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Volumn , Issue , 2012, Pages 470-477

Probabilistic learning of task-specific visual attention

Author keywords

[No Author keywords available]

Indexed keywords

3D VIDEO; BAYESIAN APPROACHES; GLOBAL CONTEXT; HUMAN ATTENTION; MOTOR ACTIONS; PREDICTION ACCURACY; PROBABILISTIC LEARNING; REAL-WORLD TASK; STATIC AND DYNAMIC; TASK-DRIVEN; TOPDOWN; VISUAL ATTENTION; VISUAL TASKS;

EID: 84866646515     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6247710     Document Type: Conference Paper
Times cited : (132)

References (38)
  • 1
    • 0012997540 scopus 로고
    • Eye movements during perception of complex objects
    • L. Riggs, editor, 2
    • A. Yarbus. Eye movements during perception of complex objects. L. Riggs, editor, Eye Movements and Vision, 1967. 2
    • (1967) Movements and Vision
    • Yarbus, A.1
  • 2
    • 0035189421 scopus 로고    scopus 로고
    • In what ways do eye movements contribute to everyday activities?
    • 2
    • M. Land and M. Hayhoe. In what ways do eye movements contribute to everyday activities? Vision Research, 2001. 2
    • (2001) Vision Research
    • Land, M.1    Hayhoe, M.2
  • 3
    • 17444385937 scopus 로고    scopus 로고
    • Eye movements in natural behavior
    • 2
    • M. Hayhoe and D. Ballard. Eye movements in natural behavior. Trends in Cog. Sci., 9(4):188-193. 2005. 2
    • (2005) Trends in Cog. Sci. , vol.9 , Issue.4 , pp. 188-193
    • Hayhoe, M.1    Ballard, D.2
  • 4
    • 0028907957 scopus 로고
    • Memory representations in natural tasks
    • 2, 3
    • D. Ballard, M. Hayhoe, and J. Pelz. Memory representations in natural tasks. J. of Cog. Neurosci., 7(1):66-80, 1995. 2, 3
    • (1995) J. of Cog. Neurosci. , vol.7 , Issue.1 , pp. 66-80
    • Ballard, D.1    Hayhoe, M.2    Pelz, J.3
  • 5
    • 0028225676 scopus 로고
    • Where we look when we steer
    • 2
    • M.F. Land and D.N. Lee. Where we look when we steer. Nature, 1994. 2
    • (1994) Nature
    • Land, M.F.1    Lee, D.N.2
  • 6
    • 34948863856 scopus 로고    scopus 로고
    • Beyond bottom-up: Incorporating task-dependent influences into a computational model of spatial attention
    • 2, 4, 7
    • R.J. Peters and L. Itti. Beyond bottom-up: Incorporating task-dependent influences into a computational model of spatial attention. CVPR, 2007. 2, 4, 7
    • (2007) CVPR
    • Peters, R.J.1    Itti, L.2
  • 7
    • 0032204063 scopus 로고    scopus 로고
    • A model of saliency-based visual attention for rapid scene analysis
    • 1, 2, 3, 6, 7
    • L. Itti, C. Koch, and E. Niebur. A model of saliency-based visual attention for rapid scene analysis. PAMI, 1998. 1, 2, 3, 6, 7
    • (1998) PAMI
    • Itti, L.1    Koch, C.2    Niebur, E.3
  • 8
    • 9644289372 scopus 로고    scopus 로고
    • Modeling the influence of task on attention
    • 2
    • V. Navalpakkam and L. Itti. Modeling the influence of task on attention. Vision Research, 45(2): 205-231, 2005. 2
    • (2005) Vision Research , vol.45 , Issue.2 , pp. 205-231
    • Navalpakkam, V.1    Itti, L.2
  • 9
    • 17444399441 scopus 로고    scopus 로고
    • Eye Movements for reward maximization
    • 2
    • N. Sprague and D. Ballard. Eye Movements for reward maximization. NIPS, 2003. 2
    • (2003) NIPS
    • Sprague, N.1    Ballard, D.2
  • 10
    • 33947236748 scopus 로고    scopus 로고
    • Rapid biologically-inspired scene classification using features shared with visual attention
    • 2, 3, 7
    • C. Siagian and L. Itti, Rapid biologically-inspired scene classification using features shared with visual attention. PAMI, 29(2):300-312, 2007. 2, 3, 7
    • (2007) PAMI , vol.29 , Issue.2 , pp. 300-312
    • Siagian, C.1    Itti, L.2
  • 11
    • 70349919085 scopus 로고    scopus 로고
