메뉴 건너뛰기




Volumn 2, Issue , 2006, Pages 1605-1612

Using multiple segmentations to discover objects and their extent in image collections

Author keywords

[No Author keywords available]

Indexed keywords

DATASETS; DISCOVERY MODELS; STATISTICAL TEXT ANALYSIS;

EID: 33845596932     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2006.326     Document Type: Conference Paper
Times cited : (575)

References (28)
  • 4
    • 0030719604 scopus 로고    scopus 로고
    • Robust analysis of feature spaces: Color image segmentation
    • D. Comaniciu and P. Meer. Robust analysis of feature spaces: Color image segmentation. In Proc. CVPR, 1997.
    • (1997) Proc. CVPR
    • Comaniciu, D.1    Meer, P.2
  • 6
    • 0038401728 scopus 로고    scopus 로고
    • Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary
    • P. Duygulu, K. Barnard, J. F. G. de Freitas, and D. A. Forsyth. Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary. In Proc. ECCV, 2002.
    • (2002) Proc. ECCV
    • Duygulu, P.1    Barnard, K.2    De Freitas, J.F.G.3    Forsyth, D.A.4
  • 7
    • 33745155436 scopus 로고    scopus 로고
    • A bayesian hierarchical model for learning natural scene categories
    • L. Fei-Fei and P. Perona. A bayesian hierarchical model for learning natural scene categories. In Proc. CVPR, 2005.
    • (2005) Proc. CVPR
    • Fei-Fei, L.1    Perona, P.2
  • 9
    • 0041940256 scopus 로고    scopus 로고
    • Object class recognition by unsupervised scale-invariant learning
    • R. Fergus, P. Perona, and A. Zisserman. Object class recognition by unsupervised scale-invariant learning. In Proc. CVPR, 2003.
    • (2003) Proc. CVPR
    • Fergus, R.1    Perona, P.2    Zisserman, A.3
  • 10
    • 84949940637 scopus 로고    scopus 로고
    • On affine invariant clustering and automatic cast listing in movies
    • Springer-Verlag
    • A. W. Fitzgibbon and A. Zisserman. On affine invariant clustering and automatic cast listing in movies. In Proc. ECCV, volume 3, pages 304-320. Springer-Verlag, 2002.
    • (2002) Proc. ECCV , vol.3 , pp. 304-320
    • Fitzgibbon, A.W.1    Zisserman, A.2
  • 12
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • T. Hofmann. Unsupervised learning by probabilistic latent semantic analysis. Machine Learning, 43:177-196, 2001.
    • (2001) Machine Learning , vol.43 , pp. 177-196
    • Hofmann, T.1
  • 14
    • 33845564547 scopus 로고    scopus 로고
    • http://www.robots.ox.ac.uk/~vgg/research/affine/.
  • 15
    • 0033284915 scopus 로고    scopus 로고
    • Object recognition from local scale-invariant features
    • Sep
    • D. Lowe. Object recognition from local scale-invariant features. In Proc. ICCV, pages 1150-1157, Sep 1999.
    • (1999) Proc. ICCV , pp. 1150-1157
    • Lowe, D.1
  • 16
    • 84939652549 scopus 로고    scopus 로고
    • Learning to detect natural image boundaries using brightness and texture
    • D. Martin, C. Fowlkes, and J. Malik. Learning to detect natural image boundaries using brightness and texture. In NIPS, 2002.
    • (2002) NIPS
    • Martin, D.1    Fowlkes, C.2    Malik, J.3
  • 18
    • 33745835982 scopus 로고    scopus 로고
    • LabelMe: A database and Web-based tool for image annotation
    • Technical report
    • B. C. Russell, A. Torralba, K. P. Murphy, and W. T. Freeman. LabelMe: a database and web-based tool for image annotation. Technical report, MIT AI Lab Memo AIM-2005-025, 2005.
    • (2005) MIT AI Lab Memo , vol.AIM-2005-025
    • Russell, B.C.1    Torralba, A.2    Murphy, K.P.3    Freeman, W.T.4
  • 19
    • 0035686651 scopus 로고    scopus 로고
    • Segmentation and boundary detection using multiscale intensity measurements
    • pages I:469-476
    • E. Sharon, A. Brandt, and R. Basri. Segmentation and boundary detection using multiscale intensity measurements. In Proc. CVPR, pages I:469-476, 2001.
    • (2001) Proc. CVPR
    • Sharon, E.1    Brandt, A.2    Basri, R.3
  • 20
    • 0030646927 scopus 로고    scopus 로고
    • Normalized cuts and image segmentation
    • J. Shi and J. Malik. Normalized cuts and image segmentation. In Proc. CVPR, pages 731-743, 1997.
    • (1997) Proc. CVPR , pp. 731-743
    • Shi, J.1    Malik, J.2
  • 22
    • 0345414182 scopus 로고    scopus 로고
    • Video Google: A text retrieval approach to object matching in videos
    • Oct
    • J. Sivic and A. Zisserman. Video Google: A text retrieval approach to object matching in videos. In Proc. ICCV, Oct 2003.
    • (2003) Proc. ICCV
    • Sivic, J.1    Zisserman, A.2
  • 23
    • 5044234908 scopus 로고    scopus 로고
    • Video data mining using configurations of viewpoint invariant regions
    • J. Sivic and A. Zisserman. Video data mining using configurations of viewpoint invariant regions. In Proc. CVPR, 2004.
    • (2004) Proc. CVPR
    • Sivic, J.1    Zisserman, A.2
  • 26
    • 0036566199 scopus 로고    scopus 로고
    • Image segmentation by data-driven markov chain monte carlo
    • Z. W. Tu and S. C. Zhu. Image segmentation by data-driven markov chain monte carlo. IEEE PAMI, 24(5):657-673, 2002.
    • (2002) IEEE PAMI , vol.24 , Issue.5 , pp. 657-673
    • Tu, Z.W.1    Zhu, S.C.2
  • 27
    • 33745913325 scopus 로고    scopus 로고
    • Object categorization by learned universal visual dictionary
    • J. Winn, A. Criminisi, and T. Minka. Object categorization by learned universal visual dictionary. In Proc. ICCV, 2005.
    • (2005) Proc. ICCV
    • Winn, J.1    Criminisi, A.2    Minka, T.3
  • 28
    • 33745948591 scopus 로고    scopus 로고
    • Locus: Learning object classes with unsupervised segmentation
    • J. Winn and N. Jojic. Locus: Learning object classes with unsupervised segmentation. In Proc. ICCV, 2005.
    • (2005) Proc. ICCV
    • Winn, J.1    Jojic, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.