Modelling visual saliency using degree centrality

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Modelling visual saliency using degree centrality

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© The Institution of Engineering and Technology
Published

Visual attention is an indispensable component of complex vision tasks. A multi-scale, complex network-based approach for determining visual saliency is described. It uses degree centrality (conceptually and computationally the simplest among all the centrality measures) over a network of image regions to form a saliency map. The regions used in the network are multiscale in nature with scale selected automatically. Experimental evaluation establishes the superiority of the method over existing saliency methods, even in noisy environments.

Inspec keywords: computer vision

Other keywords: visual saliency modelling; complex vision tasks; complex network-based approach; degree centrality; visual attention

Subjects: Computer vision and image processing techniques; Optical, image and video signal processing

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