    • Modeling search for people in 900 scenes: A combined source model of eye guidance
    • 1, 2
    • K. Ehinger, B. Hidalgo-Sotelo, A. Torralba, and A. Oliva. Modeling search for people in 900 scenes: a combined source model of eye guidance. Visual Cognition, 2009. 1, 2
    • (2009) Visual Cognition
    • Ehinger, K.1    Hidalgo-Sotelo, B.2    Torralba, A.3    Oliva, A.4
  • 12
    • 0018878142 scopus 로고
    • A feature integration theory of attention
    • 1
    • A.M. Treisman and G. Gelade. A feature integration theory of attention. Cognitive Psych., 12:97-136, 1980. 1
    • (1980) Cognitive Psych. , vol.12 , pp. 97-136
    • Treisman, A.M.1    Gelade, G.2
  • 13
    • 0022388528 scopus 로고
    • Shifts in selective visual attention: Towards the underlying neural circuitry
    • 1
    • C. Koch and S. Ullman. Shifts in selective visual attention: towards the underlying neural circuitry. Human Neurobiology, 1985. 1
    • (1985) Human Neurobiology
    • Koch, C.1    Ullman, S.2
  • 14
    • 84864039864 scopus 로고    scopus 로고
    • Saliency based on information maximization
    • 1, 2, 6, 7
    • N.D.B. Bruce and J.K. Tsotsos. Saliency based on information maximization. NIPS, 2005. 1, 2, 6, 7
    • (2005) NIPS
    • Bruce, N.D.B.1    Tsotsos, J.K.2
  • 15
    • 84866697151 scopus 로고    scopus 로고
    • Discriminant saliency, the detection of suspicious coincidences and applications to visual recognition
    • 1
    • D. Gao, S. Han, and N. Vasconcelos. Discriminant saliency, the detection of suspicious coincidences and applications to visual recognition. IEEE PAMI,2009. 1
    • (2009) IEEE PAMI
    • Gao, D.1    Han, S.2    Vasconcelos, N.3
  • 16
    • 35148814949 scopus 로고    scopus 로고
    • Saliency detection: A spectral residual approach
    • 1
    • X. Hou and L. Zhang. Saliency detection: A spectral residual approach. CVPR, 2007. 1
    • (2007) CVPR
    • Hou, X.1    Zhang, L.2
  • 17
    • 70449568029 scopus 로고    scopus 로고
    • Dynamic visual attention: Searching for coding length increments
    • 1, 7
    • X. Hou and L. Zhang. Dynamic visual attention: Searching for coding length increments. NIPS, 2008. 1, 7
    • (2008) NIPS
    • Hou, X.1    Zhang, L.2
  • 18
    • 33750341577 scopus 로고    scopus 로고
    • Contextual guidance of attention in natural scenes: The role of global features on object search
    • 1, 2, 3
    • A. Torralba, A. Oliva,M. Castelhano and J. M. Henderson. Contextual guidance of attention in natural scenes: The role of global features on object search. Psychological Review, 2006. 1, 2, 3
    • (2006) Psychological Review
    • Torralba, A.1    Oliva, A.2    Castelhano, M.3    Henderson, J.M.4
  • 19
    • 58149506125 scopus 로고    scopus 로고
    • SUN: A Bayesian framework for saliency using natural statistics
    • 1, 2, 7
    • L. Zhang, M. H. Tong, T. K. Marks, H. Shan, and G. W. Cottrell, SUN: A Bayesian framework for saliency using natural statistics. J. Vis., 2008. 1, 2, 7
    • (2008) J. Vis.
    • Zhang, L.1    Tong, M.H.2    Marks, T.K.3    Shan, H.4    Cottrell, G.W.5
  • 20
    • 77950364024 scopus 로고    scopus 로고
    • Static and space-time visual saliency detection by selfresemblance
    • 7
    • H. Seo and P. Milanfar. Static and space-time visual saliency detection by selfresemblance .Journal of Vision, 2009. 7
    • (2009) Journal of Vision
    • Seo, H.1    Milanfar, P.2
  • 21
    • 84866717644 scopus 로고    scopus 로고
    • ESaliency: Meaningful attention using stochastic image modeling
    • 1
    • T. Avraham, M. Lindenbaum. ESaliency: Meaningful attention using stochastic image modeling. PAMI, 2010. 1
    • (2010) PAMI
    • Avraham, T.1    Lindenbaum, M.2
  • 22
    • 33845566741 scopus 로고    scopus 로고
    • An integrated model of top-down and bottom-up attention for optimizing detection speed
