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Volumn 114, Issue 6, 2010, Pages 712-722

Context based object categorization: A critical survey

Author keywords

Computer vision systems; Context; Object categorization; Object recognition

Indexed keywords

COMPUTER VISION; INFORMATION USE; LEARNING SYSTEMS; SEMANTICS;

EID: 78651403274     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2010.02.004     Document Type: Article
Times cited : (311)

References (38)
  • 1
    • 3543006596 scopus 로고    scopus 로고
    • Visual objects in context
    • M. Bar, Visual objects in context, Nature Reviews Neuroscience 5 (8) (2004) 617-629. (Pubitemid 39013593)
    • (2004) Nature Reviews Neuroscience , vol.5 , Issue.8 , pp. 617-629
    • Bar, M.1
  • 2
    • 0029681342 scopus 로고    scopus 로고
    • Spatial context in recognition
    • M. Bar, S. Ullman, Spatial context in recognition, Perception 25 (1993) 343- 352. (Pubitemid 126695534)
    • (1996) Perception , vol.25 , Issue.3 , pp. 343-352
    • Bar, M.1    Ullman, S.2
  • 3
    • 0015496840 scopus 로고
    • Perceiving real-world scenes
    • I. Biederman, Perceiving real-world scenes, Science 177 (7) (1972) 77-80.
    • (1972) Science , vol.177 , Issue.7 , pp. 77-80
    • Biederman, I.1
  • 4
    • 0020120019 scopus 로고
    • Scene perception: Detecting and judging objects undergoing relational violations
    • I. Biederman, R.J. Mezzanotte, J.C. Rabinowitz, Scene perception: Detecting and judging objects undergoing relational violations, Cognitive Psychology 14 (2) (1982) 143-177.
    • (1982) Cognitive Psychology , vol.14 , Issue.2 , pp. 143-177
    • Biederman, I.1    Mezzanotte, R.J.2    Rabinowitz, J.C.3
  • 5
    • 0034844730 scopus 로고    scopus 로고
    • Interactive graph cuts for optimal boundary and region segmentation of objects in n-d images
    • Y. Boykov, M. Jolly, Interactive graph cuts for optimal boundary and region segmentation of objects in n-d images, ICCV, 2001.
    • (2001) ICCV
    • Boykov, Y.1    Jolly, M.2
  • 6
    • 24144486461 scopus 로고    scopus 로고
    • A statistical model for general contextual object recognition
    • P. Carbonetto, N. de Freitas, K. Barnard, A statistical model for general contextual object recognition, ECCV, 2004.
    • (2004) ECCV
    • Carbonetto, P.1    De Freitas, N.2    Barnard, K.3
  • 7
    • 33744519992 scopus 로고    scopus 로고
    • Mutual boosting for contextual inference
    • M. Fink, P. Perona, Mutual boosting for contextual inference, in: NIPS, vol. 16, 2003.
    • (2003) NIPS , vol.16
    • Fink, M.1    Perona, P.2
  • 8
    • 0015567825 scopus 로고
    • The representation and matching of pictorial structures
    • M. Fischler, R. Elschlager, The representation and matching of pictorial structures, IEEE Transactions on Computers 100 (22) (1973) 67-92.
    • (1973) IEEE Transactions on Computers , vol.100 , Issue.22 , pp. 67-92
    • Fischler, M.1    Elschlager, R.2
  • 9
    • 0031211090 scopus 로고    scopus 로고
    • A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
    • Y. Freund, R.E. Schapire, A decision-theoretic generalization of on-line learning and an application to boosting, Journal of Computer and System Sciences 55 (1997) 119-139. (Pubitemid 127433398)
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 11
    • 51949110976 scopus 로고    scopus 로고
    • Object categorization using coocurrence location and appearance
    • C. Galleguillos, A. Rabinovich, S. Belongie, Object categorization using coocurrence location and appearance, CVPR, 2008.
    • (2008) CVPR
    • Galleguillos, C.1    Rabinovich, A.2    Belongie, S.3
  • 12
    • 0001470484 scopus 로고
    • Visions: A computer vision system for interpreting scenes
    • A. Hanson, E. Riseman, Visions: A computer vision system for interpreting scenes, Computer Vision Systems (1978) 303-334.
    • (1978) Computer Vision Systems , pp. 303-334
    • Hanson, A.1    Riseman, E.2
  • 13
    • 5044223520 scopus 로고    scopus 로고
    • Multiscale Conditional random fields for image labeling
    • X. He, R.S. Zemel, M.A. Carreira-Perpinan, Multiscale conditional random fields for image labeling, CVPR, 2004.
    • (2004) CVPR
    • He, X.1    Zemel, R.S.2    Carreira-Perpinan, M.A.3
  • 14
    • 0013344078 scopus 로고    scopus 로고
    • Training products of experts by minimizing contrastive divergence
    • G. Hinton, Training products of experts by minimizing contrastive divergence, Neural Computation 14 (8) (2002) 1771-1800.
    • (2002) Neural Computation , vol.14 , Issue.8 , pp. 1771-1800
    • Hinton, G.1
  • 15
    • 33749593695 scopus 로고    scopus 로고
    • Using local context to improve face detection
    • H. Kruppa, B. Schiele, Using local context to improve face detection, BMVC, 2003.
    • (2003) BMVC
    • Kruppa, H.1    Schiele, B.2
  • 16
    • 33745848658 scopus 로고    scopus 로고
    • A hierarchical field framework for unified context-based classification
    • S. Kumar, M. Hebert, A hierarchical field framework for unified context-based classification, ICCV, 2005.
    • (2005) ICCV
    • Kumar, S.1    Hebert, M.2
