J. Amores, N. Sebe, and P. Radeva, Context-based object-class recognition and retrieval by generalized correlograms. Pattern Analysis and Machine Intelligence, IEEE Transactions on, issue.10, pp.291818-1833, 2007.
DOI : 10.1109/tpami.2007.1098

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.76.9370

A. Andoni and P. Indyk, Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions, Foundations of Computer Science, 2006. FOCS'06. 47th Annual IEEE Symposium on, pp.459-468, 2006.

R. Arandjelovic and A. Zisserman, Three things everyone should know to improve object retrieval, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.2911-2918, 2012.
DOI : 10.1109/CVPR.2012.6248018

S. Arya, M. David, and . Mount, Approximate nearest neighbor queries in fixed dimensions, Proceedings of the fourth annual ACM-SIAM Symposium on Discrete algorithms, pp.271-280, 1993.

S. Arya, M. David, . Mount, S. Nathan, R. Netanyahu et al., An optimal algorithm for approximate nearest neighbor searching fixed dimensions, Journal of the ACM, vol.45, issue.6, pp.891-923, 1998.
DOI : 10.1145/293347.293348

R. J. Bayardo, Y. Ma, and R. Srikant, Scaling up all pairs similarity search, Proceedings of the 16th international conference on World Wide Web , WWW '07, pp.131-140, 2007.
DOI : 10.1145/1242572.1242591

A. Beygelzimer, S. Kakade, and J. Langford, Cover trees for nearest neighbor, Proceedings of the 23rd international conference on Machine learning , ICML '06, pp.97-104, 2006.
DOI : 10.1145/1143844.1143857

A. Blumer, A. Ehrenfeucht, D. Haussler, and M. K. Warmuth, Learnability and the Vapnik-Chervonenkis dimension, Journal of the ACM, vol.36, issue.4, pp.929-965, 1989.
DOI : 10.1145/76359.76371

L. Bo and C. Sminchisescu, Efficient match kernel between sets of features for visual recognition, Advances in neural information processing systems, pp.135-143, 2009.

H. Elizabeth, . Boakes, J. Philip, . Mcgowan, A. Richard et al., Distorted views of biodiversity: spatial and temporal bias in species occurrence data, PLoS biology, vol.8, issue.6, p.1000385, 2010.

C. Böhm, S. Berchtold, A. Daniel, and . Keim, Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases, ACM Computing Surveys, vol.33, issue.3, pp.322-373, 2001.
DOI : 10.1145/502807.502809

S. Boughorbel, J. P. Tarel, and N. Boujemaa, The intermediate matching kernel for image local features, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005., pp.889-894, 2005.
DOI : 10.1109/IJCNN.2005.1555970

M. Brenner and E. Izquierdo, Social event detection and retrieval in collaborative photo collections, Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, ICMR '12, p.21, 2012.
DOI : 10.1145/2324796.2324823

J. Bu, S. Tan, C. Chen, C. Wang, H. Wu et al., Music recommendation by unified hypergraph, Proceedings of the international conference on Multimedia, MM '10, pp.391-400, 2010.
DOI : 10.1145/1873951.1874005

J. Cai, D. Ee, B. Pham, P. Roe, and J. Zhang, Sensor Network for the Monitoring of Ecosystem: Bird Species Recognition, 2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information, pp.293-298, 2007.
DOI : 10.1109/ISSNIP.2007.4496859

J. Cervantes, X. Li, W. Yu, and J. Bejarano, Multi-class support vector machines for large data sets via minimum enclosing ball clustering. Electrical and Electronics Engineering ICEEE, 4th International Conference on, 2007.

E. Chatzilari, G. Liaros, S. Nikolopoulos, and Y. Kompatsiaris, A Comparative Study on Mobile Visual Recognition, Machine Learning and Data Mining in Pattern Recognition, pp.442-457, 2013.
DOI : 10.1007/978-3-642-39712-7_34

S. Sen-ching, A. Cheung, and . Zakhor, Efficient video similarity measurement with video signature. Circuits and Systems for Video Technology, IEEE Transactions on, vol.13, issue.1, pp.59-74, 2003.

O. Chum, J. Philbin, M. Isard, and A. Zisserman, Scalable near identical image and shot detection, Proceedings of the 6th ACM international conference on Image and video retrieval, CIVR '07, pp.549-556, 2007.
DOI : 10.1145/1282280.1282359

P. Ciaccia and M. Patella, PAC nearest neighbor queries: Approximate and controlled search in high-dimensional and metric spaces, Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073), pp.244-255, 2000.
DOI : 10.1109/ICDE.2000.839417

P. Ciaccia, M. Patella, and P. Zezula, M-tree: An efficient access method for similarity search in metric spaces, Proc. of Int. Conf. on Very Large Data Bases, pp.426-435, 1997.

