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

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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