T. Berg, A. Berg, J. Edwards, M. Maire, R. White et al., Names and faces in the news, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004.
DOI : 10.1109/CVPR.2004.1315253

A. Bosch, A. Zisserman, and X. Munoz, Representing shape with a spatial pyramid kernel, Proceedings of the 6th ACM international conference on Image and video retrieval, CIVR '07, 2007.
DOI : 10.1145/1282280.1282340

P. Dollár, V. Rabaud, G. Cottrell, and S. Belongie, Behavior Recognition via Sparse Spatio-Temporal Features, 2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 2005.
DOI : 10.1109/VSPETS.2005.1570899

M. Everingham, J. Sivic, and A. Zisserman, Hello! My name is... Buffy'' -- Automatic Naming of Characters in TV Video, Procedings of the British Machine Vision Conference 2006, 2006.
DOI : 10.5244/C.20.92

M. Everingham, L. Van-gool, C. Williams, J. Winn, and A. Zisserman, Overview and results of classification challenge, The PASCAL VOC'07 Challenge Workshop, 2007.

H. Jhuang, T. Serre, L. Wolf, and T. Poggio, A Biologically Inspired System for Action Recognition, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4408988

I. Laptev, On Space-Time Interest Points, International Journal of Computer Vision, vol.17, issue.8, pp.107-123, 2005.
DOI : 10.1007/s11263-005-1838-7

I. Laptev and P. Pérez, Retrieving actions in movies, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4409105

S. Lazebnik, C. Schmid, and J. Ponce, Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), 2006.
DOI : 10.1109/CVPR.2006.68
URL : https://hal.archives-ouvertes.fr/inria-00548585

L. Li, G. Wang, and L. F. Fei, Optimol: automatic online picture collection via incremental model learning, CVPR, 2007.

R. Lienhart, RELIABLE TRANSITION DETECTION IN VIDEOS: A SURVEY AND PRACTITIONER'S GUIDE, International Journal of Image and Graphics, vol.01, issue.03, pp.469-486, 2001.
DOI : 10.1142/S021946780100027X

M. Marsza?ek, C. Schmid, H. Harzallah, and J. Van-de-weijer, Learning object representations for visual object class recognition, The PASCAL VOC'07 Challenge Workshop, 2007.

J. C. Niebles, H. Wang, and L. Fei-fei, Unsupervised learning of human action categories using spatial-temporal words, BMVC, 2006.

F. Schroff, A. Criminisi, and A. Zisserman, Harvesting image databases from the web, ICCV, 2007.

C. Schuldt, I. Laptev, and B. Caputo, Recognizing human actions: a local SVM approach, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., 2004.
DOI : 10.1109/ICPR.2004.1334462

F. Sebastiani, Machine learning in automated text categorization, ACM Computing Surveys, vol.34, issue.1, pp.1-47, 2002.
DOI : 10.1145/505282.505283

J. Willamowski, D. Arregui, G. Csurka, C. R. Dance, and L. Fan, Categorizing nine visual classes using local appearance descriptors, IWLAVS, 2004.

S. Wong and R. Cipolla, Extracting Spatiotemporal Interest Points using Global Information, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4408923

S. Wong, T. K. Kim, and R. Cipolla, Learning Motion Categories using both Semantic and Structural Information, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383332

J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid, Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study, International Journal of Computer Vision, vol.36, issue.1, pp.213-238, 2007.
DOI : 10.1007/s11263-006-9794-4
URL : https://hal.archives-ouvertes.fr/inria-00548574

T. Zhang, Large margin winnow methods for text categorization, KDD-2000 Workshop on Text Mining, 2000.