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Volumn , Issue , 2013, Pages 1193-1200

Event recognition in photo collections with a stopwatch HMM

Author keywords

[No Author keywords available]

Indexed keywords

HIDDEN MARKOV MODELS;

EID: 84898811062     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.151     Document Type: Conference Paper
Times cited : (54)

References (30)
  • 5
    • 5044231131 scopus 로고    scopus 로고
    • Bayesian fusion of camera metadata cues in semantic scene classification
    • M. Boutell. Bayesian fusion of camera metadata cues in semantic scene classification. In CVPR, 2004.
    • (2004) In CVPR
    • Boutell, M.1
  • 6
    • 70350662970 scopus 로고    scopus 로고
    • Annotating photo collections by label propagation according to multiple similarity cues
    • L. Cao, J. Luo, and T. S. Huang. Annotating photo collections by label propagation according to multiple similarity cues. In MM, 2008.
    • (2008) In MM
    • Cao, L.1    Luo, J.2    Huang, T.S.3
  • 7
    • 59049093475 scopus 로고    scopus 로고
    • Image annotation within the context of personal photo collections using hierarchical event and scene models
    • L. Cao, J. Luo, H. Kautz, and T. S. Huang. Image annotation within the context of personal photo collections using hierarchical event and scene models. IEEE Transactions on Multimedia, 11, 2009.
    • (2009) IEEE Transactions on Multimedia , pp. 11
    • Cao, L.1    Luo, J.2    Kautz, H.3    Huang, T.S.4
  • 9
    • 84866706750 scopus 로고    scopus 로고
    • Real-time facial feature detection using conditional regression forests
    • M. Dantone, J. Gall, G. Fanelli, and L. Van Gool. Real-time facial feature detection using conditional regression forests. In CVPR, 2012.
    • (2012) In CVPR
    • Dantone, M.1    Gall, J.2    Fanelli, G.3    Van Gool, L.4
  • 10
    • 84898405815 scopus 로고    scopus 로고
    • Recognizing activities with cluster-trees of tracklets
    • A. Gaidon, Z. Harchaoui, and C. Schmid. Recognizing activities with cluster-trees of tracklets. In BMVC, 2012.
    • (2012) In BMVC
    • Gaidon, A.1    Harchaoui, Z.2    Schmid, C.3
  • 12
    • 84887479105 scopus 로고    scopus 로고
    • Recognizing complex events using large margin joint low-level event model
    • H. Izadinia and M. Shah. Recognizing complex events using large margin joint low-level event model. In ECCV, 2012.
    • (2012) In ECCV
    • Izadinia, H.1    Shah, M.2
  • 13
    • 70349425850 scopus 로고    scopus 로고
    • Dlib-ml: A machine learning toolkit
    • D. E. King. Dlib-ml: A machine learning toolkit. JMLR, 10, 2009.
    • (2009) JMLR , pp. 10
    • King, D.E.1
  • 14
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • J. Lafferty, A. McCallum, and F. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML, 2001.
    • (2001) In ICML
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 15
    • 33845572523 scopus 로고    scopus 로고
    • Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
    • S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR, 2006.
    • (2006) In CVPR
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 16
    • 50649103674 scopus 로고    scopus 로고
    • What, where and who? Classifying events by scene and object recognition
    • L. Li-Jia and L. Fei-Fei. What, where and who? Classifying events by scene and object recognition. In ICCV, 2007.
    • (2007) In ICCV
    • Li-Jia, L.1    Fei-Fei, L.2
  • 18
  • 19
    • 84911387011 scopus 로고    scopus 로고
    • Image labeling on a network: Using social-network metadata for image classification
    • J. McAuley and J. Leskovec. Image labeling on a network: using social-network metadata for image classification. In ECCV, 2012.
    • (2012) In ECCV
    • McAuley, J.1    Leskovec, J.2
  • 22
    • 34948903793 scopus 로고    scopus 로고
    • Object retrieval with large vocabularies and fast spatial matching
    • J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. Object retrieval with large vocabularies and fast spatial matching. In CVPR, 2007.
    • (2007) In CVPR
    • Philbin, J.1    Chum, O.2    Isard, M.3    Sivic, J.4    Zisserman, A.5
  • 25
    • 84866658784 scopus 로고    scopus 로고
    • Learning latent temporal structure for complex event detection
    • K. Tang, L. Fei-Fei, and D. Koller. Learning latent temporal structure for complex event detection. In CVPR, 2012.
    • (2012) In CVPR
    • Tang, K.1    Fei-Fei, L.2    Koller, D.3
  • 26
    • 84455201946 scopus 로고    scopus 로고
    • Compositional object pattern: A new model for album event recognition
    • S.-F. Tsai, L. Cao, F. Tang, and T. S. Huang. Compositional object pattern: a new model for album event recognition. In MM, 2011.
    • (2011) In MM
    • Tsai, S.-F.1    Cao, L.2    Tang, F.3    Huang, T.S.4
  • 28
    • 71149086466 scopus 로고    scopus 로고
    • Learning structural SVMs with latent variables
    • C.-N. J. Yu and T. Joachims. Learning structural SVMs with latent variables. In ICML, 2009.
    • (2009) In ICML
    • Yu, C.-N.J.1    Joachims, T.2
  • 29
    • 70449609151 scopus 로고    scopus 로고
    • Mining GPS traces and visual words for event classification
    • J. Yuan, J. Luo, H. Kautz, and Y. Wu. Mining GPS traces and visual words for event classification. In MIR, 2008.
    • (2008) In MIR
    • Yuan, J.1    Luo, J.2    Kautz, H.3    Wu, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.