M. Dao, G. Boato, F. Gb-de-natale, and T. Nguyen, Jointly exploiting visual and non-visual information for event-related social media retrieval, Proceedings of the 3rd ACM conference on International conference on multimedia retrieval, ICMR '13, pp.159-166, 2013.
DOI : 10.1145/2461466.2461494

S. Dasiopoulou, E. Giannakidou, G. Litos, P. Malasioti, and Y. Kompatsiaris, A Survey of Semantic Image and Video Annotation Tools, Knowledge-driven multimedia information extraction and ontology evolution, pp.196-239, 2011.
DOI : 10.1007/11930334_4

M. Datar, N. Immorlica, P. Indyk, S. Vahab, and . Mirrokni, Localitysensitive hashing scheme based on p-stable distributions, Proceedings of the twentieth annual symposium on Computational geometry, pp.253-262, 2004.

J. Deng, W. Dong, R. Socher, L. Li, K. Li et al., ImageNet: A Large- Scale Hierarchical Image Database, CVPR09, 2009.

W. Dong, C. Moses, and K. Li, Efficient k-nearest neighbor graph construction for generic similarity measures, Proceedings of the 20th international conference on World wide web, WWW '11, pp.577-586, 2011.
DOI : 10.1145/1963405.1963487

J. Anton, S. Enright, C. A. Van-dongen, and . Ouzounis, An efficient algorithm for large-scale detection of protein families, Nucleic acids research, vol.30, issue.7, pp.1575-1584, 2002.

L. Ertoz, M. Steinbach, and V. Kumar, A new shared nearest neighbor clustering algorithm and its applications, Workshop on Clustering High Dimensional Data and its Applications at 2nd SIAM International Conference on Data Mining, pp.105-115, 2002.

K. Rong-en-fan, C. Chang, X. Hsieh, C. Wang, and . Lin, LIBLINEAR: A library for large linear classification, Journal of Machine Learning Research, 2008.

D. Fink, M. Wesley, B. Hochachka, . Zuckerberg, W. David et al., Spatiotemporal exploratory models for broad-scale survey data, Ecological Applications, vol.21, issue.2, pp.2131-2147, 2010.
DOI : 10.1890/0012-9658(2003)084[1382:HBMFPT]2.0.CO;2

M. Flickner, H. Sawhney, W. Niblack, J. Ashley, Q. Huang et al., Query by image and video content: the QBIC system, Computer, vol.28, issue.9, pp.23-32, 1995.
DOI : 10.1109/2.410146

K. Imola and . Fodor, A survey of dimension reduction techniques, 2002.

P. Frankl and H. Maehara, The Johnson-Lindenstrauss lemma and the sphericity of some graphs, Journal of Combinatorial Theory, Series B, vol.44, issue.3, pp.355-362, 1988.
DOI : 10.1016/0095-8956(88)90043-3

V. Gaede and O. Günther, Multidimensional access methods, ACM Computing Surveys, vol.30, issue.2, pp.170-231, 1998.
DOI : 10.1145/280277.280279

T. Gao and D. Koller, Discriminative learning of relaxed hierarchy for large-scale visual recognition, ICCV, 2011.

K. J. Gaston and M. A. Neill, Automated species identification: why not?, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.359, issue.1444, pp.655-667, 1444.
DOI : 10.1098/rstb.2003.1442

A. Gionis, P. Indyk, and R. Motwani, Similarity search in high dimensions via hashing, VLDB, pp.518-529, 1999.

B. Girod, V. Chandrasekhar, M. David, N. Chen, R. Cheung et al., Mobile Visual Search, IEEE Signal Processing Magazine, vol.28, issue.4, pp.61-76, 2011.
DOI : 10.1109/MSP.2011.940881

S. Godbole, S. Sarawagi, and S. Chakrabarti, Scaling multi-class support vector machines using inter-class confusion, Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '02, 2002.
DOI : 10.1145/775047.775122

Y. Gong and S. Lazebnik, Iterative quantization: A procrustean approach to learning binary codes, CVPR 2011, pp.817-824, 2011.
DOI : 10.1109/CVPR.2011.5995432

V. Gouet and N. Boujemaa, Object-based queries using color points of interest, Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001), pp.30-38, 2001.
DOI : 10.1109/IVL.2001.990853

A. Guttman, R-trees: A dynamic index structure for spatial searching, Proc. of ACM SIGMOD Conf. of Management of Data, pp.47-57, 1984.

