메뉴 건너뛰기




Volumn 2, Issue , 2015, Pages 1348-1357

Complex event detection using semantic saliency and nearly-isotonic SVM

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; SEMANTICS;

EID: 84969822870     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (63)

References (38)
  • 3
    • 84905580784 scopus 로고    scopus 로고
    • Proximal alternating linearized minimization for nonconvex and nonsmooth problems
    • 2, 5
    • Bolte, Jérôme, Sabach, Shoham, and Teboulle, Marc. Proximal alternating linearized minimization for nonconvex and nonsmooth problems. Mathematical Programming, Series A, 146:459-494, 2014. 2, 5
    • (2014) Mathematical Programming, Series A , vol.146 , pp. 459-494
    • Bolte, J.1    Sabach, S.2    Teboulle, M.3
  • 4
    • 84867850412 scopus 로고    scopus 로고
    • Scene aligned pooling for complex video recognition
    • 1, 2
    • Cao, Liangliang, Mu, Yadong, Natsev, Apostol, et al. Scene aligned pooling for complex video recognition. In ECCV, pp. 688-701, 2012. 1, 2
    • (2012) ECCV , pp. 688-701
    • Cao, L.1    Mu, Y.2    Natsev, A.3
  • 5
    • 0035608644 scopus 로고    scopus 로고
    • Local extremes, runs, strings and multiresolution
    • 6
    • Davies, P. L. and Kovac, A. Local extremes, runs, strings and multiresolution. The Annals of Statistics, 29(1): 1-65, 2001. 6
    • (2001) The Annals of Statistics , vol.29 , Issue.1 , pp. 1-65
    • Davies, P.L.1    Kovac, A.2
  • 6
    • 79959766559 scopus 로고    scopus 로고
    • Consumer video understanding: A benchmark database and an evaluation of human and machine performance
    • 7
    • Jiang, Yu-Gang, Ye, Guangnan, Chang, Shih-Fu, Ellis, Daniel P. W., and Loui, Alexander C. Consumer video understanding: A benchmark database and an evaluation of human and machine performance. In ICMR, pp. 29:1-29:8, 2011. 7
    • (2011) ICMR , pp. 1-8
    • Jiang, Y.-G.1    Ye, G.2    Chang, S.-F.3    Ellis, D.P.W.4    Loui, A.C.5
  • 7
    • 84911364368 scopus 로고    scopus 로고
    • Large-scale video classification with convolutional neural networks
    • 2, 8
    • Karpathy, Andrej, Toderici, George, Shetty, Sanketh, et al. Large-scale video classification with convolutional neural networks. In CVPR, pp. 1725-1732, 2014. 2, 8
    • (2014) CVPR , pp. 1725-1732
    • Karpathy, A.1    Toderici, G.2    Shetty, S.3
  • 8
    • 0022388528 scopus 로고
    • Shifts in selective visual attention: Towards the underlying neural circuitry
    • 2
    • Koch, Christof and Ullman, Shimon. Shifts in selective visual attention: Towards the underlying neural circuitry. Human Neurobiology, 4:219-227, 1985. 2
    • (1985) Human Neurobiology , vol.4 , pp. 219-227
    • Koch, C.1    Ullman, S.2
  • 9
    • 84906508190 scopus 로고    scopus 로고
    • Recognizing complex events in-videos by learning key static-dynamic evidences
    • 3, 8
    • Lai, Kuan-Ting, Liu, Dong, Chen, Ming-Syan, and Chang, Shih-Fu. Recognizing complex events in-videos by learning key static-dynamic evidences. In ECCV, pp. 675-688, 2014. 3, 8
    • (2014) ECCV , pp. 675-688
    • Lai, K.-T.1    Liu, D.2    Chen, M.-S.3    Chang, S.-F.4
  • 10
    • 70450172710 scopus 로고    scopus 로고
    • Learning to detect unseen object classes by between-class attribute transfer
    • 4
    • Lampert, Christoph H., Nickisch, Hannes, and Harmeling, Stefan. Learning to detect unseen object classes by between-class attribute transfer. In CVPR, 2009. 4
    • (2009) CVPR
    • Lampert, C.H.1    Nickisch, H.2    Harmeling, S.3
  • 12
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • 6
