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.
|Start Date||Sep 7, 2014|
|Publication Date||Feb 9, 2015|
|Publisher||Institute of Electrical and Electronics Engineers|
|Institution Citation||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|
|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