J. Haitsma and T. Kalker, A highly robust audio fingerprinting system, ISMIR, pp.107-115, 2002.

A. Hamzaoui, Shared-Neighbours methods for visual content structuring and mining . Theses, 2012.
URL : https://hal.archives-ouvertes.fr/tel-00856582

J. Heo, Y. Lee, J. He, S. Chang, and S. Yoon, Spherical hashing, Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, pp.2957-2964, 2012.

P. Indyk and R. Motwani, Approximate nearest neighbors, Proceedings of the thirtieth annual ACM symposium on Theory of computing , STOC '98, pp.604-613, 1998.
DOI : 10.1145/276698.276876

P. Jain, S. Vijayanarasimhan, and K. Grauman, Hashing hyperplane queries to near points with applications to large-scale active learning, NIPS, 2010.

A. Raymond, . Jarvis, A. Edward, and . Patrick, Clustering using a similarity measure based on shared near neighbors. Computers, IEEE Transactions on, vol.100, issue.11, pp.1025-1034, 1973.

H. Jégou, F. Perronnin, M. Douze, and C. Schmid, Aggregating local image descriptors into compact codes. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.34, issue.9, pp.1704-1716, 2012.

H. Jegou, M. Douze, and C. Schmid, Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search, Computer Vision?ECCV 2008, pp.304-317, 2008.
DOI : 10.1007/978-3-540-88682-2_24

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

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, 2010.
DOI : 10.1109/TPAMI.2010.57

H. Jegou, M. Douze, and C. Schmid, Product quantization for nearest neighbor search. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.33, issue.1, pp.117-128, 2011.
URL : https://hal.archives-ouvertes.fr/inria-00514462

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, pp.3304-3311, 2010.
DOI : 10.1109/CVPR.2010.5540039

W. B. Johnson and J. Lindenstrauss, Extensions of Lipschitz mappings into a Hilbert space, Conf. in modern analysis and probability, pp.189-206, 1984.
DOI : 10.1090/conm/026/737400

H. Jgou, 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

N. Katayama and S. Satoh, The sr-tree: An index structure for high-dimensional nearest neighbor queries, Proc. of ACM SIGMOD Int. Conf. on Management of Data, pp.369-380, 1997.

Y. Ke, R. Sukthankar, and L. Huston, Efficient near-duplicate detection and sub-image retrieval, ACM Multimedia, p.5, 2004.
DOI : 10.1145/1027527.1027729

M. Kokare, P. Bn-chatterji, and . Biswas, A Survey on Current Content based Image Retrieval Methods, IETE Journal of Research, vol.10, issue.2, pp.261-271, 2002.
DOI : 10.1117/12.298455

F. Korn, B. Pagel, and C. Faloutsos, On the dimensionality curse and the self-similarity blessing. Knowledge and Data Engineering, IEEE Transactions on, vol.13, issue.1, pp.96-111, 2001.

J. Krapac, M. Allan, J. Verbeek, and F. Jurie, Improving web image search results using query-relative classifiers, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.1094-1101, 2010.
DOI : 10.1109/CVPR.2010.5540092

URL : https://hal.archives-ouvertes.fr/inria-00548636

B. Kulis and K. Grauman, Kernelized locality-sensitive hashing for scalable image search, 2009 IEEE 12th International Conference on Computer Vision, pp.2130-2137, 2009.
DOI : 10.1109/ICCV.2009.5459466

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), pp.2169-2178, 2006.
DOI : 10.1109/CVPR.2006.68

URL : https://hal.archives-ouvertes.fr/inria-00548585

D. Lee, B. Robert, D. Schoenberger, X. Shiozawa, P. Xu et al., Contour matching for a fish recognition and migration-monitoring system, Two- and Three-Dimensional Vision Systems for Inspection, Control, and Metrology II, pp.37-48, 2004.
DOI : 10.1117/12.571789

S. Michael, N. Lew, C. Sebe, R. Djeraba, and . Jain, Content-based multimedia information retrieval: State of the art and challenges, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), pp.1-19, 2006.

P. Li, A. Shrivastava, J. L. Moore, and A. C. König, Hashing algorithms for large-scale learning, Advances in Neural Information Processing Systems 24, 2011.

