R. Arandjelovic and A. Zisserman, Three things everyone should know to improve object retrieval, 2012 IEEE Conference on Computer Vision and Pattern Recognition, p.CVPR, 2012.
DOI : 10.1109/CVPR.2012.6248018
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.370.7498

R. Arandjelovi´carandjelovi´c and A. Zisserman, All about VLAD, p.CVPR, 2013.

R. Arandjelovi´carandjelovi´c and A. Zisserman, DisLocation: Scalable descriptor distinctiveness for location recognition, p.ACCV, 2014.

Y. Avrithis, Y. Kalantidis, G. Tolias, and E. Spyrou, Retrieving landmark and non-landmark images from community photo collections, Proceedings of the international conference on Multimedia, MM '10, 2010.
DOI : 10.1145/1873951.1873973

L. Bo and C. Sminchisescu, Efficient match kernel between sets of features for visual recognition, p.NIPS, 2009.

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

M. Charikar, Similarity estimation techniques from rounding algorithms, Proceedings of the thiry-fourth annual ACM symposium on Theory of computing , STOC '02, 2002.
DOI : 10.1145/509907.509965

D. M. Chen, G. Baatz, K. Koser, S. S. Tsai, R. Vedantham et al., City-scale landmark identification on mobile devices, CVPR 2011, p.CVPR, 2011.
DOI : 10.1109/CVPR.2011.5995610

O. Chum, A. Mikulik, M. Perdoch, and J. Matas, Total recall II: Query expansion revisited, CVPR 2011, p.CVPR, 2011.
DOI : 10.1109/CVPR.2011.5995601

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, p.ICCV, 2007.
DOI : 10.1109/ICCV.2007.4408891

G. Csurka, C. Dance, L. Fan, J. Willamowski, and C. Bray, Visual categorization with bags of keypoints, ECCV Workshop Statistical Learning in Computer Vision, 2004.

Q. Danfeng, S. Gammeter, L. Bossard, T. Quack, and L. V. Gool, Hello neighbor: Accurate object retrieval with k-reciprocal nearest neighbors, p.CVPR, 2011.

J. Delhumeau, P. H. Gosselin, H. Jégou, and P. Pérez, Revisiting the VLAD image representation, Proceedings of the 21st ACM international conference on Multimedia, MM '13, 2013.
DOI : 10.1145/2502081.2502171
URL : https://hal.archives-ouvertes.fr/hal-00840653

A. Delvinioti, H. Jégou, L. Amsaleg, and M. E. Houle, Image retrieval with reciprocal and shared nearest neighbors, p.VISAPP, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00907481

J. Hays and A. A. Efros, IM2GPS: estimating geographic information from a single image, 2008 IEEE Conference on Computer Vision and Pattern Recognition, p.CVPR, 2008.
DOI : 10.1109/CVPR.2008.4587784

M. Jain, R. Benmokhtar, P. Gros, and H. Jégou, Hamming embedding similarity-based image classification, Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, ICMR '12, p.ICMR, 2012.
DOI : 10.1145/2324796.2324820
URL : https://hal.archives-ouvertes.fr/hal-00688169

M. Jain, H. Jégou, and P. Gros, Asymmetric hamming embedding, Proceedings of the 19th ACM international conference on Multimedia, MM '11, 2011.
DOI : 10.1145/2072298.2072035
URL : https://hal.archives-ouvertes.fr/inria-00607278

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

H. Jégou, M. Douze, and C. Schmid, On the burstiness of visual elements, 2009 IEEE Conference on Computer Vision and Pattern Recognition, p.CVPR, 2009.
DOI : 10.1109/CVPR.2009.5206609

H. Jégou, M. Douze, and C. Schmid, Improving Bag-of-Features for Large Scale Image Search, International Journal of Computer Vision, vol.42, issue.3, pp.316-336, 2010.
DOI : 10.1007/s11263-009-0285-2

H. Jégou, M. Douze, and C. Schmid, Product Quantization for Nearest Neighbor Search, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.1, pp.117-128, 2011.
DOI : 10.1109/TPAMI.2010.57

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, p.CVPR, 2010.
DOI : 10.1109/CVPR.2010.5540039

R. Ji, L. Duan, J. Chen, H. Yao, J. Yuan et al., Location Discriminative Vocabulary Coding for Mobile Landmark Search, International Journal of Computer Vision, vol.29, issue.11, pp.1-25, 2012.
DOI : 10.1007/s11263-011-0472-9

E. Johns and G. Z. Yang, From images to scenes: Compressing an image cluster into a single scene model for place recognition, 2011 International Conference on Computer Vision, p.ICCV, 2011.
DOI : 10.1109/ICCV.2011.6126328

Y. Kalantidis and Y. Avrithis, Locally Optimized Product Quantization for Approximate Nearest Neighbor Search, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014.
DOI : 10.1109/CVPR.2014.298

J. Knopp, J. Sivic, and T. Pajdla, Avoiding Confusing Features in Place Recognition, p.ECCV, 2010.
DOI : 10.1007/978-3-642-15549-9_54

