메뉴 건너뛰기




Volumn 2, Issue January, 2014, Pages 1341-1349

Submodular attribute selection for action recognition in video

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; INFORMATION SCIENCE; OPTIMIZATION;

EID: 84937922733     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (45)

References (37)
  • 3
    • 84877773116 scopus 로고    scopus 로고
    • Selecting diverse features via spectral regularization
    • A. Das, A. Dasgupta, and R. Kumar. Selecting diverse features via spectral regularization. In NIPS, 2012.
    • (2012) NIPS
    • Das, A.1    Dasgupta, A.2    Kumar, R.3
  • 4
    • 33846622081 scopus 로고    scopus 로고
    • Behavior recognition via sparse spatio-temporal features
    • P. Dollar, V. Rabaud, G. Cottrell, and S. Belongie. Behavior recognition via sparse spatio-temporal features. In VS-PETS, 2005.
    • (2005) VS-PETS
    • Dollar, P.1    Rabaud, V.2    Cottrell, G.3    Belongie, S.4
  • 7
    • 51949109604 scopus 로고    scopus 로고
    • Action recognition by learning mid-level motion features
    • A. Fathi and G. Mori. Action recognition by learning mid-level motion features. In CVPR, 2008.
    • (2008) CVPR
    • Fathi, A.1    Mori, G.2
  • 9
    • 84897505165 scopus 로고    scopus 로고
    • Fast semidifferential-based submodular function optimization
    • R. Iyer, S. Jegelka, and J. Bilmes. Fast semidifferential-based submodular function optimization. In ICML, 2013.
    • (2013) ICML
    • Iyer, R.1    Jegelka, S.2    Bilmes, J.3
  • 10
    • 84887337772 scopus 로고    scopus 로고
    • Representing videos using mid-level discriminative patches
    • A. Jain, A. Gupta, M. Rodriguez, and L. Davis. Representing videos using mid-level discriminative patches. In CVPR, 2013.
    • (2013) CVPR
    • Jain, A.1    Gupta, A.2    Rodriguez, M.3    Davis, L.4
  • 11
    • 84946057385 scopus 로고    scopus 로고
    • Label consistent K-SVD: Learning a discriminative dictionary for recognition
    • Z. Jiang, Z. Lin, and L. S. Davis. Label consistent K-SVD: Learning a discriminative dictionary for recognition. In PAMI, 2013.
    • (2013) PAMI
    • Jiang, Z.1    Lin, Z.2    Davis, L.S.3
  • 12
    • 77956509091 scopus 로고    scopus 로고
    • Submodular dictionary selection for sparse representation
    • A. Krause and V. Cevher. Submodular dictionary selection for sparse representation. In ICML, 2010.
    • (2010) ICML
    • Krause, A.1    Cevher, V.2
  • 13
    • 31844450884 scopus 로고    scopus 로고
    • Near-optimal sensor placements in Gaussian processes
    • A. Krause, A. Singh, C. Guestrin, and C. Williams. Near-optimal sensor placements in gaussian processes. In ICML, 2005.
    • (2005) ICML
    • Krause, A.1    Singh, A.2    Guestrin, C.3    Williams, C.4
  • 14
    • 70450172710 scopus 로고    scopus 로고
    • Learning to detect unseen object classes by between-class attribute transfer
    • C. H. Lampert, H. Nickisch, and S. Harmeling. Learning to detect unseen object classes by between-class attribute transfer. In CVPR, 2009.
    • (2009) CVPR
    • Lampert, C.H.1    Nickisch, H.2    Harmeling, S.3
  • 15
    • 0344551869 scopus 로고    scopus 로고
    • Space-time interest points
    • I. Laptev and T. Lindeberg. Space-time interest points. In ICCV, 2003.
    • (2003) ICCV
    • Laptev, I.1    Lindeberg, T.2
  • 17
    • 84877778010 scopus 로고    scopus 로고
    • Recognizing activities by attribute dynamics
    • W. Li and N. Vasconcelos. Recognizing activities by attribute dynamics. In NIPS, 2012.
    • (2012) NIPS
    • Li, W.1    Vasconcelos, N.2
  • 18
    • 84859070008 scopus 로고    scopus 로고
    • A class of submodular functions for document summarization
    • H. Lin and J. Bilmes. A class of submodular functions for document summarization. In Proceedings of ACL, 2011.
    • (2011) Proceedings of ACL
    • Lin, H.1    Bilmes, J.2
  • 19
    • 80052876739 scopus 로고    scopus 로고
    • Recognizing actions by shape-motion prototype trees
    • Z. Lin, Z. Jiang, and L. S. Davis. Recognizing actions by shape-motion prototype trees. In CVPR, 2009.
    • (2009) CVPR
    • Lin, Z.1    Jiang, Z.2    Davis, L.S.3
  • 20
    • 80052915325 scopus 로고    scopus 로고
    • Recognizing human actions by attributes
    • J. Liu, B. Kuipers, and S. Savarese. Recognizing human actions by attributes. In CVPR, 2011.
    • (2011) CVPR
    • Liu, J.1    Kuipers, B.2    Savarese, S.3
  • 21
    • 70450170628 scopus 로고    scopus 로고
