A low complexity visual saliency model based on in-focus regions and centre sensitivity.
Maxwell, Grant M.
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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 - Berlin (ICCE-Berlin 2014), 7-10 September 2014, Berlin, Germany. New York: IEEE [online], pages 411-414. Available from: https://doi.org/10.1109/ICCE-Berlin.2014.7034250
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.