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Volumn 57, Issue 30, 2012, Pages 3943-3952

A computational coding model for saliency detection in primary visual cortex

Author keywords

coding in primary visual cortex; invariant feature; overcomplete bases; saliency detection; visual attention

Indexed keywords


EID: 84866999064     PISSN: 10016538     EISSN: 18619541     Source Type: Journal    
DOI: 10.1007/s11434-012-5402-x     Document Type: Article
Times cited : (3)

References (36)
  • 1
    • 0018878142 scopus 로고
    • A feature-integration theory of attention
    • Treisman A M, Gelade G. A feature-integration theory of attention. Cogn Psychol, 1980, 12: 97-136.
    • (1980) Cogn Psychol , vol.12 , pp. 97-136
    • Treisman, A.M.1    Gelade, G.2
  • 2
    • 0035286497 scopus 로고    scopus 로고
    • Computational modeling of visual attention
    • Itti L, Koch C. Computational modeling of visual attention. Nat Rev Neurosci, 2001, 2: 194-203.
    • (2001) Nat Rev Neurosci , vol.2 , pp. 194-203
    • Itti, L.1    Koch, C.2
  • 3
    • 0032204063 scopus 로고    scopus 로고
    • A model of saliency-based visual attention for rapid scene analysis
    • Itti L, Koch C, Niebur E. A model of saliency-based visual attention for rapid scene analysis. IEEE Trans Patt Anal Mach Intell, 1998, 20: 1254-1259.
    • (1998) IEEE Trans Patt Anal Mach Intell , vol.20 , pp. 1254-1259
    • Itti, L.1    Koch, C.2    Niebur, E.3
  • 4
    • 0348226496 scopus 로고    scopus 로고
    • A Neurodynamical cortical model of visual attention and invariant object recognition
    • Gustavo D, Edmund T R. A Neurodynamical cortical model of visual attention and invariant object recognition. Vision Res, 2004, 44: 621-642.
    • (2004) Vision Res , vol.44 , pp. 621-642
    • Gustavo, D.1    Edmund, T.R.2
  • 5
    • 85008009682 scopus 로고    scopus 로고
    • Visual Saliency detection via sparsity pursuit
    • Yan J, Zhu M, Liu H, et al. Visual Saliency detection via sparsity pursuit. IEEE Signal Proc Lett, 2010, 17: 739-742.
    • (2010) IEEE Signal Proc Lett , vol.17 , pp. 739-742
    • Yan, J.1    Zhu, M.2    Liu, H.3
  • 6
    • 33847767957 scopus 로고    scopus 로고
    • Theoretical understanding of the early visual processes by data compression and data selection
    • Zhaoping L. Theoretical understanding of the early visual processes by data compression and data selection. Network Comp Neural, 2006, 17: 301-334.
    • (2006) Network Comp Neural , vol.17 , pp. 301-334
    • Zhaoping, L.1
  • 7
    • 33745152770 scopus 로고    scopus 로고
    • Feature-based attention in visual cortex
    • Maunsell J H R, Treue S. Feature-based attention in visual cortex. Trends Neurosci, 2006, 29: 317-322.
    • (2006) Trends Neurosci , vol.29 , pp. 317-322
    • Maunsell, J.H.R.1    Treue, S.2
  • 8
    • 1642633616 scopus 로고    scopus 로고
    • The control of low-level information flow in the visual system
    • Suder K, Worgotter F. The control of low-level information flow in the visual system. Rev Neurosci, 2000, 11: 127-146.
    • (2000) Rev Neurosci , vol.11 , pp. 127-146
    • Suder, K.1    Worgotter, F.2
  • 9
    • 0022388528 scopus 로고
    • Shifts in selective visual attention: Towards the underlying neural circuitry
    • Koch C, Ullman S. Shifts in selective visual attention: Towards the underlying neural circuitry. Human Neurobiol, 1985, 4: 219-227.
    • (1985) Human Neurobiol , vol.4 , pp. 219-227
    • Koch, C.1    Ullman, S.2
  • 10
    • 33645236179 scopus 로고    scopus 로고
    • A coherent computational approach to model the bottom-up visual attention
    • Meur O L, Callet P L, Barba D, et al. A coherent computational approach to model the bottom-up visual attention. IEEE Trans Patt Anal Mach Intell, 2006, 28: 802-817.
    • (2006) IEEE Trans Patt Anal Mach Intell , vol.28 , pp. 802-817
    • Meur, O.L.1    Callet, P.L.2    Barba, D.3
  • 11
    • 0034920427 scopus 로고    scopus 로고
    • A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images