Y. Li, D. J. Crandall, and D. P. Huttenlocher, Landmark classification in large-scale image collections, p.ICCV, 2009.

D. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.4931

K. Mikolajczyk and C. Schmid, A performance evaluation of local descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.10, pp.1615-1630, 2005.
DOI : 10.1109/TPAMI.2005.188
URL : https://hal.archives-ouvertes.fr/inria-00548227

A. Mikulik, M. Perdoch, O. Chum, and J. Matas, Learning Vocabularies over a Fine Quantization, International Journal of Computer Vision, vol.30, issue.2, pp.163-175, 2013.
DOI : 10.1007/s11263-012-0600-1

D. Nistér and H. Stewénius, Scalable Recognition with a Vocabulary Tree, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), pp.2161-2168, 2006.
DOI : 10.1109/CVPR.2006.264

M. Perdoch, O. Chum, and J. Matas, Efficient representation of local geometry for large scale object retrieval, 2009 IEEE Conference on Computer Vision and Pattern Recognition, p.CVPR, 2009.
DOI : 10.1109/CVPR.2009.5206529

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

F. Perronnin, Y. Liu, J. Sanchez, and H. Poirier, Large-scale image retrieval with compressed Fisher vectors, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p.CVPR, 2010.
DOI : 10.1109/CVPR.2010.5540009

F. Perronnin, J. Sánchez, and T. Mensink, Improving the Fisher Kernel for Large-Scale Image Classification, p.ECCV, 2010.
DOI : 10.1007/978-3-642-15561-1_11
URL : https://hal.archives-ouvertes.fr/inria-00548630

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, p.CVPR, 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, p.CVPR, 2008.
DOI : 10.1109/CVPR.2008.4587635

D. Qin, C. Wengert, and L. Van-gool, Query Adaptive Similarity for Large Scale Object Retrieval, 2013 IEEE Conference on Computer Vision and Pattern Recognition, p.CVPR, 2013.
DOI : 10.1109/CVPR.2013.211

G. Salton and C. Buckley, Term-weighting approaches in automatic text retrieval, Information Processing & Management, vol.24, issue.5, pp.513-523, 1988.
DOI : 10.1016/0306-4573(88)90021-0

G. Schindler, M. Brown, and R. Szeliski, City-Scale Location Recognition, 2007 IEEE Conference on Computer Vision and Pattern Recognition, p.CVPR, 2007.
DOI : 10.1109/CVPR.2007.383150

X. Shen, Z. Lin, J. Brandt, S. Avidan, and Y. Wu, Object retrieval and localization with spatially-constrained similarity measure and k-nn re-ranking, p.CVPR, 2012.

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

R. Tao, E. Gavves, C. G. Snoek, and A. W. Smeulders, Locality in Generic Instance Search from One Example, 2014 IEEE Conference on Computer Vision and Pattern Recognition, p.CVPR, 2014.
DOI : 10.1109/CVPR.2014.269

G. Tolias and Y. Avrithis, Speeded-up, relaxed spatial matching, 2011 International Conference on Computer Vision, p.ICCV, 2011.
DOI : 10.1109/ICCV.2011.6126427

G. Tolias, Y. Avrithis, and H. Jégou, To Aggregate or Not to aggregate: Selective Match Kernels for Image Search, 2013 IEEE International Conference on Computer Vision, p.ICCV, 2013.
DOI : 10.1109/ICCV.2013.177
URL : https://hal.archives-ouvertes.fr/hal-00864684

G. Tolias and H. Jégou, Visual query expansion with or without geometry: Refining local descriptors by feature aggregation, Pattern Recognition, vol.47, issue.10, 2014.
DOI : 10.1016/j.patcog.2014.04.007
URL : https://hal.archives-ouvertes.fr/hal-00971267

A. Torii, J. Sivic, T. Pajdla, and M. Okutomi, Visual place recognition with repetitive structures, p.CVPR, 2013.
DOI : 10.1109/tpami.2015.2409868
URL : https://hal.archives-ouvertes.fr/hal-00934288

A. Torralba, R. Fergus, and Y. Weiss, Small codes and large image databases for recognition, 2008 IEEE Conference on Computer Vision and Pattern Recognition, p.CVPR, 2008.
DOI : 10.1109/CVPR.2008.4587633
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.222.6991

P. Turcot and D. G. Lowe, Better matching with fewer features: The selection of useful features in large database recognition problems, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, p.CVPR, 2009.
DOI : 10.1109/ICCVW.2009.5457541

J. Wang, J. Yang, K. Yu, F. L. Huang, T. Gong et al., Localityconstrained linear coding for image classification, p.CVPR, 2010.

Z. Wu, Q. Ke, M. Isard, and J. Sun, Bundling features for large scale partial-duplicate web image search, pp.25-32, 2009.

S. Zhang, M. Yang, T. Cour, K. Yu, and D. N. Metaxas, Query Specific Fusion for Image Retrieval, p.ECCV, 2012.
DOI : 10.1007/978-3-642-33709-3_47