New insights into ambient and focal visual fixations using an automatic classification algorithm

Overt visual attention is the act of directing the eyes toward a given area. These eye movements are characterised by saccades and fixations. A debate currently surrounds the role of visual fixations. Do they all have the same role in the free viewing of natural scenes? Recent studies suggest that at least two types of visual fixations exist: focal and ambient. The former is believed to be used to inspect local areas accurately, whereas the latter is used to obtain the context of the scene. We investigated the use of an automated system to cluster visual fixations in two groups using four types of natural scene images. We found new evidence to support a focal-ambient dichotomy. Our data indicate that the determining factor is the saccade amplitude. The dependence on the low-level visual features and the time course of these two kinds of visual fixations were examined. Our results demonstrate that there is an interplay between both fixation populations and that focal fixations are more dependent on low-level visual features than are ambient fixations.

[1]  A. L. Yarbus,et al.  Eye Movements and Vision , 1967, Springer US.

[2]  Derrick J. Parkhurst,et al.  Modeling the role of salience in the allocation of overt visual attention , 2002, Vision Research.

[3]  P. Subramanian Active Vision: The Psychology of Looking and Seeing , 2006 .

[4]  Patrick Le Callet,et al.  Overt visual attention for free-viewing and quality assessment tasks Impact of the regions of interest on a video quality metric , 2010 .

[5]  B. Velichkovsky,et al.  Time course of information processing during scene perception: The relationship between saccade amplitude and fixation duration , 2005 .

[6]  C. Erkelens,et al.  Coarse-to-fine eye movement strategy in visual search , 2007, Vision Research.

[7]  A. Oliva,et al.  From Blobs to Boundary Edges: Evidence for Time- and Spatial-Scale-Dependent Scene Recognition , 1994 .

[8]  Thierry Baccino,et al.  Eye Movements and concurrent ERP's: EFRPs investigations in reading. , 2011 .

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

[10]  Christopher M. Masciocchi,et al.  Everyone knows what is interesting: salient locations which should be fixated. , 2009, Journal of vision.

[11]  M. Bindemann Scene and screen center bias early eye movements in scene viewing , 2010, Vision Research.

[12]  D. S. Wooding,et al.  Automatic control of saccadic eye movements made in visual inspection of briefly presented 2-D images. , 1995, Spatial vision.

[13]  Iain D. Gilchrist,et al.  Visual correlates of fixation selection: effects of scale and time , 2005, Vision Research.

[14]  Alan C. Bovik,et al.  Foveated analysis of image features at fixations , 2007, Vision Research.

[15]  J. Osborne Improving your data transformations: Applying the Box-Cox transformation , 2010 .

[16]  D. E. Irwin,et al.  Eye movements and scene perception: Memory for things observed , 2002, Perception & psychophysics.

[17]  J. Antes The time course of picture viewing. , 1974, Journal of experimental psychology.

[18]  S Ullman,et al.  Shifts in selective visual attention: towards the underlying neural circuitry. , 1985, Human neurobiology.

[19]  Frédo Durand,et al.  Learning to predict where humans look , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[20]  C. Trevarthen,et al.  Two mechanisms of vision in primates , 1968, Psychologische Forschung.

[21]  Benjamin W. Tatler,et al.  Systematic tendencies in scene viewing , 2008 .

[22]  Thierry Baccino,et al.  Modeling visual attention on scenes , 2010, Stud. Inform. Univ..

[23]  B. Velichkovsky,et al.  Two Visual Systems and Their Eye Movements: Evidence from Static and Dynamic Scene Perception , 2005 .

[24]  B. Velichkovsky,et al.  Distractor effect and saccade amplitudes: Further evidence on different modes of processing in free exploration of visual images , 2009 .

[25]  Olivier Le Meur,et al.  Relevance of a Feed-Forward Model of Visual Attention for Goal-Oriented and Free-Viewing Tasks , 2010, IEEE Transactions on Image Processing.

[26]  John K. Tsotsos,et al.  Saliency, attention, and visual search: an information theoretic approach. , 2009, Journal of vision.

[27]  Benjamin W Tatler,et al.  The central fixation bias in scene viewing: selecting an optimal viewing position independently of motor biases and image feature distributions. , 2007, Journal of vision.

[28]  G. Rizzolatti,et al.  Reorienting attention across the horizontal and vertical meridians: Evidence in favor of a premotor theory of attention , 1987, Neuropsychologia.

[29]  Graham L. Pierce,et al.  Eye movements during scene viewing: Evidence for mixed control of fixation durations , 2008, Psychonomic bulletin & review.

[30]  Thierry Baccino,et al.  Eye fixation–related potentials (EFRPs) during object identification , 2010, Visual Neuroscience.

[31]  R. Karsh,et al.  Cognitive strategies for visual search. , 1986, Acta psychologica.

[32]  B. Velichkovsky Heterarchy of cognition: The depths and the highs of a framework for memory research , 2002, Memory.

[33]  Christof Koch,et al.  A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .

[34]  Boris M. Velichkovsky,et al.  Two visual systems and their eye-movements , 2003 .

[35]  Marina Bloj,et al.  Real and predicted influence of image manipulations on eye movements during scene recognition. , 2010, Journal of vision.

[36]  P. Carpenter,et al.  Individual differences in working memory and reading , 1980 .

[37]  J. Helmert,et al.  Visual Fixation Durations and Saccade Amplitudes: Shifting Relationship in a Variety of Conditions , 2008 .

[38]  Laurent Itti,et al.  Interesting objects are visually salient. , 2008, Journal of vision.

[39]  P Reinagel,et al.  Natural scene statistics at the centre of gaze. , 1999, Network.

[40]  Tom Fawcett,et al.  An introduction to ROC analysis , 2006, Pattern Recognit. Lett..

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

[42]  Patrick Le Callet,et al.  A coherent computational approach to model bottom-up visual attention , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[43]  Preeti Verghese,et al.  Where to look next? Eye movements reduce local uncertainty. , 2007, Journal of vision.

[44]  J. Norman Two visual systems and two theories of perception: An attempt to reconcile the constructivist and ecological approaches. , 2001, The Behavioral and brain sciences.

[45]  R. Baddeley,et al.  The long and the short of it: Spatial statistics at fixation vary with saccade amplitude and task , 2006, Vision Research.

[46]  Thierry Baccino,et al.  Eye-Fixation-Related Potentials: Insight into Parafoveal Processing , 2005 .