Visual search for arbitrary objects in real scenes

[1]  Alex D. Hwang,et al.  Semantic guidance of eye movements in real-world scenes , 2011, Vision Research.

[2]  Timothy F. Brady,et al.  Scene Memory Is More Detailed Than You Think : The Role of Categories in Visual Long-Term Memory , 2010 .

[3]  Jeremy M. Wolfe Bound to guide: A surprising, preattentive role for conjunctions in visual search , 2010 .

[4]  M. Castelhano,et al.  The relative contribution of scene context and target features to visual search in scenes , 2010, Attention, perception & psychophysics.

[5]  Evan M. Palmer,et al.  Reaction time distributions constrain models of visual search , 2010, Vision Research.

[6]  Gregory J Zelinsky,et al.  Exploring the Perceptual Causes of Search Set-Size Effects in Complex Scenes , 2010, Perception.

[7]  Alan L. F. Lee,et al.  A comparison of global motion perception using a multiple-aperture stimulus. , 2010, Journal of vision.

[8]  Jason A. Droll,et al.  Expected object position of two hundred fifty observers predicts first fixations of seventy seven separate observers during search , 2010 .

[9]  Why don't people use memory when repeatedly searching though an over-learned visual display? , 2010 .

[10]  Benjamin Balas,et al.  A crowded model of visual search , 2010 .

[11]  John M Henderson,et al.  The time course of initial scene processing for eye movement guidance in natural scene search. , 2010, Journal of vision.

[12]  Carrick C. Williams Not all visual memories are created equal , 2010 .

[13]  Melissa L.-H. Võ,et al.  A glimpse is not a glimpse: Differential processing of flashed scene previews leads to differential target search benefits , 2010 .

[14]  J. Wolfe,et al.  Varying Target Prevalence Reveals Two Dissociable Decision Criteria in Visual Search , 2010, Current Biology.

[15]  George L. Malcolm,et al.  The effects of target template specificity on visual search in real-world scenes: evidence from eye movements. , 2009, Journal of vision.

[16]  George L. Malcolm,et al.  Searching in the dark: Cognitive relevance drives attention in real-world scenes , 2009, Psychonomic bulletin & review.

[17]  Jason M Haberman,et al.  Averaging facial expression over time. , 2009, Journal of vision.

[18]  Gregory J. Zelinsky,et al.  Visual search is guided to categorically-defined targets , 2009, Vision Research.

[19]  Krista A. Ehinger,et al.  Modelling search for people in 900 scenes: A combined source model of eye guidance , 2009 .

[20]  Jeffery A. Jones,et al.  Feature head-start: Conjunction search following progressive feature disclosure , 2009, Vision Research.

[21]  Bernhard Schölkopf,et al.  Center-surround patterns emerge as optimal predictors for human saccade targets. , 2009, Journal of vision.

[22]  Michelle R. Greene,et al.  The Briefest of Glances: The Time Course of Natural Scene Understanding , 2009 .

[23]  J. Henderson,et al.  Does gravity matter? Effects of semantic and syntactic inconsistencies on the allocation of attention during scene perception. , 2009, Journal of vision.

[24]  Barbara Anne Dosher,et al.  Task precision at transfer determines specificity of perceptual learning. , 2009, Journal of vision.

[25]  Michelle R. Greene,et al.  Recognition of natural scenes from global properties: Seeing the forest without representing the trees , 2009, Cognitive Psychology.

[26]  J. Y. Goulermas,et al.  Multivoxel fMRI analysis of color tuning in human primary visual cortex. , 2009, Journal of vision.

[27]  A. Hollingworth Two forms of scene memory guide visual search: Memory for scene context and memory for the binding of target object to scene location , 2009 .

[28]  Hany Farid,et al.  The specificity of the search template. , 2009, Journal of vision.

[29]  G. Zelinsky A theory of eye movements during target acquisition. , 2008, Psychological review.

[30]  Aude Oliva,et al.  Visual long-term memory has a massive storage capacity for object details , 2008, Proceedings of the National Academy of Sciences.

[31]  Melina A. Kunar,et al.  The role of memory and restricted context in repeated visual search , 2008, Perception & psychophysics.

[32]  Gregory J. Zelinsky,et al.  Exploring set size effects in scenes: Identifying the objects of search , 2008 .

[33]  J. M. Wolfe,et al.  2.16 – Visual Search , 2008 .

[34]  A. Basbaum,et al.  The senses : a comprehensive reference , 2008 .

[35]  Antonio Torralba,et al.  LabelMe: A Database and Web-Based Tool for Image Annotation , 2008, International Journal of Computer Vision.

[36]  Guillaume A. Rousselet,et al.  Processing scene context: Fast categorization and object interference , 2007, Vision Research.

