Video event understanding using natural language descriptions

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2013, Pages 905-912

  Ramanathan, Vignesh ^a   Liang, Percy ^a   Fei Fei, Li ^a  

^a Stanford University   (United States)

Author keywords

natural language descriptions; video event recognition

Indexed keywords

CONTENT BASED RETRIEVAL;

COMPLEX EVENTS; EVENT RECOGNITION; HUMAN ACTIONS; NATURAL LANGUAGES; SEMANTIC RELATEDNESS; SPATIO TEMPORAL; STATE-OF-THE-ART METHODS; VIDEO EVENTS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84898775557     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.117     Document Type: Conference Paper

References (32)

1. Trecvid multimedia event detection track, 2011.
2. T. L. Berg, A. C. Berg, and J. Shih. Automatic attribute discovery and charateriztion from noisy web data. In ECCV, 2010.
3. D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. the Journal of machine Learning research, 3:993-1022, 2003.
4. T. Cour, C. Jordan, E. Miltsakaki, and B. Taskar. Movie/script: Alignment and parsing of video and text transcription. In ECCV, 2008.
5. A. Fathi, J. K. Hoggins, and J. M. Rehg. Social interactions: A first person perspective. In CVPR, 2012.
6. P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained part based models. PAMI, 32(9):1627-1645, 2010.
7. K. Ganchev, J. Graca, J. Gillewater, and B. Taskar. Posterior regularization for structured latent variable models. JMLR, 11, 2010.
8. H. Izadinia and M. Shah. Recognizing complex events using large margin joint low-level event model. In ECCV, 2012.
9. Y. Jia, M. Salzmann, and T. Darrell. Learning cross-modality similarity for multinomial data. In ICCV, 2011.
10. A. Klaser, M. Marszałek, and C. Schmid. A spatio-temporal descriptor based on 3d-gradients. In BMVC, 2008.
11. M. P. Kumar, B. Packer, and D. Koller. Self-paced learning for latent variable models. In NIPS, 2010.
12. T. Lan, L. Sigal, and G. Mori. Social roles in hierarchical models for human activity recognition. In CVPR, 2012.
13. I. Laptev, M. Marszaek, C. Schmid, and B. Rozenfeld. Learning realistic human actions from movies. In CVPR, 2008.
14. J. Liu, B. Kuipers, and S. Savarese. Recognizing human actions by attributes. In CVPR, 2011.
15. D. G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60, 2004.
16. M. Marszaek, I. Laptev, and C. Schmid. Actions in context. In CVPR, 2009.
17. M. Merler, B. Huang, L. Xie, G. Hua, and A. Natsev. Semantic model vectors for complex video event recognition. IEEE Trans. Multimedia, 14:88-101, 2012.
18. T. S. Motwani and R. J. Mooney. Improving video activity recognition using object recognition and text mining. In ECAI, 2012.
19. D. Parikh and K. Grauman. Interactively building a discriminative vocabulary of nameable attributes. In CVPR, 2011.
20. L. Rabiner and B.-H. Juang. Fundamentals of speech recognition. Prentice-Hall, Inc., 1993.
21. M. Raptis, I. Kokkinos, and S. Soatto. Discovering discriminative action parts from mid-level vide representations. In ECCV, 2012.
22. M. Regneri, M. Rohrbach, D. Wetzel, S. Thater, B. Schiele, and M. Pinkal. Grounding action descriptions in videos. TACL, 1:25-36, 2013.
23. M. Rohrbach, M. Regneri, M. Andriluka, S. Amin, M. Pinkal, and B. Schiele. Script data for attribute-based recognition of composite activities. In ECCV, 2012.
24. M. Rohrbach, M. Stark, G. Szarvas, and B. Schiele. Combining language sources and robust semantic relatedness for attribute-based knowledge transfer. In ECCV-PnA, 2010.
25. M. Rohrbach, M. Stark, G. Szarvas, and B. Schiele. What helps where-and why semantic relatedness for knowledge transfer. In CVPR, 2010.
26. M. Rohrbach, Q. Wei, I. Titov, S. Thater, M. Pinkal, and B. Schiele. Translating video content to natural language descriptions. In ICCV, 2013.
27. S. Satkin and M. Hebert. Modelling the temporal extent of action. In ECCV, 2010.
28. S. Singh, A. Gupta, and A. A. Efros. Unsupervised discovery of mid-level discriminative patches. In ECCV, 2012.
29. R. Socher and L. Fei-Fei. Connecting modalities: Semisupervised segmentation and annotation of images using unaligned text corpora. In CVPR, 2010.
30. G. Wang, A. Gallagher, J. Luo, and D. Forsyth. Seeing people in social context: recognizing people and social relationships. In ECCV, 2010.
31. W. Yang and G. Toderici. Discriminative tag learning on youtube videos with latent sub-tags. In CVPR, 2011.
32. Z.-H. Zhou and M.-L. Zhang. Multi-instance multi-label learning with application to scene classification. In NIPS, 2007.