A low complexity visual saliency model based on in-focus regions and centre sensitivity.
Chilukamari, Jayachandra; Kannangara, Sampath; Maxwell, Grant
A novel low-complexity visual saliency detection algorithm for detecting salient regions in images is proposed. The algorithm derives salient regions based on in-focus regions and image centre sensitivity. The performance of the algorithm in predicting human eye fixations is validated against ten state-of-the-art algorithms using a public image dataset. The results demonstrate that the proposed algorithm achieves higher prediction accuracy in saliency detection at significantly lower computational complexity compared to other algorithms.
CHILUKAMARI, J., KANNANGARA, S. and MAXWELL, G. 2014. A low complexity visual saliency model based on in-focus regions and centre sensitivity. In Proceedings of the 4th IEEE international conference on consumer electronics (ICCE-Berlin 2014), 7-10 September 2014, Berlin, Germany. New York: IEEE [online], article number 7034250, pages 411-414. Available from: https://doi.org/10.1109/ICCE-Berlin.2014.7034250
|Conference Name||4th IEEE international conference on consumer electronics (ICCE-Berlin 2014)|
|Conference Location||Berlin, Germany|
|Start Date||Sep 7, 2014|
|End Date||Sep 10, 2014|
|Acceptance Date||May 22, 2014|
|Online Publication Date||Sep 7, 2014|
|Publication Date||Feb 9, 2015|
|Deposit Date||Aug 29, 2017|
|Publicly Available Date||Aug 29, 2017|
|Publisher||Institute of Electrical and Electronics Engineers|
|Keywords||Visual saliency; Visual attention models; Saliency detection|
|Related Public URLs||http://hdl.handle.net/10059/2443 ; http://hdl.handle.net/10059/2477 ; http://hdl.handle.net/10059/2478 ; http://hdl.handle.net/10059/2481|
CHILUKAMARI 2014 A low complexity visual saliency
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