A. Agarwal and B. Triggs, Hyperfeatures ??? Multilevel Local Coding for Visual Recognition, ECCV, 2006.
DOI : 10.1007/11744023_3

URL : https://hal.archives-ouvertes.fr/inria-00548592

R. Arandjelovic and A. Zisserman, Three things everyone should know to improve object retrieval, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012.
DOI : 10.1109/CVPR.2012.6248018

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.370.7498

Y. Boureau, F. Bach, L. Y. , and J. Ponce, Learning mid-level features for recognition, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5539963

Y. Boureau, N. Le-roux, F. Bach, J. Ponce, and Y. Le-cun, Ask the locals: Multi-way local pooling for image recognition, 2011 International Conference on Computer Vision, 2011.
DOI : 10.1109/ICCV.2011.6126555

URL : https://hal.archives-ouvertes.fr/hal-00646816

L. Cao, Y. Mu, A. Natsev, S. Chang, G. Hua et al., Scene Aligned Pooling for Complex Video Recognition, ECCV, 2012.
DOI : 10.1007/978-3-642-33709-3_49

O. Chum, J. Philbin, J. Sivic, M. Isard, and A. Zisserman, Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4408891

H. Jégou and O. Chum, Negative evidences and cooccurences in image retrieval: The benefit of PCA and whitening, ECCV, 2012.

H. Jégou, M. Douze, C. Schmid, and P. Pérez, Aggregating local descriptors into a compact image representation, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5540039

H. Jégou, F. Perronnin, M. Douze, J. Sánchez, P. Pérez et al., Aggregating Local Image Descriptors into Compact Codes, Trans. PAMI, 2012.
DOI : 10.1109/TPAMI.2011.235

T. Joachims, A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization, ICML, 1997.

A. Joly and O. Buisson, Logo retrieval with a contrario visual query expansion, Proceedings of the seventeen ACM international conference on Multimedia, MM '09, 2009.
DOI : 10.1145/1631272.1631361

P. Over, G. Awad, M. Michel, J. Fiscus, G. Sanders et al., Trecvid 2012 ? an overview of the goals, tasks, data, evaluation mechanisms and metrics, TRECVID, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00953826

F. Perronnin, J. Sánchez, and T. Mensink, Improving the Fisher Kernel for Large-Scale Image Classification, ECCV, 2010.
DOI : 10.1007/978-3-642-15561-1_11

URL : https://hal.archives-ouvertes.fr/inria-00548630

F. Perronnin, Y. Liu, J. Sanchez, and H. Poirier, Largescale image retrieval with compressed Fisher vectors, CVPR, 2010.

J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman, Object retrieval with large vocabularies and fast spatial matching, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383172

J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman, Lost in quantization: Improving particular object retrieval in large scale image databases, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587635

J. Revaud, M. Douze, C. Schmid, and H. Jégou, Event Retrieval in Large Video Collections with Circulant Temporal Encoding, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013.
DOI : 10.1109/CVPR.2013.318

URL : https://hal.archives-ouvertes.fr/hal-00801714

T. Tuytelaars and C. Schmid, Vector Quantizing Feature Space with a Regular Lattice, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4408924

URL : https://hal.archives-ouvertes.fr/inria-00548675