How related exemplars help complex event detection in web videos?

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2013, Pages 2104-2111

  Yang, Yi ^a,b   Ma, Zhigang ^a   Xu, Zhongwen ^b   Yan, Shuicheng ^c   Hauptmann, Alexander G ^a  

^a Carnegie Mellon University   (United States)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; SEMANTICS;

COMPLEX EVENT DETECTION; COMPLEX EVENTS; HIGHER-LEVEL ABSTRACTION; HUMAN ASSESSMENT; MULTIPLE OBJECTS; VIDEO SEQUENCES; VISUAL CONCEPT; WEB VIDEO;

IMAGE RETRIEVAL;

EID: 84898796947     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.456     Document Type: Conference Paper

References (20)

1. Z. Akata, F. Perronnin, Z. Harchaoui, C. Schmid, et al. Label-embedding for attribute-based classification. In CVPR, 2013.
2. C. Cabrera, R. Sastre, J. Rodr, and S. Bas. Surfing the point clouds: Selective 3D spatial pyramids for category-level object recognition. ICCV, 2011.
3. M. Chen and A. Hauptmann. Mosift: Reocgnizing human actions in surveillance videos. Technical Report: CMU-CS-09-161, 2009.
4. L. Fei-Fei, R. Fergus, and P. Perona. One-shot learning of object categories. TPAMI, 28(4):594-611, 2006.
5. G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller. Labeled faces in the wild: A database for studying face recognition in unconstrained environments. Technical Report 07-49, University of Massachusetts, October 2007.
6. H. Izadinia and M. Shah. Recognizing complex events using large margin joint low-level event model. ECCV, 2012.
7. Z. Kang, K. Grauman, and F. Sha. Learning with whom to share in multi-task feature learning. In ICML, 2011.
8. I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld. Learning realistic human actions from movies. In CVPR, 2008.
9. Z. Ma, Y. Yang, Y. Cai, N. Sebe, and A. Hauptmann. Knowledge adaptation for ad hoc multimedia event detection with few examplars. ACM Multimedia, 2012.
10. Z. Ma, Y. Yang, Z. Xu, S. Yan, N. Sebe, and A. Hauptmann. Complex event detection via multi-source video attributes. CVPR, 2013.
11. P. Natarajan, P. Natarajan, A. Vazquez-Reina, S. Vitaladevuni, C. Andersen, R. Prasad, S.-F. Chang, I. Saleemi, M. Shah, Y. Ng, B. White, L. Davis, A. Gupta, and I. Haritaoglu. BBN VISER TRECVID 2012 Multimedia Event Detection and Multimedia Event Recounting Systems. In TRECVID Workshop, 2012.
12. P. Natarajan, S. Wu, S. Vitaladevuni, U. Park, R. Prasad, and P. Natarajan. Multimodal feature fusion for robust event detection in web videos. CVPR, 2012.
13. K. Sande, T. Gevers, and C. Snoek. Evaluating color descriptors for object and scene recognition. TPAMI, 32(9):1582-1596, 2010.
14. A. Tamrakar, S. Ali, Q. Yu, J. Liu, O. Javed, A. Divakaran, H. Cheng, and H. Sawhney. Evaluation of low-level features and their combinations for complex event detection in open source video. CVPR, 2012.
15. H. Wang, A. Klaser, C. Schmid, and C. Liu. Action recognition by dense trajectories. In CVPR, 2011.
16. H. Wang, M. Ullah, A. Klaser, I. Laptev, C. Schmid, et al. Evaluation of local spatio-temporal features for action recognition. In BMVC, 2009.
17. S.Wang, Y. Yang, Z. Ma, X. Li, C. Pang, and A. Hauptmann. Action recognition by exploring data distribution and feature correlation. CVPR, 2012.
18. Z. Xu, Y. Yang, I. Tsang, N. Sebe, and A. Hauptmann. Feature weighting via optimal thresholding for video analysis. In ICCV, 2013.
19. Y. Yang, Z. Ma, A. Hauptmann, and N. Sebe. Feature selection for multimedia analysis by sharing information among multiple tasks. TMM, 3(15):661-669, 2013.
20. S. Yu, Z. Xu, D. Ding, et al. Informedia e-lamp@TRECVID 2012, multimedia event detection and recounting. TRECVID Workshop, 2012.