DocumentCode :
1295733
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
Volume :
4
Issue :
3
fYear :
2010
fDate :
9/1/2010 12:00:00 AM
Firstpage :
218
Lastpage :
229
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;
fLanguage :
English
Journal_Title :
Computer Vision, IET
Publisher :
iet
ISSN :
1751-9632
Type :
jour
DOI :
10.1049/iet-cvi.2009.0067
Filename :
5548926
Link To Document :
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