    • Learning semantic visual vocabularies using diffusion distance
    • J. Liu, Y. Yang, and M. Shah. Learning semantic visual vocabularies using diffusion distance. In CVPR, 2009.
    • (2009) CVPR
    • Liu, J.1    Yang, Y.2    Shah, M.3
  • 22
    • 84890385880 scopus 로고    scopus 로고
    • Entropy-rate clustering: Cluster analysis via maximizing a submodular function subject to a matroid constraint
    • M.-Y. Liu, O. Tuzel, S. Ramalingam, and R. Chellappa. Entropy-rate clustering: Cluster analysis via maximizing a submodular function subject to a matroid constraint. In PAMI, 2014.
    • (2014) PAMI
    • Liu, M.-Y.1    Tuzel, O.2    Ramalingam, S.3    Chellappa, R.4
  • 23
    • 84890455727 scopus 로고    scopus 로고
    • Submodular feature selection for high-dimensional acoustic score spaces
    • Y. Liu, K. Wei, K. Kirchhoff, Y. Song, and J. Bilmes. Submodular feature selection for high-dimensional acoustic score spaces. In ICASSP, 2013.
    • (2013) ICASSP
    • Liu, Y.1    Wei, K.2    Kirchhoff, K.3    Song, Y.4    Bilmes, J.5
  • 25
    • 80052874353 scopus 로고    scopus 로고
    • Modeling temporal structure of decomposable motion segments for activity classification
    • J. C. Niebles, C. wei Chen, and L. Fei-fei. Modeling temporal structure of decomposable motion segments for activity classification. In ECCV, 2010.
    • (2010) ECCV
    • Niebles, J.C.1    Wei Chen, C.2    Fei-Fei, L.3
  • 26
    • 79959771606 scopus 로고    scopus 로고
    • Improving the fisher kernel for large-scale image classification
    • F. Perronnin, J. Sánchez, and T. Mensink. Improving the fisher kernel for large-scale image classification. In ECCV, 2010.
    • (2010) ECCV
    • Perronnin, F.1    Sánchez, J.2    Mensink, T.3
  • 27
    • 84866661728 scopus 로고    scopus 로고
    • Discovering discriminative action parts from mid-level video representations
    • M. Raptis, I. Kokkinos, and S. Soatto. Discovering discriminative action parts from mid-level video representations. In CVPR, 2012.
    • (2012) CVPR
    • Raptis, M.1    Kokkinos, I.2    Soatto, S.3
  • 28
    • 79958707658 scopus 로고    scopus 로고
    • Tracklet descriptors for action modeling and video analysis
    • M. Raptis and S. Soatto. Tracklet descriptors for action modeling and video analysis. In ECCV, 2010.
    • (2010) ECCV
    • Raptis, M.1    Soatto, S.2
  • 29
    • 84866718894 scopus 로고    scopus 로고
    • Action bank: A high-level representation of activity in video
    • S. Sadanand and J. Corso. Action bank: A high-level representation of activity in video. In CVPR, 2012.
    • (2012) CVPR
    • Sadanand, S.1    Corso, J.2
  • 30
    • 84904972001 scopus 로고    scopus 로고
    • UCF101: A dataset of 101 human action classes from videos in the wild
    • K. Soomro, A. R. Zamir, and M. Shah. UCF101: A dataset of 101 human action classes from videos in the wild. In CRCV-TR-12-01, 2012.
    • (2012) CRCV-TR-12-01
    • Soomro, K.1    Zamir, A.R.2    Shah, M.3
  • 31
    • 85047019092 scopus 로고    scopus 로고
    • An online algorithm for maximizing submodular functions
    • M. Streeter and D. Golovin. An online algorithm for maximizing submodular functions. In NIPS, 2008.
    • (2008) NIPS
    • Streeter, M.1    Golovin, D.2
  • 32
    • 84866658784 scopus 로고    scopus 로고
    • Learning latent temporal structure for complex event detection
    • K. D. Tang, F.-F. Li, and D. Koller. Learning latent temporal structure for complex event detection. In CVPR, 2012.
    • (2012) CVPR
    • Tang, K.D.1    Li, F.-F.2    Koller, D.3
  • 34
    • 84898805910 scopus 로고    scopus 로고
    • Action recognition with improved trajectories
    • H. Wang and C. Schmid. Action recognition with improved trajectories. In ICCV, 2013.
    • (2013) ICCV
    • Wang, H.1    Schmid, C.2
  • 35
    • 70450216856 scopus 로고    scopus 로고
    • Max-margin hidden conditional random fields for human action recognition
    • Y. Wang and G. Mori. Max-margin hidden conditional random fields for human action recognition. In CVPR, 2009.
    • (2009) CVPR
    • Wang, Y.1    Mori, G.2
  • 36
    • 84941256763 scopus 로고    scopus 로고
    • Towards good practices for action video encoding
    • J. Wu, Y. Zhang, and W. Lin. Towards good practices for action video encoding. In ICCV, 2013.
    • (2013) ICCV
    • Wu, J.1    Zhang, Y.2    Lin, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.