    • Hyvarinen A, Hoyer P. A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images. Vision Res, 2001, 41: 2413-2423.
    • (2001) Vision Res , vol.41 , pp. 2413-2423
    • Hyvarinen, A.1    Hoyer, P.2
  • 12
    • 69449100433 scopus 로고    scopus 로고
    • How Does Our Visual System Achieve Shift and Size Invariance?
    • New York: Oxford University Press
    • Wiskott L. How Does Our Visual System Achieve Shift and Size Invariance? Chapter 16 in 23 Problems in Systems Neuroscience. New York: Oxford University Press, 2006.
    • (2006) Chapter 16 in 23 Problems in Systems Neuroscience
    • Wiskott, L.1
  • 13
    • 45249100930 scopus 로고    scopus 로고
    • On the plausibility of the discriminant center-surround hypothesis for visual saliency
    • Gao D, Mahadevan V, Vasconcelos N. On the plausibility of the discriminant center-surround hypothesis for visual saliency. J Vision, 2008, 8: 1-18.
    • (2008) J Vision , vol.8 , pp. 1-18
    • Gao, D.1    Mahadevan, V.2    Vasconcelos, N.3
  • 14
    • 0042665432 scopus 로고    scopus 로고
    • Contour detection based on nonclassical receptive field inhibition
    • Grigorescu C, Petkov N, Westenberg M A. Contour detection based on nonclassical receptive field inhibition. IEEE Trans Image Process, 2003, 12: 729-739.
    • (2003) IEEE Trans Image Process , vol.12 , pp. 729-739
    • Grigorescu, C.1    Petkov, N.2    Westenberg, M.A.3
  • 15
    • 77957749371 scopus 로고    scopus 로고
    • What and where: A Bayesian inference theory of attention
    • Chikkerur S, Serre T, Tan C, et al. What and where: A Bayesian inference theory of attention. Vision Res, 2010, 50: 2233-2247.
    • (2010) Vision Res , vol.50 , pp. 2233-2247
    • Chikkerur, S.1    Serre, T.2    Tan, C.3
  • 19
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • Olshausen B A, Field D J. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 1996, 381: 607-609.
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 20
    • 0034222304 scopus 로고    scopus 로고
    • Emergence of phase-and shift-invariant features by decomposition of natural images into independent feature subspaces
    • Hyvarinen A, Hoyer P. Emergence of phase-and shift-invariant features by decomposition of natural images into independent feature subspaces. Neural Comput, 2000, 12: 1705-1720.
    • (2000) Neural Comput , vol.12 , pp. 1705-1720
    • Hyvarinen, A.1    Hoyer, P.2
  • 21
    • 84863065209 scopus 로고    scopus 로고
    • A Biologically Inspired System for Fast Handwritten Digit Recognition
    • In: Benoit M, Peter S, eds, Sept. 11-14, Brussels, Belgium
    • Wang Z, Huang Y, Luo S, et al. A Biologically Inspired System for Fast Handwritten Digit Recognition. In: Benoit M, Peter S, eds. Proceedings of the 18th IEEE International Conference on Image Processing, Sept. 11-14, Brussels, Belgium, 2011.
    • (2011) Proceedings of the 18th IEEE International Conference on Image Processing
    • Wang, Z.1    Huang, Y.2    Luo, S.3
  • 22
    • 0036359692 scopus 로고    scopus 로고
    • Invariant recognition of feature combinations in the visual system
    • Elliffe M C M, Rolls E T, Stringer S M. Invariant recognition of feature combinations in the visual system. Biol Cybern, 2002, 86: 59-71.
    • (2002) Biol Cybern , vol.86 , pp. 59-71
    • Elliffe, M.C.M.1    Rolls, E.T.2    Stringer, S.M.3
  • 23
    • 0033021249 scopus 로고    scopus 로고
    • Response modulation by texture surround in primate area V1: Correlates of "popout" under anesthesia
    • Nothdurft H C, Gallant J L, van Essen D C. Response modulation by texture surround in primate area V1: Correlates of "popout" under anesthesia. Vision Neurosci, 1999, 16: 15-34.
    • (1999) Vision Neurosci , vol.16 , pp. 15-34
    • Nothdurft, H.C.1    Gallant, J.L.2    van Essen, D.C.3
  • 24
    • 0030220596 scopus 로고    scopus 로고
    • Isolating excitatory and inhibitory nonlinear spatial interactions involved in contrast detection
    • Zenger B, Sagi D. Isolating excitatory and inhibitory nonlinear spatial interactions involved in contrast detection. Vision Res, 1996, 36: 2497-2513.
