Visual causes versus correlates of attentional selection in dynamic scenes Export

@article{citeulike:1270732, abstract = {What are the visual causes, rather than mere correlates, of attentional selection and how do they compare to each other during natural vision? To address these questions, we first strung together semantically unrelated dynamic scenes into MTV-style video clips, and performed eye tracking experiments with human observers. We then quantified predictions of saccade target selection based on seven bottom-up models, including intensity variance, orientation contrast, intensity contrast, color contrast, flicker contrast, motion contrast, and integrated saliency. On average, all tested models predicted saccade target selection well above chance. Dynamic models were particularly predictive of saccades that were most likely bottom-up driven-initiated shortly after scene onsets, leading to maximal inter-observer similarity. Static models showed mixed results in these circumstances, with intensity variance and orientation contrast featuring particularly weak prediction accuracy (lower than their own average, and approximately 4 times lower than dynamic models). These results indicate that dynamic visual cues play a dominant causal role in attracting attention. In comparison, some static visual cues play a weaker causal role, while other static cues are not causal at all, and may instead reflect top-down causes.}, author = {Carmi, Ran and Itti, Laurent}, citeulike-article-id = {1270732}, citeulike-linkout-0 = {http://www.sciencedirect.com/science/article/B6T0W-4M4TNJ1-2/2/2a4f8e772f046d1d0eb9ea90e57eeaf1}, journal = {Vision Research}, keywords = {attention, color, contrast, fixation, saccades, scene}, month = {December}, number = {26}, pages = {4333--4345}, posted-at = {2007-05-01 23:37:49}, priority = {4}, title = {Visual causes versus correlates of attentional selection in dynamic scenes}, url = {http://www.sciencedirect.com/science/article/B6T0W-4M4TNJ1-2/2/2a4f8e772f046d1d0eb9ea90e57eeaf1}, volume = {46}, year = {2006} }

TY - JOUR ID - citeulike:1270732 L3 - citeulike-article-id:1270732 N2 - What are the visual causes, rather than mere correlates, of attentional selection and how do they compare to each other during natural vision? To address these questions, we first strung together semantically unrelated dynamic scenes into MTV-style video clips, and performed eye tracking experiments with human observers. We then quantified predictions of saccade target selection based on seven bottom-up models, including intensity variance, orientation contrast, intensity contrast, color contrast, flicker contrast, motion contrast, and integrated saliency. On average, all tested models predicted saccade target selection well above chance. Dynamic models were particularly predictive of saccades that were most likely bottom-up driven-initiated shortly after scene onsets, leading to maximal inter-observer similarity. Static models showed mixed results in these circumstances, with intensity variance and orientation contrast featuring particularly weak prediction accuracy (lower than their own average, and approximately 4 times lower than dynamic models). These results indicate that dynamic visual cues play a dominant causal role in attracting attention. In comparison, some static visual cues play a weaker causal role, while other static cues are not causal at all, and may instead reflect top-down causes. IS - 26 JF - Vision Research EP - 4345 TI - Visual causes versus correlates of attentional selection in dynamic scenes VL - 46 SP - 4333 KW - attention KW - color KW - contrast KW - fixation KW - saccades KW - scene AU - Carmi, Ran AU - Itti, Laurent PY - 2006/12// UR - http://www.sciencedirect.com/science/article/B6T0W-4M4TNJ1-2/2/2a4f8e772f046d1d0eb9ea90e57eeaf1 ER -