R. Lin, D. A. Ross, and J. Yagnik, SPEC hashing: Similarity preserving algorithm for entropy-based coding, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.848-854, 2010.
DOI : 10.1109/CVPR.2010.5540129

H. Liu and H. Motoda, Feature extraction, construction and selection: A data mining perspective, 1998.
DOI : 10.1007/978-1-4615-5725-8

T. Liu, W. Andrew, K. Moore, A. Yang, and . Gray, An investigation of practical approximate nearest neighbor algorithms, Advances in neural information processing systems, pp.825-832, 2004.

T. Liu, C. Rosenberg, A. Henry, and . Rowley, Clustering Billions of Images with Large Scale Nearest Neighbor Search, 2007 IEEE Workshop on Applications of Computer Vision (WAC V '07), pp.28-28, 2007.
DOI : 10.1109/WACV.2007.18

Y. Liu, D. Zhang, G. Lu, and W. Ma, A survey of content-based image retrieval with high-level semantics, Pattern Recognition, vol.40, issue.1, pp.262-282, 2007.
DOI : 10.1016/j.patcog.2006.04.045

Q. Lv, W. Josephson, Z. Wang, M. Charikar, and K. Li, Multi-probe lsh: efficient indexing for high-dimensional similarity search, Proc. of Conf. on Very Large Data Bases, pp.253-262, 2007.

S. Lyu, Mercer kernels for object recognition with local features, Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, pp.223-229, 2005.

M. Marszaa-lek and C. Schmid, Accurate Object Recognition with Shape Masks, International Journal of Computer Vision, vol.73, issue.2, pp.191-209, 2012.
DOI : 10.1007/s11263-011-0479-2

T. Mei, Y. Rui, S. Li, and Q. Tian, Multimedia search reranking, ACM Computing Surveys, vol.46, issue.3, p.38, 2014.
DOI : 10.1145/2536798

K. Mikolajczyk and C. Schmid, Indexing based on scale invariant interest points, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.525-531, 2001.
DOI : 10.1109/ICCV.2001.937561

URL : https://hal.archives-ouvertes.fr/inria-00548276

Y. Mu, J. Shen, and S. Yan, Weakly-supervised hashing in kernel space, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.3344-3351, 2010.
DOI : 10.1109/CVPR.2010.5540024

M. Muja, G. David, and . Lowe, Fast approximate nearest neighbors with automatic algorithm configuration, pp.331-340, 2009.

E. Nowak, F. Jurie, and B. Triggs, Sampling Strategies for Bag-of-Features Image Classification, Computer Vision?ECCV 2006, pp.490-503, 2006.
DOI : 10.1007/11744085_38

URL : https://hal.archives-ouvertes.fr/hal-00203752

A. Opelt, A. Pinz, M. Fussenegger, and P. Auer, Generic object recognition with boosting. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.28, issue.3, pp.416-431, 2006.

R. Panigrahy, Entropy based nearest neighbor search in high dimensions, Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm , SODA '06, pp.1186-1195, 2006.
DOI : 10.1145/1109557.1109688

S. Papadopoulos and R. Troncy, Vasileios Mezaris, Benoit Huet, and Ioannis Kompatsiaris. Social event detection at mediaeval 2011: Challenges, dataset and evaluation, MediaEval, 2011.

S. Papadopoulos, C. Zigkolis, Y. Kompatsiaris, and A. Vakali, Cluster-Based Landmark and Event Detection for Tagged Photo Collections, IEEE Multimedia, vol.18, issue.1, 2010.
DOI : 10.1109/MMUL.2010.68

M. Patella and P. Ciaccia, Approximate similarity search: A multi-faceted problem, Journal of Discrete Algorithms, vol.7, issue.1, pp.36-48, 2009.
DOI : 10.1016/j.jda.2008.09.014

L. Paulevé, H. Jégou, and L. Amsaleg, Locality sensitive hashing: A comparison of hash function types and querying mechanisms, Pattern Recognition Letters, vol.31, issue.11, pp.311348-1358, 2010.
DOI : 10.1016/j.patrec.2010.04.004

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, 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. 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, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383172

S. Poullot, O. Buisson, and M. Crucianu, Z-grid-based probabilistic retrieval for scaling up content-based copy detection, Proceedings of the 6th ACM international conference on Image and video retrieval, CIVR '07, pp.348-355, 2007.
DOI : 10.1145/1282280.1282334

URL : https://hal.archives-ouvertes.fr/hal-01125285

M. Raginsky and S. Lazebnik, Locality-sensitive binary codes from shiftinvariant kernels, Advances in neural information processing systems, pp.1509-1517, 2009.

