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 |
- |