    • (1996) Vision Res , vol.36 , pp. 2497-2513
    • Zenger, B.1    Sagi, D.2
  • 25
    • 0000515247 scopus 로고    scopus 로고
    • A comparison of feature combination strategies for saliency-based visual attention systems
    • Itti L, Koch C. A comparison of feature combination strategies for saliency-based visual attention systems. SPIE Human Vision Electron Imag IV, 1999, 3644: 373-382.
    • (1999) SPIE Human Vision Electron Imag IV , vol.3644 , pp. 373-382
    • Itti, L.1    Koch, C.2
  • 26
    • 0034114824 scopus 로고    scopus 로고
    • Attention to Both Space and Feature Modulates Neuronal Responses in Macaque Area V4
    • McAdams C J, Maunsell J H R. Attention to Both Space and Feature Modulates Neuronal Responses in Macaque Area V4. J Neurophysiol, 2000, 83: 1751-1755.
    • (2000) J Neurophysiol , vol.83 , pp. 1751-1755
    • McAdams, C.J.1    Maunsell, J.H.R.2
  • 27
    • 0022448459 scopus 로고
    • Generation of end-inhibition in the visual cortex via interlaminar connections
    • Bolz J, Gilbert C D. Generation of end-inhibition in the visual cortex via interlaminar connections. Nature, 1986, 320: 362-365.
    • (1986) Nature , vol.320 , pp. 362-365
    • Bolz, J.1    Gilbert, C.D.2
  • 29
    • 0033787512 scopus 로고    scopus 로고
    • Spatial distribution of contextual interactions in primary visual cortex and in visual perception
    • Kapadia M K, Westheimer G, Gilbert C D. Spatial distribution of contextual interactions in primary visual cortex and in visual perception. J Neurophysiol, 2000, 84, 2048-2062.
    • (2000) J Neurophysiol , vol.84 , pp. 2048-2062
    • Kapadia, M.K.1    Westheimer, G.2    Gilbert, C.D.3
  • 30
    • 0032484712 scopus 로고    scopus 로고
    • Collinear stimuli regulate visual responses depending on cell's contrast threshold
    • Polat U, Mizobe K, Pettet M W, et al. Collinear stimuli regulate visual responses depending on cell's contrast threshold. Nature, 1998, 391: 580-584.
    • (1998) Nature , vol.391 , pp. 580-584
    • Polat, U.1    Mizobe, K.2    Pettet, M.W.3
  • 31
    • 84864039864 scopus 로고    scopus 로고
    • Saliency based on information maximization
    • Bruce N, Tsotsos J. Saliency based on information maximization. Adv Neural Infor Process Syst, 2005, 18: 155-162.
    • (2005) Adv Neural Infor Process Syst , vol.18 , pp. 155-162
    • Bruce, N.1    Tsotsos, J.2
  • 32
    • 11144343233 scopus 로고    scopus 로고
    • Visual correlates of fixation selection: Effects of scale and time
    • Tatler B, Baddele R, Gilchrist, I. Visual correlates of fixation selection: Effects of scale and time. Vision Res, 2005, 14: 643-659.
    • (2005) Vision Res , vol.14 , pp. 643-659
    • Tatler, B.1    Baddele, R.2    Gilchrist, I.3
  • 33
    • 0028036273 scopus 로고
    • Length and width tuning of neurons in the cat's primary visual cortex
    • DeAngelis G C, Freeman R D, Ohzawa I. Length and width tuning of neurons in the cat's primary visual cortex. J Neurophisiol, 1994, 71: 347-374.
    • (1994) J Neurophisiol , vol.71 , pp. 347-374
    • DeAngelis, G.C.1    Freeman, R.D.2    Ohzawa, I.3
  • 34
    • 0037404930 scopus 로고    scopus 로고
    • Object-based visual attention for computer vision
    • Sun Y, Fisher R. Object-based visual attention for computer vision. Artif Intell, 2003, 146: 77-123.
    • (2003) Artif Intell , vol.146 , pp. 77-123
    • Sun, Y.1    Fisher, R.2
  • 35
    • 0001942829 scopus 로고
    • Neural networks and the bias/ variance dilemma
    • Geman S, Bienenstock E, Doursat R. Neural networks and the bias/ variance dilemma. Neural comput, 1992, 4: 1-58.
    • (1992) Neural Comput , vol.4 , pp. 1-58
    • Geman, S.1    Bienenstock, E.2    Doursat, R.3
  • 36
    • 84897571792 scopus 로고    scopus 로고
    • The Computational magic of the ventral stream: Towards a theory
    • Poggio T. The Computational magic of the ventral stream: Towards a theory. Nat Preced, 2011, 10: 19-59.
    • (2011) Nat Preced , vol.10 , pp. 19-59
    • Poggio, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.