@inproceedings { , title = {A low complexity visual saliency model based on in-focus regions and centre sensitivity.}, abstract = {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.}, conference = {4th IEEE international conference on consumer electronics (ICCE-Berlin 2014)}, doi = {10.1109/ICCE-Berlin.2014.7034250}, isbn = {9781479961665}, note = {COMPLETED -- Info via contact 29/8/2017 LM ADDITIONAL INFORMATION: Chilukamari, Jayachandra -- Panel B}, pages = {411-414}, publicationstatus = {Published}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, url = {http://hdl.handle.net/10059/2479}, keyword = {Visual saliency, Visual attention models, Saliency detection}, year = {2015}, author = {Chilukamari, Jayachandra and Kannangara, Sampath and Maxwell, Grant} }