메뉴 건너뛰기




Volumn , Issue , 2013, Pages 517-524

Multiple kernel learning for emotion recognition in the wild

Author keywords

bag of words; feature fusion; multimodal; multiple kernel learning; support vector machine

Indexed keywords

AUDIO FEATURES; BAG OF WORDS; EMOTION RECOGNITION; FEATURE FUSION; MULTI-MODAL; MULTI-MODAL INTERACTIONS; MULTIPLE KERNEL LEARNING; PARALINGUISTIC;

EID: 84892615820     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2522848.2531741     Document Type: Conference Paper
Times cited : (96)

References (54)
  • 1
    • 84880127587 scopus 로고    scopus 로고
    • Multiple dictionaries for bag of words large scale image search
    • M. Aly, M. Munich, and P. Perona. Multiple dictionaries for bag of words large scale image search. Probe, 1(D1):P1, 2011.
    • (2011) Probe , vol.1 , Issue.D1
    • Aly, M.1    Munich, M.2    Perona, P.3
  • 8
    • 85161973596 scopus 로고    scopus 로고
    • Multi-label multiple kernel learning by stochastic approximation: Application to visual object recognition
    • S. Bucak, R. Jin, and A. K. Jain. Multi-label multiple kernel learning by stochastic approximation: Application to visual object recognition. In Advances in Neural Information Processing Systems, pages 325-333, 2010.
    • (2010) Advances in Neural Information Processing Systems , pp. 325-333
    • Bucak, S.1    Jin, R.2    Jain, A.K.3
  • 11
    • 84898420173 scopus 로고    scopus 로고
    • The devil is in the details: An evaluation of recent feature encoding methods
    • K. Chatfield, V. Lempitsky, A. Vedaldi, and A. Zisserman. The devil is in the details: an evaluation of recent feature encoding methods. BMVC, 2011.
    • (2011) BMVC
    • Chatfield, K.1    Lempitsky, V.2    Vedaldi, A.3    Zisserman, A.4
  • 12
    • 84898031305 scopus 로고    scopus 로고
    • Feature detection and tracking with constrained local models
    • D. Cristinacce and T. F. Cootes. Feature detection and tracking with constrained local models. In BMVC, volume 17, pages 929-938, 2006.
    • (2006) BMVC , vol.17 , pp. 929-938
    • Cristinacce, D.1    Cootes, T.F.2
  • 17
    • 84866094334 scopus 로고    scopus 로고
    • A semi-automatic method for collecting richly labelled large facial expression databases from movies
    • A. Dhall, R. Goecke, S. Lucey, and T. Gedeon. A semi-automatic method for collecting richly labelled large facial expression databases from movies. IEEE Multimedia, 19:34-41, 2012.
    • (2012) IEEE Multimedia , vol.19 , pp. 34-41
    • Dhall, A.1    Goecke, R.2    Lucey, S.3    Gedeon, T.4
  • 29
    • 49049108892 scopus 로고    scopus 로고
    • Blur insensitive texture classification using local phase quantization
    • A. Elmoataz, O. Lezoray, F. Nouboud, and D. Mammass, editors, Image and Signal Processing, Springer Berlin Heidelberg
    • V. Ojansivu and J. Heikkilä. Blur insensitive texture classification using local phase quantization. In A. Elmoataz, O. Lezoray, F. Nouboud, and D. Mammass, editors, Image and Signal Processing, volume 5099 of Lecture Notes in Computer Science, pages 236-243. Springer Berlin Heidelberg, 2008.
    • (2008) Lecture Notes in Computer Science , vol.5099 , pp. 236-243
    • Ojansivu, V.1    Heikkilä, J.2
  • 30
    • 33749236045 scopus 로고    scopus 로고
    • Building the gist of a scene: The role of global image features in recognition
    • A. Oliva and A. Torralba. Building the gist of a scene: The role of global image features in recognition. Progress in brain research, 155:23-36, 2006.
    • (2006) Progress in Brain Research , vol.155 , pp. 23-36
    • Oliva, A.1    Torralba, A.2
  • 31
