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

Author(s)
Ullman, Shimon; Sha'ashua, Amnon
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Abstract
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.
Date issued
1988-07-01
URI
http://hdl.handle.net/1721.1/6493
Other identifiers
AIM-1061
Series/Report no.
AIM-1061

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  • AI Memos (1959 - 2004)

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