number of iterations, and (iii) as a by-product of the computations, contours are smoothed and gaps are filled in.	-
dc.format	2792059 bytes	-
dc.format	1101302 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-1061	-
dc.title	Structural Saliency: The Detection of Globally Salient Structures Using a Locally Connected Network	-
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