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
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.