A. Andoni and P. Indyk, Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions, FOCS, 2006.

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

H. Jegou, M. Douze, and C. Schmid, Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search, ECCV, 2008.
DOI : 10.1007/978-3-540-88682-2_24

URL : https://hal.archives-ouvertes.fr/inria-00316866

H. Jegou, M. Douze, and C. Schmid, Product Quantization for Nearest Neighbor Search, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.1, 2011.
DOI : 10.1109/TPAMI.2010.57

URL : https://hal.archives-ouvertes.fr/inria-00514462

A. Joly and O. Buisson, A posteriori multi-probe locality sensitive hashing, Proceeding of the 16th ACM international conference on Multimedia, MM '08, 2008.
DOI : 10.1145/1459359.1459388

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

A. Joly and O. Buisson, Random maximum margin hashing, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995709

URL : https://hal.archives-ouvertes.fr/hal-00642178

J. Krapac, F. Perronnin, T. Furon, and H. Jégou, Instance classification with prototype selection, Proceedings of International Conference on Multimedia Retrieval, ICMR '14, 2014.
DOI : 10.1145/2578726.2578786

URL : https://hal.archives-ouvertes.fr/hal-00942275

A. Krizhevsky, I. Sutskever, and G. E. Hinton, Imagenet classification with deep convolutional neural networks, 2012.

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

D. Lowe, Object recognition from local scale-invariant features, Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999.
DOI : 10.1109/ICCV.1999.790410

K. Mikolajczyk and C. Schmid, An Affine Invariant Interest Point Detector, 2002.
DOI : 10.1007/3-540-47969-4_9

URL : https://hal.archives-ouvertes.fr/inria-00548252

F. Perronnin and C. Dance, Fisher Kernels on Visual Vocabularies for Image Categorization, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383266

F. Perronnin, J. Sánchez, and T. Mensik, 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

J. Philbin, Scalable Object Retrieval in Very Large Image Collections, 2010.

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. Rabin, J. Delon, Y. Gousseau, and L. Moisan, Mac-ransac: a robust algorithm for the recognition of multiple objects, 3DPTV, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00466487

S. Romberg, L. G. Pueyo, R. Lienhart, and R. Van-zwol, Scalable logo recognition in real-world images, Proceedings of the 1st ACM International Conference on Multimedia Retrieval, ICMR '11, 2011.
DOI : 10.1145/1991996.1992021

J. Sivic and A. Zisserman, Video Google: a text retrieval approach to object matching in videos, Proceedings Ninth IEEE International Conference on Computer Vision, 2003.
DOI : 10.1109/ICCV.2003.1238663