I. Ramirez, P. Sprechmann, and G. Sapiro, Classification and clustering via dictionary learning with structured incoherence and shared features, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.3501-3508, 2010.
DOI : 10.1109/CVPR.2010.5539964

A. Rebai, Interactive Object Retrieval using Interpretable Visual Models. Theses, 2011.
URL : https://hal.archives-ouvertes.fr/tel-00608467

S. Romberg, L. Garcia-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

Y. Rui, S. Thomas, M. Huang, S. Ortega, and . Mehrotra, Relevance feedback: a power tool for interactive content-based image retrieval. Circuits and Systems for Video Technology, IEEE Transactions on, vol.8, issue.5, pp.644-655, 1998.

O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh et al., Imagenet large scale visual recognition challenge. arXiv preprint, 2014.
DOI : 10.1007/s11263-015-0816-y

URL : http://arxiv.org/abs/1409.0575

R. Salakhutdinov, A. Mnih, and G. Hinton, Restricted Boltzmann machines for collaborative filtering, Proceedings of the 24th international conference on Machine learning, ICML '07, pp.791-798, 2007.
DOI : 10.1145/1273496.1273596

D. Schnitzer, A. Flexer, and G. Widmer, A fast audio similarity retrieval method for millions of music tracks, Multimedia Tools and Applications, vol.35, issue.5, pp.23-40, 2012.
DOI : 10.1007/s11042-010-0679-8

G. Shakhnarovich, T. Darrell, and P. Indyk, Nearest-Neighbor Methods in Learning and Vision: Theory and Practice, 2006.

J. Shawe-taylor and N. Cristianini, Kernel methods for pattern analysis, 2004.
DOI : 10.1017/CBO9780511809682

J. Sivic and A. Zisserman, Video Google: a text retrieval approach to object matching in videos, Proceedings Ninth IEEE International Conference on Computer Vision, pp.1470-1477, 2003.
DOI : 10.1109/ICCV.2003.1238663

W. Arnold, M. Smeulders, S. Worring, A. Santini, R. Gupta et al., Content-based image retrieval at the end of the early years. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.22, issue.12, pp.1349-1380, 2000.

R. John, S. Smith, and . Chang, Visualseek: a fully automated content-based image query system, Proceedings of the fourth ACM international conference on Multimedia, pp.87-98, 1997.

C. Spampinato, Y. Chen-burger, G. Nadarajan, and R. B. Fisher, Detecting, tracking and counting fish in low quality unconstrained underwater videos, Citeseer, vol.VISAPP, issue.2, pp.514-519, 2008.

L. Brian, . Sullivan, L. Christopher, . Wood, J. Marshall et al., ebird: A citizen-based bird observation network in the biological sciences, Biological Conservation, vol.142, issue.10, pp.2282-2292, 2009.

A. Torralba, R. Fergus, T. William, and . Freeman, 80 million tiny images: A large data set for nonparametric object and scene recognition. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.30, issue.11, pp.1958-1970, 2008.

M. Towsey, B. Planitz, A. Nantes, J. Wimmer, and P. Roe, A toolbox for animal call recognition, Bioacoustics, vol.123, issue.1, pp.107-125, 2012.
DOI : 10.1109/TASL.2006.872624

M. Vlad, . Trifa, N. Alexander, . Kirschel, E. Charles et al., Automated species recognition of antbirds in a mexican rainforest using hidden markov models, The Journal of the Acoustical Society of America, vol.123, p.2424, 2008.

R. Troncy, B. Malocha, T. André, and . Fialho, Linking events with media, Proceedings of the 6th International Conference on Semantic Systems, I-SEMANTICS '10, p.42, 2010.
DOI : 10.1145/1839707.1839759

T. Tuytelaars, M. Fritz, K. Saenko, and T. Darrell, The NBNN kernel, 2011 International Conference on Computer Vision, pp.1824-1831, 2011.
DOI : 10.1109/ICCV.2011.6126449

J. C. Van-gemert, C. J. Veenman, A. W. Smeulders, and J. M. Geusebroek, Visual word ambiguity. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.32, issue.7, pp.1271-1283, 2010.

