메뉴 건너뛰기




Volumn , Issue , 2011, Pages 699-706

Inferring social relations from visual concepts

Author keywords

[No Author keywords available]

Indexed keywords

CO-OCCURRENCE STATISTICS; HOLISTIC MODEL; PROBABILISTIC GRAPHICAL MODELS; SOCIAL INTERACTIONS; SOCIAL NETWORK ANALYSIS; SOCIAL RELATIONS; SOCIAL STRUCTURE; TEMPORAL SMOOTHING; VIDEO CONTENTS; VISUAL CONCEPT; YOUTUBE;

EID: 84856674878     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2011.6126306     Document Type: Conference Paper
Times cited : (36)

References (26)
  • 1
    • 70450173435 scopus 로고    scopus 로고
    • Histograms of oriented optical flow and binet-cauchy kernels on nonlinear dynamical systems for the recognition of human actions
    • 7
    • R. Chaudhry, A. Ravichandran, G. Hager, and R. Vidal. Histograms of oriented optical flow and binet-cauchy kernels on nonlinear dynamical systems for the recognition of human actions. In CVPR, 2009. 7
    • (2009) CVPR
    • Chaudhry, R.1    Ravichandran, A.2    Hager, G.3    Vidal, R.4
  • 2
    • 36849005505 scopus 로고    scopus 로고
    • Evolutionary spectral clustering by incorporating temporal smoothness
    • 6
    • Y. Chi, X. Song, D. Zhou, K. Hino, and B. L. Tseng. Evolutionary spectral clustering by incorporating temporal smoothness. In KDD, 2007. 6
    • (2007) KDD
    • Chi, Y.1    Song, X.2    Zhou, D.3    Hino, K.4    Tseng, B.L.5
  • 4
    • 78149352803 scopus 로고    scopus 로고
    • Graph based event detection from realistic videos using weak feature correspondence
    • 1
    • L. Ding, Q. Fan, J. Hsiao, and S. Pankanti. Graph based event detection from realistic videos using weak feature correspondence. In ICASSP, 2010. 1
    • (2010) ICASSP
    • Ding, L.1    Fan, Q.2    Hsiao, J.3    Pankanti, S.4
  • 5
    • 84856636550 scopus 로고    scopus 로고
    • Learning relations among movie characters: A social network perspective
    • 1, 2, 3, 5, 6
    • L. Ding and A. Yilmaz. Learning relations among movie characters: A social network perspective. In ECCV, 2010. 1, 2, 3, 5, 6
    • (2010) ECCV
    • Ding, L.1    Yilmaz, A.2
  • 6
    • 77956003629 scopus 로고    scopus 로고
    • Visual event recognition in videos by learning from web data
    • 1
    • L. Duan, D. Xu, I.W. Tsang, and J. Luo. Visual event recognition in videos by learning from web data. In CVPR, 2010. 1
    • (2010) CVPR
    • Duan, L.1    Xu, D.2    Tsang, I.W.3    Luo, J.4
  • 7
    • 70349313631 scopus 로고    scopus 로고
    • Inferring social network structure using mobile phone data
    • 2
    • N. Eagle, A. Pentland, and D. Lazer. Inferring social network structure using mobile phone data. PNAS, 106(36):15274-15278, 2009. 2
    • (2009) PNAS , vol.106 , Issue.36 , pp. 15274-15278
    • Eagle, N.1    Pentland, A.2    Lazer, D.3
  • 8
    • 0000764772 scopus 로고
    • The use ofmultiplemeasurements in taxonomic problems
    • 3
    • R. A. Fisher. The use ofmultiplemeasurements in taxonomic problems. Annals of Eugenics, 7:179-188, 1936. 3
    • (1936) Annals of Eugenics , vol.7 , pp. 179-188
    • Fisher, R.A.1
  • 9
    • 77951153793 scopus 로고    scopus 로고
    • Automatically detecting the small group structure of a crowd
    • 2
    • W. Ge, R. Collins, and B. Ruback. Automatically detecting the small group structure of a crowd. In WACV, 2009. 2
    • (2009) WACV
    • Ge, W.1    Collins, R.2    Ruback, B.3
  • 10
    • 8644228268 scopus 로고    scopus 로고
    • Locality preserving projections
    • 3
    • X. He and P. Niyogi. Locality preserving projections. In NIPS, 2003. 3
