Generating customised experimental stimuli for visual search using Genetic Algorithms shows evidence for a continuum of search efficiency

Vision Research

Volumn 49, Issue 3, 2009, Pages 374-382

  Verma, Milan ^a   McOwan, Peter W ^a  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Genetic Algorithms; Pop out; Psychophysics; Saliency; Visual attention

Indexed keywords

ADULT; ARTICLE; ARTIFICIAL INTELLIGENCE; CONTROLLED STUDY; EYE TRACKING; FEMALE; GENETIC ALGORITHM; HUMAN; HUMAN EXPERIMENT; MALE; MATHEMATICAL MODEL; NORMAL HUMAN; PRIORITY JOURNAL; PSYCHOPHYSICS; VALIDATION PROCESS; VISUAL STIMULATION;

ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; ATTENTION; FEMALE; FIELD DEPENDENCE-INDEPENDENCE; HUMANS; MALE; MODELS, PSYCHOLOGICAL; PATTERN RECOGNITION, VISUAL; PHOTIC STIMULATION; PSYCHOPHYSICS; YOUNG ADULT;

EID: 59349114281     PISSN: 00426989     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.visres.2008.11.006     Document Type: Article

References (48)

1. Adelson E.H., and Bergen J.R. Spatiotemporal energy models for the perception of motion. Journal Optical Society of America, A 2 (1985) 284-299
2. Allman J., Miezin F., and McGuinness E. Stimulus specific responses from beyond the classical receptive field: Neurophysiological mechanisms for local-global comparisons in visual neurons. Annual Review Neuroscience 8 (1985) 407-430
3. Anderson S.J., and Burr D.C. Spatial and temporal selectivity of the human motion detection system. Vision Research 25 8 (1985) 1147-1154
4. Beck J. Perceptual grouping produced by line figures. Perception and Psychophysics 2 (1967) 491-495
5. Bergen J.R., and Julesz B. Rapid discrimination of visual patterns. IEEE Transactions on Systems, Man, & Cybernetics 13 (1983) 857-863
6. Blok, H. J. (2000). On the nature of the stock market: Simulations and experiments. Ph.D. Thesis, University of British Columbia (pp. 193-207).
7. Burt P.J., and Adelson E.H. The Laplacian pyramid as a compact image code. IEEE Transactions on Communication 31 4 (1983) 532-540
8. Daugman J.G. Uncertainty relations for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. Journal Optical Society of America, A 2 (1985) 1160-1169
9. De Valois R.L., Albrecht D.G., and Thorell L.G. Spatial frequency selectivity of cells in macaque visual cortex. Vision Research 22 (1982) 545-559
10. Derrington A.M., Krauskopf J., and Lennie P. Chromatic mechanisms in lateral geniculate nucleus of macaque. Journal of Physiology (London) 357 (1984) 241-256
11. Desimone R., and Duncan J. Neural mechanisms of selective visual attention. Annual Review of Neuroscience 18 (1995) 193-222
12. Duncan J., and Humphreys G.W. Visual search and stimulus similarity. Psychological Review 96 (1989) 433-458
13. Field D.J. Relations between the statistics of natural images and the response properties of cortical cells. Journal Optical Society of America, A 4 (1987) 2379-2394
14. Field D.J., and Tolhurst D.J. The structure and symmetry of simple-cell receptive-field profiles in the cat's visual cortex. Proceedings of the Royal Society of London, B 228 (1986) 379-400
15. Foster D.H., and Ward P.A. Asymmetries in oriented-line detection indicate two orthogonal filters in early vision. Proceedings of the Royal Society of London, B 243 (1991) 75-81
16. Geisler W.S., and Albrecht D.G. Visual cortex neurons in monkeys and cats: Detection, discrimination, and identification. Visual Neuroscience 14 (1997) 897-919
17. Holland J.H. Adaptation in natural and artificial systems (1975), University of Michigan Press, Ann Arbor, MI
18. Hu, Y. Q., Xie, X., Ma, W. Y., Chia, L. T., & Deepu, R. (2004). Salient region detection using weighted feature maps based on the human visual attention model. In The fifth pacific-rim conference on multimedia (Vol. 3(5), pp. 1363-1368).
19. Huang L., and Pashler H. Attention capacity and task difficulty in visual search. Cognition 94 B (2005) 101-111
20. Hubel D.H., and Wiesel T.N. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. Journal of Physiology 160 (1962) 106-154
21. Hurvich L.M., and Jameson D. An opponent-process theory of color vision. Psychological Review 64 6 (1957) 384-404
