Real-time visual saliency by division of Gaussians

Show simple item record Katramados, Ioannis - Breckon, Toby P. - 2012-09-24T23:02:28Z 2012-09-24T23:02:28Z 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 -
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 -

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