    • Lee, Daniel D and Seung, H Sebastian. Learning the parts of objects by non-negative matrix factorization. Nature, 401:788-791, 1999. 6
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 13
    • 84866723224 scopus 로고    scopus 로고
    • Discovering important people and objects for egocentric video summarization
    • 2
    • Lee, Yong Jae, Ghosh, Joydeep, and Grauman, Kristen. Discovering important people and objects for egocentric video summarization. In CVPR, pp. 1346-1353, 2012. 2
    • (2012) CVPR , pp. 1346-1353
    • Lee, Y.J.1    Ghosh, J.2    Grauman, K.3
  • 14
    • 84898811014 scopus 로고    scopus 로고
    • Dynamic pooling for complex event recognition
    • 1, 2, 8
    • Li, Weixin, Yu, Qian, Divakaran, Ajay, and Vasconcelos, Nuno. Dynamic pooling for complex event recognition. In ICCV, pp. 2728-2735, 2013. 1, 2, 8
    • (2013) ICCV , pp. 2728-2735
    • Li, W.1    Yu, Q.2    Divakaran, A.3    Vasconcelos, N.4
  • 16
    • 84867855153 scopus 로고    scopus 로고
    • Local expert forest of score fusion for video event classification
    • 2
    • Liu, Jingchen, McCloskey, Scott, and Liu, Yanxi. Local expert forest of score fusion for video event classification. In European Conference on Computer Vision (ECCV), pp. 397-410, 2012. 2
    • (2012) European Conference on Computer Vision (ECCV) , pp. 397-410
    • Liu, J.1    McCloskey, S.2    Liu, Y.3
  • 17
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • 2
    • Lowe, David G. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004. 2
    • (2004) International Journal of Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 18
    • 84898956512 scopus 로고    scopus 로고
    • Distributed representations of words and phrases and their compositionality
    • 2, 3
    • Mikolov, Tomas, Sutskever, Ilya, Chen, Kai, Corrado, Gregory S., and Dean, Jeffrey. Distributed representations of words and phrases and their compositionality. In NIPS, pp. 3111-3119, 2013. 2, 3
    • (2013) NIPS , pp. 3111-3119
    • Mikolov, T.1    Sutskever, I.2    Chen, K.3    Corrado, G.S.4    Dean, J.5
  • 19
    • 84866712341 scopus 로고    scopus 로고
    • Multimodal feature fusion for robust event detection in web videos
    • 2
    • Natarajan, Pradeep, Wu, Shuang, Vitaladevuni, Shiv, et al. Multimodal feature fusion for robust event detection in web videos. In CVPR, pp. 1298-1305, 2012. 2
    • (2012) CVPR , pp. 1298-1305
    • Natarajan, P.1    Wu, S.2    Vitaladevuni, S.3
  • 22
    • 84898791167 scopus 로고    scopus 로고
    • Action and event recognition with Fisher vectors on a compact feature set
    • 2
    • OneaţǍ, Dan, Verbeek, Jakob, and Schmid, Cordelia. Action and event recognition with Fisher vectors on a compact feature set. In ICCV, pp. 1817-1824, 2013. 2
    • (2013) ICCV , pp. 1817-1824
    • OneaţǍ, D.1    Verbeek, J.2    Schmid, C.3
  • 23
    • 78149316189 scopus 로고    scopus 로고
    • Segmenting salient objects from images and videos
    • 2
    • Rahtu, Esa, Kannala, Juho, Salo, Mikko, and Heikkila, Janne. Segmenting salient objects from images and videos. In ECCV, pp. 366-379, 2010. 2
    • (2010) ECCV , pp. 366-379
    • Rahtu, E.1    Kannala, J.2    Salo, M.3    Heikkila, J.4
  • 24
    • 84898775557 scopus 로고    scopus 로고
    • Video event understanding using natural language descriptions
    • 3
    • Ramanathan, Vignesh, Liang, Percy, and Li, Fei-Fei. Video event understanding using natural language descriptions. In ICCV, pp. 905-912, 2013. 3
    • (2013) ICCV , pp. 905-912
    • Ramanathan, V.1    Liang, P.2    Li, F.-F.3