[37]  J. Todd,et al.  The effects of viewing angle, camera angle, and sign of surface curvature on the perception of three-dimensional shape from texture. , 2007, Journal of vision.

[38]  Yuanzhen Li,et al.  Measuring visual clutter. , 2007, Journal of vision.

[39]  J. Henderson,et al.  Initial scene representations facilitate eye movement guidance in visual search. , 2007, Journal of experimental psychology. Human perception and performance.

[40]  David D. Cox,et al.  Untangling invariant object recognition , 2007, Trends in Cognitive Sciences.

[41]  T. Foulsham,et al.  How Does the Purpose of Inspection Influence the Potency of Visual Salience in Scene Perception? , 2007, Perception.

[42]  M. Bravo,et al.  The Depth of Distractor Processing in Search with Clutter , 2007, Perception.

[43]  Zhaoping Li,et al.  Feature-specific interactions in salience from combined feature contrasts: evidence for a bottom-up saliency map in V1. , 2007, Journal of vision.

[44]  Joan López-Moliner,et al.  Motion signal and the perceived positions of moving objects. , 2007, Journal of vision.

[45]  Frank E. Ritter,et al.  The Rise of Cognitive Architectures , 2007, Integrated Models of Cognitive Systems.

[46]  K. Ueda,et al.  Searching for a Perceived Stare in the Crowd , 2007, Perception.

[47]  Rufin VanRullen,et al.  Spacing affects some but not all visual searches: implications for theories of attention and crowding. , 2007, Journal of vision.

[48]  Gerald Westheimer,et al.  Grouping of contextual elements that affect vernier thresholds. , 2007, Journal of vision.

[49]  Robin L. Hill,et al.  Eye movements : a window on mind and brain , 2007 .

[50]  Jeremy M. Wolfe,et al.  Guided Search 4.0: Current Progress With a Model of Visual Search , 2007, Integrated Models of Cognitive Systems.

[51]  Michael L. Mack,et al.  VISUAL SALIENCY DOES NOT ACCOUNT FOR EYE MOVEMENTS DURING VISUAL SEARCH IN REAL-WORLD SCENES , 2007 .

[52]  Antonio Torralba,et al.  Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search. , 2006, Psychological review.

[53]  Fred H Hamker,et al.  Modeling feature-based attention as an active top-down inference process. , 2006, Bio Systems.

[54]  S. Hochstein,et al.  With a careful look: Still no low-level confound to face pop-out , 2006, Vision Research.

[55]  R. VanRullen On second glance: Still no high-level pop-out effect for faces , 2006, Vision Research.

[56]  A. Hollingworth Visual memory for natural scenes: Evidence from change detection and visual search , 2006 .

[57]  M. Pomplun Saccadic selectivity in complex visual search displays , 2006, Vision Research.

[58]  Gregory J. Zelinsky,et al.  Scene context guides eye movements during visual search , 2006, Vision Research.

[59]  James R. Brockmole,et al.  Using real-world scenes as contextual cues for search , 2006 .

[60]  Miguel P Eckstein,et al.  Attentional Cues in Real Scenes, Saccadic Targeting, and Bayesian Priors , 2005, Psychological science.

[61]  Björn N. S. Vlaskamp,et al.  Crowding degrades saccadic search performance , 2005, Vision Research.

[62]  A. Hollingworth Scene and position specificity in visual memory for objects. , 2006, Journal of experimental psychology. Learning, memory, and cognition.

[63]  Larry N. Thibos,et al.  Influence of environmental color on refraction and polychromatic image quality , 2005 .

[64]  John K. Tsotsos,et al.  Neurobiology of Attention , 2005 .

[65]  Aude Oliva,et al.  Human Learning of Contextual Priors for Object Search: Where does the time go? , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

[66]  Shaul Hochstein,et al.  At first sight: A high-level pop out effect for faces , 2005, Vision Research.

[67]  Yuhong Jiang,et al.  Setting up the target template in visual search. , 2005, Journal of vision.

[68]  J. Mattingley,et al.  Look at me, I'm smiling: Visual search for threatening and nonthreatening facial expressions , 2005 .

[69]  L. Itti,et al.  Modeling the influence of task on attention , 2005, Vision Research.

[70]  Abel G. Oliva,et al.  Gist of a scene , 2005 .

[71]  Helga C. Arsenio,et al.  Panoramic search: the interaction of memory and vision in search through a familiar scene. , 2004, Journal of experimental psychology. Human perception and performance.

[72]  Jodi L. Davenport,et al.  Scene Consistency in Object and Background Perception , 2004, Psychological science.

[73]  M. Bar Visual objects in context , 2004, Nature Reviews Neuroscience.

[74]  Zenzi M. Griffin,et al.  Why Look? Reasons for Eye Movements Related to Language Production. , 2004 .

