, A model of saliency-based visual attention for rapid scene analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.11, pp.1254-1263, 1998.
DOI : 10.1109/34.730558
, Natural scene statistics at the centre of gaze, Network: Computation in Neural Systems, vol.10, issue.4, pp.1-10, 1999.
DOI : 10.1088/0954-898X_10_4_304
, High frequency edges (but not contrast) predict where we fixate: A Bayesian system identification analysis, Vision Research, vol.46, issue.18, pp.2824-2857, 2006.
DOI : 10.1016/j.visres.2006.02.024
, Modeling the role of salience in the allocation of overt visual attention, Vision Research, vol.42, issue.1, pp.107-130, 2002.
DOI : 10.1016/S0042-6989(01)00250-4
, Visual correlates of fixation selection: effects of scale and time, Vision Research, vol.45, issue.5, pp.643-59, 2005.
DOI : 10.1016/j.visres.2004.09.017
, Visual Correlates of Fixation Selection: A Look at the Spatial Frequency Domain, 2007 IEEE International Conference on Image Processing, 2007.
DOI : 10.1109/ICIP.2007.4379303
, Effects of luminance contrast and its modifications on fixation behavior during free viewing of images from different categories, Vision Research, vol.49, issue.12, pp.1541-53, 2009.
DOI : 10.1016/j.visres.2009.03.011
, Neural acclimation to 1/f spatial frequency spectra in natural images transduced by the human visual system, Physica D: Nonlinear Phenomena, vol.137, issue.3-4, pp.3-4379, 2000.
DOI : 10.1016/S0167-2789(99)00197-9
, Speed of processing in the human visual system, Nature, vol.381, issue.6582, pp.520-522, 1996.
DOI : 10.1038/381520a0
, The coarse-to-fine hypothesis revisited: Evidence from neuro-computational modeling, Brain and Cognition, vol.57, issue.2, pp.151-158, 2005.
DOI : 10.1016/j.bandc.2004.08.035
URL : https://hal.archives-ouvertes.fr/hal-00114714
, Nonhomogeneous Resolution of Images of Natural Scenes, Perception, vol.26, issue.12, pp.1403-1415, 2000.
DOI : 10.1068/p2991
, FROM BLOBS TO BOUNDARY EDGES:. Evidence for Time- and Spatial-Scale-Dependent Scene Recognition, Psychological Science, vol.22, issue.4, pp.195-200, 1994.
DOI : 10.1037//0096-1523.9.2.194
, Time course of visual perception: coarse-to-fine perception and beyond, Prog Neurobiol, vol.84, pp.405-444, 2008.
, Statistics of natural image categories, Network: Computation in Neural Systems, vol.14, issue.3, pp.391-412, 2003.
DOI : 10.1088/0954-898X_14_3_302
, Shifts in Selective Visual Attention: Towards the Underlying Neural Circuitry, Hum Neurobiol, vol.4, issue.4, pp.219-246, 1985.
DOI : 10.1007/978-94-009-3833-5_5
, What we see is most likely to be what matters: visual attention and applications, International conference on image processing, pp.3085-3088, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00441011
, A coherent computational approach to model bottom-up visual attention, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.5, pp.802-819, 2006.
DOI : 10.1109/TPAMI.2006.86
URL : https://hal.archives-ouvertes.fr/hal-00669578
, Image coding in the context of a psychovisual image representation with vector quantization, Proceedings., International Conference on Image Processing, pp.97-100, 1995.
DOI : 10.1109/ICIP.1995.529048
, The cortex transform: rapid computation of simulated neural images. Comput Vis Graph Image Process, pp.311-338, 1987.
, Predicting visual fixations on video based on low-level visual features, Vision Research, vol.47, issue.19, pp.2483-98, 2007.
DOI : 10.1016/j.visres.2007.06.015
URL : https://hal.archives-ouvertes.fr/hal-00287424
, Cue normalization schemes in saliency-based visual attention models, International cognitive vision workshop, 2006.
, The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions, Journal of Vision, vol.7, issue.14, pp.1-17, 2007.
DOI : 10.1167/7.14.4
, Gist of the scene The encyclopedia of neurobiology of attention, Dordrecht, pp.251-257, 2005.
, Eye movements in reading and information processing: 20 years of research., Psychological Bulletin, vol.124, issue.3, pp.372-422, 1998.
DOI : 10.1037/0033-2909.124.3.372
, Components of bottom-up gaze allocation in natural images, Vision Research, vol.45, issue.18, pp.2397-416, 2005.
DOI : 10.1016/j.visres.2005.03.019
, Saliency based on information maximization Advances in neural information processing systems, pp.155-162, 2006.
, SUN: A Bayesian framework for saliency using natural statistics, Journal of Vision, vol.8, issue.7, 2008.
DOI : 10.1167/8.7.32
, Automatic control of saccadic eye movements made in visual inspection of briefly presented 2-D images, Spatial Vision, vol.9, issue.3, pp.363-86, 1995.
DOI : 10.1163/156856895X00052
, Features that draw visual attention: an information theoretic perspective, Neurocomputing, vol.65, issue.66, pp.65-66125, 2005.
DOI : 10.1016/j.neucom.2004.10.065
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.85.8603
, Contextual guidance of eye movements and attention in real-world scenes: The role of global features in object search., Psychological Review, vol.113, issue.4, pp.766-86, 2006.
DOI : 10.1037/0033-295X.113.4.766
, Modeling the influence of task on attention, Vision Research, vol.45, issue.2, pp.205-236, 2005.
DOI : 10.1016/j.visres.2004.07.042