Real-time visual saliency by division of Gaussians

Katramados, Ioannis; Breckon, Toby P.

dc.contributor.author	Katramados, Ioannis	-
dc.contributor.author	Breckon, Toby P.	-
dc.date.accessioned	2012-09-24T23:02:28Z
dc.date.available	2012-09-24T23:02:28Z
dc.date.issued	2011-09-14T00:00:00Z	-
dc.identifier.citation	Ioannis Katramados and Toby Breckon. Real-time visual saliency by division of Gaussians Proceedings of the 18th IEEE International Conference on Image Processing 2011, Brussels, Belgium, 11-14 September 2011, Pages 1701-1704
dc.identifier.isbn	9781457713040	-
dc.identifier.uri	http://dx.doi.org/10.1109/ICIP.2011.6115785	-
dc.identifier.uri	http://dspace.lib.cranfield.ac.uk/handle/1826/7590
dc.description.abstract	This paper introduces a novel method for deriving visual saliency maps in real- time without compromising the quality of the output. This is achieved by replacing the computationally expensive centre-surround filters with a simpler mathematical model named Division of Gaussians (DIVoG). The results are compared to five other approaches, demonstrating at least six times faster execution than the current state-of-the-art whilst maintaining high detection accuracy. Given the multitude of computer vision applications that make use of visual saliency algorithms such a reduction in computational complexity is essential for improving their real-time performance.	en_UK
dc.subject	salient, saliency, DoG	en_UK
dc.title	Real-time visual saliency by division of Gaussians	en_UK
dc.type	Conference paper	-