    • 1, 2
    • V. Navalpakkam and L. Itti. An integrated model of top-down and bottom-up attention for optimizing detection speed.CVPR,2006. 1, 2
    • (2006) CVPR
    • Navalpakkam, V.1    Itti, L.2
  • 24
    • 85156217966 scopus 로고    scopus 로고
    • Graph-based visual saliency
    • 7
    • J. Harel, C. Koch, and P. Perona. Graph-based visual saliency. NIPS, 2006. 7
    • (2006) NIPS
    • Harel, J.1    Koch, C.2    Perona, P.3
  • 25
    • 39749136581 scopus 로고    scopus 로고
    • What can saliency models predict about eye movements? spatial and sequential aspects of fixations during encoding and recognition
    • 1
    • T. Foulsham and G. Underwood. What can saliency models predict about eye movements? spatial and sequential aspects of fixations during encoding and recognition. J. of Vision, 8:1-17, 2008. 1
    • (2008) J. of Vision , vol.8 , pp. 1-17
    • Foulsham, T.1    Underwood, G.2
  • 26
    • 39749119941 scopus 로고    scopus 로고
    • Task-demands can immediately reverse the effects of sensory-driven saliency in complex visual stimuli
    • 1
    • W. Einhauser, U. Rutishauser, and C. Koch. Task-demands can immediately reverse the effects of sensory-driven saliency in complex visual stimuli. J. of Vision, 2008. 1
    • (2008) J. of Vision
    • Einhauser, W.1    Rutishauser, U.2    Koch, C.3
  • 28
    • 0037047130 scopus 로고    scopus 로고
    • Rapid natural scene categorization in the near absence of attention
    • 1
    • F. Li, R. VanRullen, C. Koch, and P. Perona. Rapid natural scene categorization in the near absence of attention. PNAS, 2002. 1
    • (2002) PNAS
    • Li, F.1    Vanrullen, R.2    Koch, C.3    Perona, P.4
  • 29
    • 0021700041 scopus 로고
    • Visual routines
    • 2
    • S. Ullman. Visual routines. Cognition, 18:97-157, 1984. 2
    • (1984) Cognition , vol.18 , pp. 97-157
    • Ullman, S.1
  • 30
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • 3, 7
    • N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. CVPR, 2005. 3, 7
    • (2005) CVPR
    • Dalal, N.1    Triggs, B.2
  • 31
    • 36448979181 scopus 로고    scopus 로고
    • The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor bases and image feature distributions
    • 5, 7
    • B.W. Tatler. The central fixation bias in scene viewing: selecting an optimal viewing position independently of motor bases and image feature distributions. J. of Vision. 14(7):1-17, 2007. 5, 7
    • (2007) J. of Vision , vol.14 , Issue.7 , pp. 1-17
    • Tatler, B.W.1
  • 32
    • 36949030203 scopus 로고    scopus 로고
    • Scene completion using millions of photographs
    • 2
    • J. Hays, A.A. Efros. Scene completion using millions of photographs. SIGGRAPH, 2007. 2
    • (2007) SIGGRAPH
    • Hays, J.1    Efros, A.A.2
  • 33
    • 2942687330 scopus 로고    scopus 로고
    • When is scene identification just texture recognition?
    • 3
    • L. Renniger and J. Malik. When is scene identification just texture recognition? Vision Research, 2004. 3
    • (2004) Vision Research
    • Renniger, L.1    Malik, J.2
  • 34
    • 20544446875 scopus 로고    scopus 로고
    • Components of bottom-up gaze allocation in natural images
    • 6
    • R. Peters, A. Iyer, L. Itti, and C. Koch. Components of bottom-up gaze allocation in natural images. Vision Res., 45, 2005. 6
    • (2005) Vision Res. , vol.45
    • Peters, R.1    Iyer, A.2    Itti, L.3    Koch, C.4
  • 36
    • 77955987477 scopus 로고    scopus 로고
    • Visual recognition and detection under bounded computational resources
    • 1
    • S. Vijayanarasimhan and A. Kapoor. Visual recognition and detection under bounded computational resources. CVPR, 2010. 1
    • (2010) CVPR
    • Vijayanarasimhan, S.1    Kapoor, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.