Do we look at lights? Using mixture modelling to distinguish between low- and high-level factors in natural image viewing

Visual Cognition

Volumn 17, Issue 6-7, 2009, Pages 856-879

  Vincent, Benjamin T ^a   Baddeley, Roland ^b   Correani, Alessia ^b   Troscianko, Tom ^b   Leonards, Ute ^b  

^a UNIVERSITY OF DUNDEE   (United Kingdom)

^b UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

Bottom up; Eye movements; Lights; Salience; Top down

Indexed keywords

ADULT; ARTICLE; ATTENTION; COGNITION; CONTRAST; CONTROLLED STUDY; EYE FIXATION; EYE MOVEMENT; FEMALE; HUMAN; HUMAN EXPERIMENT; IMAGE PROCESSING; LUMINANCE; MALE; NORMAL HUMAN; PRIORITY JOURNAL; RELIABILITY; TASK PERFORMANCE; VISION; VISUAL SALIENCE; VISUAL STIMULATION; VISUAL SYSTEM;

EID: 70549083571     PISSN: 13506285     EISSN: 14640716     Source Type: Journal    
DOI: 10.1080/13506280902916691     Document Type: Article

References (44)

1. Antes, J. R. (1974). The time course of picture viewing. Journal of Experimental Psychology, 103, 62-70.
2. Baddeley, R., & Tatler, B. (2006). High frequency edges (but not contrast) predict where we fixate: A Bayesian system identification analysis. Vision Research, 46(18), 2824-2833.
3. Bishop, C. M. (1995). Neural networks for pattern recognition. Oxford, UK: Oxford University Press.
4. Buswell, G. T. (1935). How people look at pictures. Chicago: University of Chicago Press.
5. Correani, A., Scott-Samuel, N. E., & Leonards, U. (2006). Luminosity*a perceptual "feature" of light-emitting objects? Vision Research, 46(22), 3915-3925.
6. Dempster, A., Laird, N., & Rubin, D. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, 39B(1), 1-38.
7. Efron, B., & Tibshirani, R. J. (1993). An introduction to the bootstrap. New York: Chapman & Hall.
8. Einhäuser, W., Spain, M., & Perona, P. (2008). Objects predict fixations better than early saliency. Journal of Vision, 8(14), 11-26.
9. Everitt, B. S., & Hand, D. J. (1981). Finite mixture distributions. London: Chapman & Hall.
10. Gilchrist, A. L. (2007). Lightness and brightness. Current Biology, 17, R267-R269.
11. Hayhoe, M. (2000). Visual routines: A functional account of vision. Visual Cognition, 7, 43-64.
12. Hayhoe, M., & Ballard, D. (2005). Eye movements in natural behavior. Trends in Cognitive Sciences, 9(4), 188-193.
13. He, P. Y., & Kowler, E. (1989). The role of location probability in the programming of saccades: Implications for "center-of-gravity" tendencies. Vision Research, 29, 1165-1181.
14. Itti, L., & Koch, C. (2000). A saliency-based search mechanism for overt and covert shifts of visual attention. Vision Research, 40, 1489-1506.
15. Karandikar, R. V. (1955). Luminance of the sun. Journal of the Optical Society of America, 45, 483-488.
16. Krieger, G., Rentschler, I., Hauske, G., Schill, K., & Zetzsche, C. (2000). Object and scene analysis by saccadic eye-movements: An investigation with higher-order statistics. Spatial Vision, 13(2-3), 201-214.
17. Land, M. F., & Hayhoe, M. M. (2001). In what ways do eye movements contribute to everyday activities? Vision Research, 41, 3559-3565.
18. Land, M. F., & Horwood, J. M. (1995). Which parts of the road guide steering. Nature, 377, 339-340.
19. Land, M. F., & Lee, D. N. (1994). Where we look when we steer. Nature, 369, 742-744.
20. Land, M. F., & McLeod, P. (2000). From eye movements to actions: How batsmen hit the ball. Nature Neuroscience, 3, 1340-1345.
21. Leonards, U., Baddeley, R., Gilchrist, I. D., Troscianko, T., Ledda, P., & Williamson, B. (2007). Mediaeval artists: Masters in directing the observers' gaze. Current Biology, 17, R8-R9.
