Inherent Importance of Early Visual Features in Attraction of Human Attention

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">Color</td><td class="align_center">Intensity</td><td class="align_center">Orientation</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Bruce</td><td class="align_center">0.2174</td><td class="align_center">0.2036</td><td class="align_center">0.5368</td></tr><tr><td class="align_left">Ehinger</td><td class="align_center">0.0742</td><td class="align_center">0.0631</td><td class="align_center">0.9110</td></tr><tr><td class="align_left">Judd</td><td class="align_center">0.3638</td><td class="align_center">0.1129</td><td class="align_center">1.0825</td></tr><tr><td class="align_left">NUSEF</td><td class="align_center">0.2736</td><td class="align_center">0.2458</td><td class="align_center">0.5967</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>GA. Weights of feature channels that were obtained by applying genetic algorithm optimization on all images.</div>

Computational Intelligence and Neuroscience

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Table 5

Table 5: Inherent Importance of Early Visual Features in Attraction of Human Attention 