Generating customised experimental stimuli for visual search using Genetic Algorithms shows evidence for a continuum of search efficiency Export

@article{citeulike:4509011, abstract = {Here we present a new empirically validated computational paradigm that generates on demand stimuli with user-defined levels of salience for use in visual search tasks. Combining a Genetic Algorithm with a biologically motivated model for image saliency we are able to breed a range of customised texture elements for use in psychophysical experiments. We review these psychophysical studies, showing for the first time that an explicit and predictable continuum of search efficiency exists in human visual search.}, author = {Verma, Milan and Mcowan, Peter W.}, citeulike-article-id = {4509011}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.visres.2008.11.006}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0042698908005695}, doi = {10.1016/j.visres.2008.11.006}, issn = {00426989}, journal = {Vision Research}, keywords = {evolution, ga, saliency, vision, visual\_search}, month = {February}, number = {3}, pages = {374--382}, posted-at = {2009-05-13 01:12:10}, priority = {2}, title = {Generating customised experimental stimuli for visual search using Genetic Algorithms shows evidence for a continuum of search efficiency}, url = {http://dx.doi.org/10.1016/j.visres.2008.11.006}, volume = {49}, year = {2009} }

TY - JOUR ID - citeulike:4509011 L3 - citeulike-article-id:4509011 N2 - Here we present a new empirically validated computational paradigm that generates on demand stimuli with user-defined levels of salience for use in visual search tasks. Combining a Genetic Algorithm with a biologically motivated model for image saliency we are able to breed a range of customised texture elements for use in psychophysical experiments. We review these psychophysical studies, showing for the first time that an explicit and predictable continuum of search efficiency exists in human visual search. IS - 3 JF - Vision Research SN - 00426989 EP - 382 TI - Generating customised experimental stimuli for visual search using Genetic Algorithms shows evidence for a continuum of search efficiency VL - 49 SP - 374 KW - evolution KW - ga KW - saliency KW - vision KW - visual_search AU - Verma, Milan AU - Mcowan, Peter PY - 2009/02// UR - http://dx.doi.org/10.1016/j.visres.2008.11.006 ER -