    • 79957520780 scopus 로고    scopus 로고
    • Volume local phase quantization for blur-insensitive dynamic texture classification
    • A. Heyden and F. Kahl, editors, Image Analysis, Springer Berlin Heidelberg
    • J. Päivärinta, E. Rahtu, and J. Heikkilä. Volume local phase quantization for blur-insensitive dynamic texture classification. In A. Heyden and F. Kahl, editors, Image Analysis, volume 6688 of Lecture Notes in Computer Science, pages 360-369. Springer Berlin Heidelberg, 2011.
    • (2011) Lecture Notes in Computer Science , vol.6688 , pp. 360-369
    • Päivärinta, J.1    Rahtu, E.2    Heikkilä, J.3
  • 38
    • 21944433750 scopus 로고    scopus 로고
    • Multimodal approaches for emotion recognition: A survey
    • S. Santini, R. Schettini, and T. Gevers, editors, Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Dec
    • N. Sebe, I. Cohen, T. Gevers, and T. S. Huang. Multimodal approaches for emotion recognition: a survey. In S. Santini, R. Schettini, and T. Gevers, editors, Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, volume 5670 of Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, pages 56-67, Dec. 2004.
    • (2004) Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series , vol.5670 , pp. 56-67
    • Sebe, N.1    Cohen, I.2    Gevers, T.3    Huang, T.S.4
  • 40
    • 84867697336 scopus 로고    scopus 로고
    • Exploring bag of words architectures in the facial expression domain
    • A. Fusiello, V. Murino, and R. Cucchiara, editors, Computer Vision ECCV 2012. Workshops and Demonstrations, Springer Berlin Heidelberg
    • K. Sikka, T. Wu, J. Susskind, and M. Bartlett. Exploring bag of words architectures in the facial expression domain. In A. Fusiello, V. Murino, and R. Cucchiara, editors, Computer Vision ECCV 2012. Workshops and Demonstrations, volume 7584 of Lecture Notes in Computer Science, pages 250-259. Springer Berlin Heidelberg, 2012.
    • (2012) Lecture Notes in Computer Science , vol.7584 , pp. 250-259
    • Sikka, K.1    Wu, T.2    Susskind, J.3    Bartlett, M.4
  • 41
    • 0032638628 scopus 로고    scopus 로고
    • Least squares support vector machine classifiers
    • J. A. Suykens and J. Vandewalle. Least squares support vector machine classifiers. Neural processing letters, 9(3):293-300, 1999.
    • (1999) Neural Processing Letters , vol.9 , Issue.3 , pp. 293-300
    • Suykens, J.A.1    Vandewalle, J.2
  • 48
    • 57549087458 scopus 로고    scopus 로고
    • Low-level fusion of audio, video feature for multi-modal emotion recognition
    • M. Wimmer, B. Schuller, D. Arsic, G. Rigoll, and B. Radig. Low-level fusion of audio, video feature for multi-modal emotion recognition. In VISAPP (2), pages 145-151, 2008.
    • (2008) VISAPP (2) , pp. 145-151
    • Wimmer, M.1    Schuller, B.2    Arsic, D.3    Rigoll, G.4    Radig, B.5
  • 49
    • 84887383859 scopus 로고    scopus 로고
    • Supervised descent method and its applications to face alignment
    • X. Xiong and F. De la Torre. Supervised descent method and its applications to face alignment. CVPR, 2013.
    • (2013) CVPR
    • Xiong, X.1    De La Torre, F.2
  • 53
    • 34247557079 scopus 로고    scopus 로고
    • Dynamic texture recognition using local binary patterns with an application to facial expressions
    • G. Zhao and M. Pietikainen. Dynamic texture recognition using local binary patterns with an application to facial expressions. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 29(6):915-928, 2007.
    • (2007) Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.29 , Issue.6 , pp. 915-928
    • Zhao, G.1    Pietikainen, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.