  • 27
    • 84924949081 scopus 로고    scopus 로고
    • Two-stream convolutional networks for action recognition in videos
    • 2
    • Simonyan, Karen and Zisserman, Andrew. Two-stream convolutional networks for action recognition in videos. In NIPS, 2013. 2
    • (2013) NIPS
    • Simonyan, K.1    Zisserman, A.2
  • 28
    • 85083953063 scopus 로고    scopus 로고
    • Very deep convolutional networks for large-scale image recognition
    • 3, 7
    • Simonyan, Karen and Zisserman, Andrew. Very deep convolutional networks for large-scale image recognition. In ICLR, 2015. 3, 7
    • (2015) ICLR
    • Simonyan, K.1    Zisserman, A.2
  • 29
    • 84866707906 scopus 로고    scopus 로고
    • Evaluation of low-level features and their combinations for complex event detection in open source videos
    • 2
    • Tamrakar, Amir, Ali, Saad, Yu, Qian, et al. Evaluation of low-level features and their combinations for complex event detection in open source videos. In CVPR, pp. 3681-3688, 2012. 2
    • (2012) CVPR , pp. 3681-3688
    • Tamrakar, A.1    Ali, S.2    Yu, Q.3
  • 30
    • 84866658784 scopus 로고    scopus 로고
    • Learning latent temporal structure for complex event detection
    • 3, 8
    • Tang, Kevin, Li, Fei-Fei, and Koller, Daphne. Learning latent temporal structure for complex event detection. In CVPR, pp. 1250-1257, 2012. 3, 8
    • (2012) CVPR , pp. 1250-1257
    • Tang, K.1    Li, F.-F.2    Koller, D.3
  • 31
    • 84898827877 scopus 로고    scopus 로고
    • Combining the right features for complex event recognition
    • 2
    • Tang, Kevin, Yao, Bangpeng, Li, Fei-Fei, and Koller, Daphne. Combining the right features for complex event recognition. In ICCV, pp. 2696-2703, 2013. 2
    • (2013) ICCV , pp. 2696-2703
    • Tang, K.1    Yao, B.2    Li, F.-F.3    Koller, D.4
  • 33
    • 84898817119 scopus 로고    scopus 로고
    • Compositional models for video event detection: A multiple kernel learning latent variable approach
    • 2
    • Vahdat, Arash, Cannons, Kevin, Mori, Greg, Oh, Sangmin, and Kim, Ilseo. Compositional models for video event detection: A multiple kernel learning latent variable approach. In ICCV, pp. 1185-1192, 2013. 2
    • (2013) ICCV , pp. 1185-1192
    • Vahdat, A.1    Cannons, K.2    Mori, G.3    Oh, S.4    Kim, I.5
  • 34
    • 84898805910 scopus 로고    scopus 로고
    • Action recognition with improved trajectories
    • 2
    • Wang, Heng and Schmid, Cordelia. Action recognition with improved trajectories. In ICCV, pp. 3551-3558, 2013. 2
    • (2013) ICCV , pp. 3551-3558
    • Wang, H.1    Schmid, C.2
  • 35
    • 84866045483 scopus 로고    scopus 로고
    • Feature grouping and selection over an undirected graph
    • 4, 5, 8
    • Yang, Sen, Yuan, Lei, Lai, Ying-Cheng, et al. Feature grouping and selection over an undirected graph. In KDD, pp. 922-930, 2012. 4, 5, 8
    • (2012) KDD , pp. 922-930
    • Yang, S.1    Yuan, L.2    Lai, Y.-C.3
  • 37
    • 84898979564 scopus 로고    scopus 로고
    • On decomposing the proximal map
    • 6, 11
    • Yu, Yaoliang. On decomposing the proximal map. In NIPS, pp. 91-99, 2013. 6, 11
    • (2013) NIPS , pp. 91-99
    • Yu, Y.1
  • 38
    • 80052872689 scopus 로고    scopus 로고
    • Online detection of unusual events in videos via dynamic sparse coding
    • 3
    • Zhao, Bin, Li, Fei-Fei, and Xing, Eric P. Online detection of unusual events in videos via dynamic sparse coding. In CVPR, pp. 3313-3320, 2011. 3
    • (2011) CVPR , pp. 3313-3320
    • Zhao, B.1    Li, F.-F.2    Xing, E.P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.