22. Leonards, U., Troscianko, T., Lazeyras, F., & Ibanez, V. (2005). Cortical distinction between the neural encoding of objects that appear to glow, and those that do not. Cognitive Brain Research, 24, 173-176.
23. Liversedge, S. P., & Findlay, J. M. (2000). Saccadic eye movements and cognition. Trends in Cognitive Science, 4, 6-14.
24. Locher, P. J., & Nodine, C. G. (1987). Symmetry catches the eye. In J. K. O'Regan & A. Levy- Schoen (Eds.), Eye movements: From physiology to cognition (pp. 353-361). Amsterdam and New York: North-Holland/Elsevier Science Publishers.
25. Loftus, G. R., & Mackworth, N. H. (1978). Cognitive determinants of fixation location during picture viewing. Journal of Experimental Psychology: Human Perception and Performance, 4, 565-572.
26. Mackworth, N. H., & Morandi, A. J. (1967). The gaze selects informative details within pictures. Perception and Psychophysics, 2, 547-552.
27. Mannan, S. K., Ruddock, K. H., & Wooding, D. S. (1997). Fixation patterns made during brief examination of two-dimensional images. Perception, 26(8), 1059-1072.
28. Navalpakkam, V., & Itti, L. (2005). Modeling the influence of task on attention. Vision Research, 45(2), 205-231.
29. Noton, D., & Stark, L. (1971). Scanpaths in saccadic eye movements while viewing and recognizing patterns. Vision Research, 11, 929-942.
30. Nyström, M., & Holmqvist, K. (2008). Semantic override of low-level features in image viewing-both initially and overall. Journal of Eye Movement Research, 2(2), 1-11.
31. Parkhurst, D., Law, K., & Niebur, E. (2002). Modelling the role of salience in the allocation of overt visual attention. Vision Research, 42, 107-123.
32. Parkhurst, D., & Niebur, E. (2003). Scene content selected by active vision. Spatial Vision, 16, 125-154.
33. Reinagel, P., & Zador, A. M. (1999). Natural scene statistics at the centre of gaze. Network Computation in Neural Systems, 10, 341-350.
34. Richards, W., & Kaufman, L. (1969). Centre-of-gravity tendencies for fixations and flow patterns. Perception and Psychophysics, 5, 81-84.
35. Sedgwick, H. A. (1980). The geometry of spatial layout in pictorial representation. In M. A. Hagen (Ed.), The perception of pictures: Vol. 1. Alberti's window: The projective model of pictorial information (pp. 33-88). New York: Academic Press.
36. Smith, T., & Henderson, J. (2009). Attentional synchrony in static and dynamic scenes. Visual Cognition, 17(6/7), 1083-1108.
37. Tatler, B. W. (2007). The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions. Journal of Vision, 7(14), 1-17.
38. Tatler, B. W., Baddeley, R. J., & Gilchrist, I. D. (2005). Visual correlates of fixation selection: Effects of scale and time. Vision Research, 45, 643-659.
39. Tatler, B. W., Baddeley, R. J., & Vincent, B. (2006). The long and the short of it: Spatial statistics at fixation vary with saccade amplitude and task. Vision Research, 46, 1857-1862.
40. Tatler, B. W., & Vincent, B. T. (2009) The prominence of behavioural biases in eye guidance. Visual Cognition, 17(6/7), 1029-1054.
41. Van Beers, R. (2007). The sources of variability in saccadic eye movements. Journal of Neuroscience, 27(33), 8757-8770.
42. Vincent, B., Troscianko, T., & Gilchrist, I. D. (2007). Investigating a space-variant weighted salience account of visual selection. Vision Research, 47, 1809-1820.
43. Walther, D., & Koch, C. (2006). Modelling attention to salient proto-objects. Neural Networks, 19, 1395-1407.
44. Yarbus, A. L. (1967). Eye movements and vision. New York: Plenum Press.