Work

Structural Saliency: The Detection Of Globally Salient Structures using A Locally Connected Network

Year: 2005

Type: conference-paper

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.

Source: IEEE/CVF International Conference on Computer Vision (ICCV)

DOI: 10.1109/ccv.1988.590008

Authors: A. Sha'asua, S. Ullman

Institution: Weizmann Institute of Science

Language: English

Topic: Visual Attention and Saliency Detection

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2129104643

FWCI: 26.86

Cites: 17

Cited by: 535

Related to: 10