  • 17
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • J. Lafferty, A. McCallum, F. Pereira, Conditional random fields: probabilistic models for segmenting and labeling sequence data, ICML, 2001.
    • (2001) ICML
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 18
    • 70449353934 scopus 로고
    • Markov random field modeling in computer vision
    • Springer
    • S. Li, Markov random field modeling in computer vision, Computer Science Workbench Series, Springer, 1995. p. 264.
    • (1995) Computer Science Workbench Series , pp. 264
    • Li, S.1
  • 19
    • 0030654850 scopus 로고    scopus 로고
    • Sinha Configuration based scene classification and image indexing
    • P. Lipson, E. Grimson, P. Sinha Configuration based scene classification and image indexing, CVPR, 1997.
    • (1997) CVPR
    • Lipson, P.1    Grimson, E.2
  • 20
    • 24644462948 scopus 로고    scopus 로고
    • Using the forest to see the tree: A graphical model relating features, objects and the scenes
    • K. Murphy, A. Torralba, W. Freeman, Using the forest to see the tree: A graphical model relating features, objects and the scenes, NIPS, 2003.
    • (2003) NIPS
    • Murphy, K.1    Torralba, A.2    Freeman, W.3
  • 21
    • 49449122735 scopus 로고
    • Forest before trees: The precedence of global features in visual perception
    • D. Navon, Forest before trees: The precedence of global features in visual perception, Cognitive Psychology 9 (3) (1977) 353-383.
    • (1977) Cognitive Psychology , vol.9 , Issue.3 , pp. 353-383
    • Navon, D.1
  • 23
    • 0001502603 scopus 로고
    • The effects of contextual scenes on the identification of objects
    • S.E. Palmer, The effects of contextual scenes on the identification of objects, Memory and Cognition (1975).
    • (1975) Memory and Cognition
    • Palmer, S.E.1
  • 24
    • 51949087935 scopus 로고    scopus 로고
    • From appearance to context-based recognition: Dense labeling in small images
    • D. Parikh, L. Zitnick, T. Chen, From appearance to context-based recognition: Dense labeling in small images, CVPR, 2008.
    • (2008) CVPR
    • Parikh, D.1    Zitnick, L.2    Chen, T.3
  • 26
    • 0008734185 scopus 로고    scopus 로고
    • To see or not to see: The Need for Attention to Perceive Changes in Scenes
    • R. Rensink, J. ORegan, J. Clark, The need for attention to perceive changes in scenes, Psychological Science 8 (5) (1997) 368-373. (Pubitemid 127455296)
    • (1997) Psychological Science , vol.8 , Issue.5 , pp. 368-373
    • Rensink, R.A.1    O'Regan, J.K.2    Clark, J.J.3
  • 30
    • 58149168385 scopus 로고    scopus 로고
    • Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling appearance, shape and context
    • J. Shotton, J. Winn, C. Rother, A. Criminisi, Textonboost for image understanding: multi-class object recognition and segmentation by jointly modeling appearance, shape and context, International Journal of Computer Vision (2007) 1-22.
    • (2007) International Journal of Computer Vision , pp. 1-22
    • Shotton, J.1    Winn, J.2    Rother, C.3    Criminisi, A.4
  • 31
    • 18344412139 scopus 로고    scopus 로고
    • Probabilistic spatial context models for scene content understanding
    • A. Singhal, J. Luo, W. Zhu, Probabilistic spatial context models for scene content understanding, CVPR, 2003.
    • (2003) CVPR
    • Singhal, A.1    Luo, J.2    Zhu, W.3
  • 32
    • 4243156059 scopus 로고    scopus 로고
    • Detecting faces in impoverished images
    • P. Sinha, A. Torralba, Detecting faces in impoverished images, Journal of Vision 2 (7) (2002) 601.
    • (2002) Journal of Vision , vol.2 , Issue.7 , pp. 601
    • Sinha, P.1    Torralba, A.2
  • 33
    • 0026244369 scopus 로고
    • Context-based vision: Recognizing objects using information from both 2-d and 3-d imagery
    • T. Strat, M. Fischler, Context-based vision: Recognizing objects using information from both 2-d and 3-d imagery, Pattern Analysis and Machine Vision 13 (10) (1991) 1050-1065.
    • (1991) Pattern Analysis and Machine Vision , vol.13 , Issue.10 , pp. 1050-1065
    • Strat, T.1    Fischler, M.2
  • 34
    • 0344120278 scopus 로고    scopus 로고
    • Context-based vision system for place and objectrecognition
    • A. Torralba, K. Murphy, W. Freeman, M.A. Rubin, Context-based vision system for place and objectrecognition, ICCV, 2003.
    • (2003) ICCV
    • Torralba, A.1    Murphy, K.2    Freeman, W.3    Rubin, M.A.4
  • 35
    • 33745888873 scopus 로고    scopus 로고
    • Contextual models for object detection using boosted random fields
    • A. Torralba, K. Murphy, W. Freeman, Contextual models for object detection using boosted random fields, NIPS, 2004.
    • (2004) NIPS
    • Torralba, A.1    Murphy, K.2    Freeman, W.3
  • 37
    • 58349114205 scopus 로고    scopus 로고
    • Scene segmentation with CRFs learned from partially labeled images
    • J. Verbeek, B. Triggs, Scene segmentation with CRFs learned from partially labeled images, in: NIPS, vol. 11, 2008.
    • (2008) NIPS , vol.11
    • Verbeek, J.1    Triggs, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.