Real-time visual saliency by division of Gaussians
| 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.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.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.subject | salient, saliency, DoG | en_UK |
| dc.title | Real-time visual saliency by division of Gaussians | en_UK |
| dc.type | Conference paper | - |