    • (2003) NIPS
    • He, X.1    Niyogi, P.2
  • 13
    • 33745012299 scopus 로고    scopus 로고
    • Modularity and community structure in networks
    • 2
    • M. E. J. Newman. Modularity and community structure in networks. PNAS, 103(23):8577-8582, 2006. 2
    • (2006) PNAS , vol.103 , Issue.23 , pp. 8577-8582
    • Newman, M.E.J.1
  • 15
    • 0041438822 scopus 로고    scopus 로고
    • Scene detection in hollywood movies and tv shows
    • 3
    • Z. Rasheed and M. Shah. Scene detection in hollywood movies and tv shows. In CVPR, 2003. 3
    • (2003) CVPR
    • Rasheed, Z.1    Shah, M.2
  • 16
    • 4043137356 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • 3
    • A. J. Smola and B. Schölkopf. A tutorial on support vector regression. Statistics and Computing, 14(3):199-222, 2004. 3
    • (2004) Statistics and Computing , vol.14 , Issue.3 , pp. 199-222
    • Smola, A.J.1    Schölkopf, B.2
  • 17
    • 34249086815 scopus 로고    scopus 로고
    • Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis
    • 3
    • M. Sugiyama. Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis. Journal of Machine Learning Research, 8:1027-1061, 2007. 3
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 1027-1061
    • Sugiyama, M.1
  • 18
    • 84856676211 scopus 로고    scopus 로고
    • Seeing people in social context: Recognizing people and social relationships
    • 1
    • G. Wang, A. Gallagher, J. Luo, and D. Forsyth. Seeing people in social context: Recognizing people and social relationships. In ECCV, 2010. 1
    • (2010) ECCV
    • Wang, G.1    Gallagher, A.2    Luo, J.3    Forsyth, D.4
  • 19
    • 85026939101 scopus 로고    scopus 로고
    • Quasi-periodic event analysis for social game retrieval
    • 1
    • P.Wang, G. D. Abowd, and J.M. Rehg. Quasi-periodic event analysis for social game retrieval. In ICCV, 2009. 1
    • (2009) ICCV
    • Wang, P.1    Abowd, G.D.2    Rehg, J.M.3
  • 21
    • 59149085671 scopus 로고    scopus 로고
    • Rolenet: Movie analysis from the perspective of social networks
    • 1, 2
    • C.-Y. Weng, W.-T. Chu, and J.-L. Wu. Rolenet: Movie analysis from the perspective of social networks. IEEE Transac-tions on Multimedia, 11(2):256-271, 2009. 1, 2
    • (2009) IEEE Transac-tions on Multimedia , vol.11 , Issue.2 , pp. 256-271
    • Weng, C.-Y.1    Chu, W.-T.2    Wu, J.-L.3
  • 22
    • 34948823856 scopus 로고    scopus 로고
    • Visual event recognition in news video using kernel methods with multi-level temporal alignment
    • 1, 3
    • D. Xu and S.-F. Chang. Visual event recognition in news video using kernel methods with multi-level temporal alignment. In CVPR, 2007. 1, 3
    • (2007) CVPR
    • Xu, D.1    Chang, S.-F.2
  • 24
    • 72749125852 scopus 로고    scopus 로고
    • A bayesian approach toward finding communities and their evolutions in dynamic social networks
    • 2, 4
    • T. Yang, Y. Chi, S. Zhu, Y. Gong, and R. Jin. A bayesian approach toward finding communities and their evolutions in dynamic social networks. In SDM, 2009. 2, 4
    • (2009) SDM
    • Yang, T.1    Chi, Y.2    Zhu, S.3    Gong, Y.4    Jin, R.5
  • 25
    • 70450177794 scopus 로고    scopus 로고
    • Monitoring, recognizing and discovering social networks
    • 1, 2
    • T. Yu, S.-N. Lim, K. Patwardhan, and N. Krahnstoever. Monitoring, recognizing and discovering social networks. In CVPR, 2009. 1, 2
    • (2009) CVPR
    • Yu, T.1    Lim, S.-N.2    Patwardhan, K.3    Krahnstoever, N.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.