22. Itti L., and Koch C. A saliency-based search mechanism for overt and covert shifts of visual attention. Vision Research 40 10-12 (2000) 1489-1506
23. Itti L., and Koch C. Feature combination strategies for saliency-based visual attention. Systems Journal of Electronic Imaging 10 (2001) 161-169
24. Itti L., Niebur E., and Koch C. A model of saliency-based fast visual attention for rapid scene analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 20 11 (1998) 1254-1259
25. Jones J.P., and Palmer L.A. An evaluation of the two-dimensional Gabor filter models of simple receptive fields in cat striate cortex. Journal of Neurophysiology 58 (1987) 1233-1258
26. Julesz B. Textons, the elements of texture perception, and their interactions. Nature 290 (1981) 91-97
27. Knierim J.J., and Van Essen D.C. Neuronal responses to static texture patterns in area V1 of the alert macaque monkey. Journal Neurophysiology 67 4 (1992) 961-980
28. Koch C., and Ullman S. Shifts in selective visual-attention towards the underlying neural circuitry. Human Neurobiology 4 (1985) 219-227
29. Koene, A. R., & Zhaoping, L. (2007). Feature-specific interactions in salience from combined feature contrasts: Evidence for a bottom-up saliency map in V1. Journal of Vision, 7(7): 6, 11-14.
30. Li, Y., Ma, Y., & Zhang, H. (2003). Salient region detection and tracking in video. In ICME 2003: Proceedings of ieee international conference on multimedia and expo.
31. Moraglia G. Visual search: Spatial frequency and orientation. Perceptual and Motor Skills 69 (1989) 675-689
32. Nothdurft H.C. Texture segmentation and pop-out from orientation contrast. Vision Research 31 (1991) 1073-1078
33. Nothdurft H.C. Feature analysis and the role of similarity in preattentive vision. Perception & Psychophysics 52 (1992) 355-375
34. Nothdurft H.C., Gallant J.L., and Van Essen D.C. Response modulation by texture surround in primate area V1: Correlates of "popout" under anesthesia. Visual Neuroscience 16 (1999) 15-34
35. Reddy, L., & VanRullen, R. (2007). Spacing affects some but not all visual searches: Implications for theories of attention and crowding. Journal of Vision, 7(2): 6, 1-17.
36. Reichardt W. Autocorrelation, a principle for the evaluation of sensory information by the central nervous system. In: Rosenblith W.A. (Ed). Sensory communication (1961), Wiley, New York 303-317
37. Sillito A.M., Grieve K.L., Jones H.E., Cudeiro J., and Davis J. Visual cortical mechanisms detecting focal orientation discontinuities. Nature 378 (1995) 492-496
38. Titchener E.B. Lectures on the elementary psychology of feeling and attention (1908), The MacMillan Company, New York
39. Treisman A. Preattentive processing in vision. Computer Vision, Graphics and Image Processing 31 (1985) 156-177
40. Treisman A. Features and objects: The fourteenth bartlett memorial lecture. Quarterly Journal of Experimental Psychology, A 2 40 (1988) 201-237
41. Treisman A., and Gelade G. A feature-integration theory of attention. Cognitive Psychology 12 (1980) 97-136
42. Treisman A., and Gormican S. Feature analysis in early vision: Evidence from search asymmetries. Psychological Review 95 (1988) 15-48
43. Walther, D. (2006). Appendix A.2. Color opponencies for bottom-up attention. Interactions of visual attention and object recognition: Computational modeling, algorithms, and psychophysics. Ph.D. Thesis, California Institute of Technology (pp. 98-99).
44. Webster M.A., and De Valois R.L. Relationship between spatial-frequency and orientation tuning of striate-cortex cells. Journal Optical Society of America 2 7 (1985) 1124-1132
45. Wolfe J.M. Guided search 2.0: a revised model of visual search. Psychonomic Bulletin & Review 1 (1994) 202-238
46. Wolfe J.M. Visual search. In: Pashler H. (Ed). Attention (1998), University College London Press, London
47. Wolfe J.M. The psychophysical evidence for a binding problem in human vision. Neuron 24 11-17 (1999) 111-125
48. Zhaoping L., and Snowden R.J. A theory of a saliency map in primary visual cortex (V1) tested by psychophysics of colour-orientation interference in texture segmentation. Visual Cognition 14 4-8 (2006) 911-933