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Volumn , Issue , 2009, Pages 932-939

Quantifying contextual information for object detection

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXT ANNOTATION; CONTEXT INFERENCE; CONTEXT MODELS; CONTEXT REPRESENTATION; CONTEXTUAL INFORMATION; DATA SETS; DESCRIPTORS; MAXIMUM MARGIN; MINIMIZATION PROBLEMS; MODELLING FRAMEWORK; OBJECT DETECTION; RISK FUNCTION; SCENE SEGMENTATION;

EID: 77953207512     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2009.5459344     Document Type: Conference Paper
Times cited : (18)

References (25)
  • 2
    • 0029681342 scopus 로고
    • Spatial context in recognition
    • M. Bar and S. Ullman. Spatial context in recognition. Perception, 25:343-352, 1993.
    • (1993) Perception , vol.25 , pp. 343-352
    • Bar, M.1    Ullman, S.2
  • 4
    • 0020120019 scopus 로고
    • Scene perception: Detecting and judging objects undergoing relational violations
    • I. Biederman, R. J. Mezzanotte, and J. C. Rabinowitz. Scene perception: Detecting and judging objects undergoing relational violations. Cognitive Psychology, 14:143-177, 1982.
    • (1982) Cognitive Psychology , vol.14 , pp. 143-177
    • Biederman, I.1    Mezzanotte, R.J.2    Rabinowitz, J.C.3
  • 6
    • 24144486461 scopus 로고    scopus 로고
    • A statistical model for general contextual object recognition
    • P. Carbonetto, N. de Freitas, and K. Barnard. A statistical model for general contextual object recognition. In ECCV, 2004.
    • (2004) ECCV
    • Carbonetto, P.1    De Freitas, N.2    Barnard, K.3
  • 7
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
    • (2005) CVPR
    • Dalal, N.1    Triggs, B.2
  • 9
    • 0742286179 scopus 로고    scopus 로고
    • Spectral grouping using the nystrom method
    • C. Fowlkes, S. Belongie, F. Chung, and J. Malik. Spectral grouping using the nystrom method. PAMI, 26(2):214-225, 2004.
    • (2004) PAMI , vol.26 , Issue.2 , pp. 214-225
    • Fowlkes, C.1    Belongie, S.2    Chung, F.3    Malik, J.4
  • 10
    • 51949110976 scopus 로고    scopus 로고
    • Object categorization using co-occurrence, location and appearance
    • C. Galleguillos, A. Rabinovich, and S. Belongie. Object categorization using co-occurrence, location and appearance. In CVPR, 2008.
    • (2008) CVPR
    • Galleguillos, C.1    Rabinovich, A.2    Belongie, S.3
  • 11
    • 70450155469 scopus 로고    scopus 로고
    • Beyond nouns: Exploiting prepositions and comparative adjectives for learning visual classifier
    • A. Gupta and L. S. Davis. Beyond nouns: exploiting prepositions and comparative adjectives for learning visual classifier. In ECCV, 2008.
    • (2008) ECCV
    • Gupta, A.1    Davis, L.S.2
  • 12
    • 70449582001 scopus 로고    scopus 로고
    • Learning spatial context: Using stuff to find things
    • G. Heitz and D. Koller. Learning spatial context: Using stuff to find things. In ECCV, 2008.
    • (2008) ECCV
    • Heitz, G.1    Koller, D.2
  • 13
    • 33745848658 scopus 로고    scopus 로고
    • A hierarchical field framework for unified context-based classification
    • S. Kumar and M. Hebert. A hierarchical field framework for unified context-based classification. In ICCV, 2005.
    • (2005) ICCV
    • Kumar, S.1    Hebert, M.2
  • 14
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 2(60):91-110, 2004.
    • (2004) IJCV , vol.2 , Issue.60 , pp. 91-110
    • Lowe, D.1
  • 15
    • 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, and W. Freeman. Using the forest to see the tree: a graphical model relating features, objects and the scenes. In NIPS, 2003.
    • (2003) NIPS
    • Murphy, K.1    Torralba, A.2    Freeman, W.3
  • 16
    • 77953222676 scopus 로고    scopus 로고
    • Context driven focus of attention for object detection
    • R. Perko and A. Leonardis. Context driven focus of attention for object detection. In WAPCV, 2007.
    • (2007) WAPCV
    • Perko, R.1    Leonardis, A.2
  • 17
    • 77953207075 scopus 로고    scopus 로고
    • Probabilistic combination of visual context based attention and object detection
    • R. Perko, C. Wojek, B. Schiele, and A. Leonardis. Probabilistic combination of visual context based attention and object detection. In WAPCV, 2008.
    • (2008) WAPCV
    • Perko, R.1    Wojek, C.2    Schiele, B.3    Leonardis, A.4
  • 19
    • 0345414167 scopus 로고    scopus 로고
    • Learning a classification model for segmentation
    • X. Ren and J. Malik. Learning a classification model for segmentation. In ICCV, 2003.
    • (2003) ICCV
    • Ren, X.1    Malik, J.2
  • 22
    • 18344412139 scopus 로고    scopus 로고
    • Probabilistic spatial context models for scene content understanding
    • A. Singhal, J. Luo, and W. Zhu. Probabilistic spatial context models for scene content understanding. In CVPR, 2003.
    • (2003) CVPR
    • Singhal, A.1    Luo, J.2    Zhu, W.3
  • 23
    • 0037500818 scopus 로고    scopus 로고
    • Contextual priming for object detection
    • A. Torralba. Contextual priming for object detection. IJCV, 53(2), 2003.
    • (2003) IJCV , vol.53 , Issue.2
    • Torralba, A.1
  • 24
    • 0344120278 scopus 로고    scopus 로고
    • Context-based vision system for place and object recognition
    • A. Torralba, K. Murphy, W. Freeman, and M. Rubin. Context-based vision system for place and object recognition. In ICCV, 2003.
    • (2003) ICCV
    • Torralba, A.1    Murphy, K.2    Freeman, W.3    Rubin, M.4
  • 25
    • 33744510605 scopus 로고    scopus 로고
    • A critical view of context
    • L. Wolf and S. Bileschi. A critical view of context. IJCV, 69(2), 2006.
    • (2006) IJCV , vol.69 , Issue.2
    • Wolf, L.1    Bileschi, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.