Title :
Modelling visual saliency using degree centrality
Author :
Pal, Ravindra ; Mukherjee, Arjun ; MITRA, PINAKI ; Mukherjee, Jayanta
Author_Institution :
Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Kharagpur, India
fDate :
9/1/2010 12:00:00 AM
Abstract :
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.
Keywords :
computer vision; complex network-based approach; complex vision tasks; degree centrality; visual attention; visual saliency modelling;
Journal_Title :
Computer Vision, IET
DOI :
10.1049/iet-cvi.2009.0067