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Volumn 6494 LNCS, Issue PART 3, 2011, Pages 448-459

Identifying surprising events in videos using bayesian topic models

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC PROCESSING; BAYESIAN; CLOSED-FORM EXPRESSION; DATA SETS; DIRICHLET PRIOR; HUMAN USERS; LATENT DIRICHLET ALLOCATION; OBSERVED DATA; TOPIC MODEL; URBAN STREETS; VIDEO CONTENTS; VIDEO DATA; VIDEO EVENTS; VIDEO MINING; WORLD MODEL;

EID: 79952510777     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-19318-7_35     Document Type: Conference Paper
Times cited : (11)

References (20)
  • 2
    • 70349309538 scopus 로고    scopus 로고
    • Driven by compression progress: A simple principle explains essential aspects of subjective beauty, novelty, surprise, interestingness, attention, curiosity, creativity, art, science, music, jokes
    • Pezzulo, G., Butz, M.V., Sigaud, O., Baldassarre, G. (eds.), Springer, Heidelberg
    • Schmidhuber, J.: Driven by compression progress: A simple principle explains essential aspects of subjective beauty, novelty, surprise, interestingness, attention, curiosity, creativity, art, science, music, jokes. In: Pezzulo, G., Butz, M.V., Sigaud, O., Baldassarre, G. (eds.) Anticipatory Behavior in Adaptive Learning Systems. LNCS, vol. 5499, pp. 48-76. Springer, Heidelberg (2009)
    • (2009) Anticipatory Behavior in Adaptive Learning Systems. LNCS , vol.5499 , pp. 48-76
    • Schmidhuber, J.1
  • 3
    • 34247614190 scopus 로고    scopus 로고
    • Detecting irregularities in images and in video
    • DOI 10.1007/s11263-006-0009-9, Special Section: Marr Prize and Honorable Mentions at ICCV 2005
    • Boiman, O., Irani, M.: Detecting irregularities in images and in video. International Journal of Computer Vision 74, 17-31 (2007) (Pubitemid 46673101)
    • (2007) International Journal of Computer Vision , vol.74 , Issue.1 , pp. 17-31
    • Boiman, O.1    Irani, M.2
  • 5
    • 70350371441 scopus 로고    scopus 로고
    • Bayesian surprise and landmark detection
    • Ranganathan, A., Dellaert, F.: Bayesian surprise and landmark detection. In: ICRA, pp. 2017-2023 (2009)
    • (2009) ICRA , pp. 2017-2023
    • Ranganathan, A.1    Dellaert, F.2
  • 6
    • 85085175172 scopus 로고    scopus 로고
    • A markov clustering topic model for mining behaviour in video
    • Hospedales, T., Gong, S., Xiang, T.: A markov clustering topic model for mining behaviour in video. In: ICCV (2009)
    • (2009) ICCV
    • Hospedales, T.1    Gong, S.2    Xiang, T.3
  • 7
    • 34948904825 scopus 로고    scopus 로고
    • Unsupervised activity perception by hierarchical bayesian models
    • Wang, X., Ma, X., Grimson, E.: Unsupervised activity perception by hierarchical bayesian models. In: CVPR (2007)
    • (2007) CVPR
    • Wang, X.1    Ma, X.2    Grimson, E.3
  • 8
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • Lowe, D.G.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60, 91-110 (2004)
    • (2004) International Journal of Computer Vision , vol.60 , pp. 91-110
    • Lowe, D.G.1
  • 9
    • 33745155436 scopus 로고    scopus 로고
    • A bayesian hierarchical model for learning natural scene categories
    • Fei-Fei, L., Perona, P.: A bayesian hierarchical model for learning natural scene categories. In: CVPR, vol. (2), pp. 524-531 (2005)
    • (2005) CVPR , vol.2 , pp. 524-531
    • Fei-Fei, L.1    Perona, P.2
  • 12
    • 45049084813 scopus 로고    scopus 로고
    • Unsupervised learning of human action categories using spatial-temporal words
    • Niebles, J.C., Wang, H., Fei-Fei, L.: Unsupervised learning of human action categories using spatial-temporal words. International Journal of Computer Vision 79, 299-318 (2008)
    • (2008) International Journal of Computer Vision , vol.79 , pp. 299-318
    • Niebles, J.C.1    Wang, H.2    Fei-Fei, L.3
  • 13
    • 72349088534 scopus 로고    scopus 로고
    • Clustered synopsis of surveillance video
    • Pritch, Y., Ratovitch, S., Hendel, A., Peleg, S.: Clustered synopsis of surveillance video. In: AVSS, pp. 195-200 (2009)
    • (2009) AVSS , pp. 195-200
    • Pritch, Y.1    Ratovitch, S.2    Hendel, A.3    Peleg, S.4
  • 15
    • 70450214829 scopus 로고    scopus 로고
    • Hierarchical spatiotemporal context modeling for action recognition
    • Sun, J., Wu, X., Yan, S., Cheong, L.F., Chua, T.S., Li, J.: Hierarchical spatiotemporal context modeling for action recognition. In: CVPR, pp. 2004-2011 (2009)
    • (2009) CVPR , pp. 2004-2011
    • Sun, J.1    Wu, X.2    Yan, S.3    Cheong, L.F.4    Chua, T.S.5    Li, J.6
  • 16
    • 9444259451 scopus 로고    scopus 로고
    • Latent dirichlet allocation
    • Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. In: NIPS, pp. 601-608 (2001)
    • (2001) NIPS , pp. 601-608
    • Blei, D.M.1    Ng, A.Y.2    Jordan, M.I.3
  • 17
    • 11244330002 scopus 로고    scopus 로고
    • Probabilistic latent semantic analysis
    • Hofmann, T.: Probabilistic latent semantic analysis. In: UAI, pp. 289-296 (1999)
    • (1999) UAI , pp. 289-296
    • Hofmann, T.1
  • 18
    • 0033225865 scopus 로고    scopus 로고
    • Introduction to variational methods for graphical models
    • DOI 10.1023/A:1007665907178
    • Jordan, M.I., Ghahramani, Z., Jaakkola, T., Saul, L.K.: An introduction to variational methods for graphical models. Machine Learning 37, 183-233 (1999) (Pubitemid 30544678)
    • (1999) Machine Learning , vol.37 , Issue.2 , pp. 183-233
    • Jordan, M.I.1    Ghahramani, Z.2    Jaakkola, T.S.3    Saul, L.K.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.