[75]  Hany Farid,et al.  Search for a Category Target in Clutter , 2004, Perception.

[76]  J. Wolfe,et al.  What attributes guide the deployment of visual attention and how do they do it? , 2004, Nature Reviews Neuroscience.

[77]  J. Townsend,et al.  The serial-parallel dilemma: A case study in a linkage of theory and method , 2004, Psychonomic bulletin & review.

[78]  Naomi M. Kenner,et al.  How fast can you change your mind? The speed of top-down guidance in visual search , 2004, Vision Research.

[79]  A. Hollingworth Constructing visual representations of natural scenes: the roles of short- and long-term visual memory. , 2004, Journal of experimental psychology. Human perception and performance.

[80]  Antonio Torralba,et al.  Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope , 2001, International Journal of Computer Vision.

[81]  Fernanda Ferreira,et al.  Scene Perception for Psycholinguists. , 2004 .

[82]  F. Newell,et al.  Is object search mediated by object-based or image-based representations? , 2004, Spatial vision.

[83]  P. Perona,et al.  Rapid natural scene categorization in the near absence of attention , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[84]  J. Henderson,et al.  Accurate visual memory for previously attended objects in natural scenes , 2002 .

[85]  C. Koch,et al.  Computational modelling of visual attention , 2001, Nature Reviews Neuroscience.

[86]  J. Wolfe,et al.  Post-attentive vision , 2001 .

[87]  C. Koch,et al.  A saliency-based search mechanism for overt and covert shifts of visual attention , 2000, Vision Research.

[88]  J. Henderson,et al.  Semantic Informativeness Mediates the Detection of Changes in Natural Scenes , 2000 .

[89]  J. Henderson,et al.  Object identification is isolated from scene semantic constraint: evidence from object type and token discrimination. , 1999, Acta psychologica.

[90]  J. Henderson,et al.  The effects of semantic consistency on eye movements during complex scene viewing , 1999 .

[91]  B. C. Motter,et al.  The guidance of eye movements during active visual search , 1998, Vision Research.

[92]  J. Wolfe,et al.  What Can 1 Million Trials Tell Us About Visual Search? , 1998 .

[93]  J. Wolfe,et al.  Why are there eccentricity effects in visual search? Visual and attentional hypotheses , 1998, Perception & psychophysics.

[94]  W. Cowan,et al.  Visual search for colour targets that are or are not linearly separable from distractors , 1996, Vision Research.

[95]  M. Carrasco,et al.  The eccentricity effect: Target eccentricity affects performance on conjunction searches , 1995, Perception & psychophysics.

[96]  J. Wolfe Visual search in continuous, naturalistic stimuli , 1994, Vision Research.

[97]  H. Nothdurft The role of features in preattentive vision: Comparison of orientation, motion and color cues , 1993, Vision Research.

[98]  Alan D. Baddeley,et al.  Attention: Selection, Awareness, and Control , 1993 .

[99]  H. Egeth,et al.  Further evidence for a time-independent shift of the focus of attention , 1991, Perception & psychophysics.

[100]  J. Townsend Serial vs. Parallel Processing: Sometimes They Look like Tweedledum and Tweedledee but they can (and Should) be Distinguished , 1990 .

[101]  James T. Enns,et al.  Three-dimensional features that pop out in visual search. , 1990 .

[102]  Susan L. Franzel,et al.  Guided search: an alternative to the feature integration model for visual search. , 1989, Journal of experimental psychology. Human perception and performance.

[103]  J. Duncan,et al.  Visual search and stimulus similarity. , 1989, Psychological review.

[104]  Irving Biederman,et al.  Object search in nonscene displays. , 1988 .

[105]  Anne Treisman,et al.  Visual Information-Processing in the Perception of Features and Objects , 1988 .

[106]  H. Egeth,et al.  Searching for conjunctively defined targets. , 1984, Journal of experimental psychology. Human perception and performance.

[107]  I. Biederman,et al.  Scene perception: Detecting and judging objects undergoing relational violations , 1982, Cognitive Psychology.

[108]  A. Treisman,et al.  A feature-integration theory of attention , 1980, Cognitive Psychology.

[109]  I. Biederman,et al.  Searching for objects in real-world scences. , 1973, Journal of experimental psychology.

[110]  S. Schumm,et al.  Experimental Study of Channel Patterns , 1971, Nature.

[111]  James T. Townsend,et al.  A note on the identifiability of parallel and serial processes , 1971 .

[112]  U. Neisser VISUAL SEARCH. , 1964, Scientific American.

[113]  J M ENOCH,et al.  Effect of the size of a complex display upon visual search. , 1959, Journal of the Optical Society of America.

[114]  Howard L. Kingsley An Experimental Study of 'Search' , 1932 .