Large-scale web video event classification by use of Fisher Vectors

Proceedings of IEEE Workshop on Applications of Computer Vision

Volumn , Issue , 2013, Pages 15-22

  Sun, Chen ^a   Nevatia, Ram ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EVENT RECOGNITION; FEATURE VECTORS; FISHER VECTORS; KNOWN ENVIRONMENTS; LOCAL FEATURE; MULTIMEDIA EVENT DETECTIONS; USER-GENERATED VIDEO; VIDEO CATEGORIZATION;

IMAGE CLASSIFICATION; IMAGE RETRIEVAL; MULTIMEDIA SYSTEMS;

STATISTICAL TESTS;

EID: 84875607338     PISSN: 21583978     EISSN: 21583986     Source Type: Conference Proceeding    
DOI: 10.1109/WACV.2013.6474994     Document Type: Conference Paper

References (19)

1. http://www.nist.gov/itl/iad/mig/med12. cfm. 1, 5
2. http://www-nlpir.nist.gov/projects/tvpubs/tv.pubs.11.org.html. 2
3. G. Csurka, C. Dance, L. Fan, J. Willamowski, and C. Bray. Visual categorization with bags of keypoints. In ECCVWorkshop, 2004. 1
4. T. Jaakkola and D. Haussler. Exploiting generative models in discriminative classifiers. In NIPS, 1999. 2, 3
5. H. Jegou, M. Douze, C. Schmid, and P. Perez. Aggregating local descriptors into a compact image representation. In CVPR, 2010. 2, 3
6. H. Jegou, F. Perronnin, M. Douze, J. Sanchez, P. Perez, and C. Schmid. Aggregating local image descriptors into compact codes. PAMI, 2011. 3, 4, 6
7. I. Laptev. On space-time interest points. IJCV, 64(2-3):107-123, 2005. 2
8. S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR, 2006. 4, 6
9. L.-J. Li, H. Su, E. P. Xing, and F.-F. Li. Object bank: A highlevel image representation for scene classification & semantic feature sparsification. In NIPS, 2010. 2
10. D. G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, 2004. 2
11. P. Natarajan, S. Vitaladevuni, U. Park, S. Wu, V. Manohar, X. Zhuang, S. Tsakalidis, R. Prasad, and P. Natarajan. Multimodel feature fusion for robust event detection in web videos. In CVPR, 2012. 1, 2
12. F. Perronnin and C. Dance. Fisher kernels on visual vocabularies for image categorization. In CVPR, 2007. 2, 3, 7
13. S. Sadanand and J. Corso. Action bank: A high-level representation of activity in video. In CVPR, 2012. 2
14. C. Schuldt, I. Laptev, and B. Caputo. Recognizing human actions: A local svm approach. In ICPR, 2004. 1
15. A. Tamrakar, S. Ali, Q. Yu, J. Liu, O. Javed, A. Divakaran, H. Cheng, and H. S. Sawhney. Evaluation of low-level features and their combinations for complex event detection in open source videos. In CVPR, 2012. 1, 2
16. J. C. van Gemert, J.-M. Geusebroek, C. J. Veenman, and A. W. M. Smeulders. Kernel codebooks for scene categorization. In ECCV, 2008. 1, 3, 4, 6
17. H.Wang, A. Klaser, C. Schmid, and C.-L. Liu. Action recognition by dense trajectories. In CVPR, 2011. 2
18. H. Wang, M. M. Ullah, A. Klaser, I. Laptev, and C. Schmid. Evaluation of local spatio-temporal features for action recognition. In BMVC, 2009. 1, 2
19. J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong. Locality-constrained linear coding for image classification. In CVPR, 2010. 1