A. Wang, An industrial strength audio search algorithm, ISMIR, pp.7-13, 2003.

J. Wang, J. Li, and G. Wiederhold, SIMPLIcity, Proceedings of the eighth ACM international conference on Multimedia , MULTIMEDIA '00, pp.947-963, 2001.
DOI : 10.1145/354384.376395

J. Wang, J. Yang, K. Yu, and F. Lv, Thomas Huang, and Yihong Gong. Locality-constrained linear coding for image classification, Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, pp.3360-3367, 2010.

J. Wang, S. Kumar, and S. Chang, Semi-supervised hashing for scalable image retrieval, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.3424-3431, 2010.
DOI : 10.1109/CVPR.2010.5539994

R. Weber, H. J. Schek, and S. Blott, A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces, Proc. of Int. Conf. on Very Large Data Bases, pp.194-205, 1998.

R. Weber, H. Schek, and S. Blott, A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces, VLDB, pp.194-205, 1998.

Y. Weiss, A. Torralba, and R. Fergus, Spectral hashing, Advances in neural information processing systems, pp.1753-1760, 2009.

C. Y. Jian-xiong-dong, A. Suen, and . Krzyzak, Effective shrinkage of large multi-class linear svm models for text categorization, 2008 19th International Conference on Pattern Recognition, 2008.
DOI : 10.1109/ICPR.2008.4761782

A. Yoshitaka and T. Ichikawa, A survey on content-based retrieval for multimedia databases. Knowledge and Data Engineering, IEEE Transactions on, vol.11, issue.1, pp.81-93, 1999.

H. Yu, C. Hsieh, K. Chang, and C. Lin, Large linear classification when data cannot fit in memory, ACM Trans. Knowl. Discov. Data, 2012.

P. Zezula, P. Savino, G. Amato, and F. Rabitti, Approximate similarity retrieval with M-trees, The VLDB Journal The International Journal on Very Large Data Bases, vol.7, issue.4, pp.275-293, 1998.
DOI : 10.1007/s007780050069

J. Zhai, Y. Lou, and J. Gehrke, ATLAS, Proceedings of the 2011 international conference on Management of data, SIGMOD '11, pp.997-1008, 2011.
DOI : 10.1145/1989323.1989428

P. Zhao and B. Yu, Stagewise lasso, The Journal of Machine Learning Research, vol.8, pp.2701-2726, 2007.

S. Xiang, . Zhou, S. Thomas, and . Huang, Relevance feedback in image retrieval: A comprehensive review Multimedia systems, pp.536-544, 2003.

V. Bakic, S. Sofì-ene-mouine, A. Ouertani-litayem, I. Verroust-blondet, H. Yahiaoui et al., Inria's participation at imageclef 2013 plant identification task, CLEF (Online Working Notes, p.2013, 2013.

V. Bakic, I. Yahiaoui, S. Mouine, S. Litayem-ouertani, W. Ouertani et al., Inria imedia2's participation at imageclef 2012 plant identification task, CLEF (Online Working Notes, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00744901

B. Caputo, H. Muller, B. Thomee, M. Villegas, R. Paredes et al., ImageCLEF 2013: The Vision, the Data and the Open Challenges, Information Access Evaluation. Multilinguality, Multimodality, and Visualization, pp.250-268, 2013.
DOI : 10.1007/978-3-642-40802-1_26

H. Goëau, P. Bonnet, J. Barbe, V. Bakic, A. Joly et al., Multi-organ plant identification, Proceedings of the 1st ACM international workshop on Multimedia analysis for ecological data, MAED '12, pp.41-44, 2012.
DOI : 10.1145/2390832.2390843

H. Goëau, P. Bonnet, A. Joly, A. Affouard, V. Bakic et al., Pl@ntNet Mobile 2014, Proceedings of International Conference on Multimedia Retrieval, ICMR '14, p.527, 2014.
DOI : 10.1145/2578726.2582618

H. Goëau, P. Bonnet, A. Joly, N. Boujemaa, and D. Barthelemy, al. The imageclef 2011 plant images classification task, ImageCLEF, 2011.

H. Goëau, P. Bonnet, A. Joly, N. Boujemaa, and D. Barthelemy, al. The imageclef 2012 plant identification task, CLEF working notes 2012, 2012.

H. Goëau, A. Joly, P. Bonnet, J. Barbe, S. Selmi et al., Jean-François Molino, Daniel Barthélémy, and Nozha Boujemaa. A look inside the pl@ntnet experience: the good, the bias and the hope, Multimedia Systems, pp.0-0, 2015.

H. Goëau, A. Joly, S. Selmi, P. Bonnet, E. Mouysset et al., Visual-based plant species identification from crowdsourced data, Proceedings of the 19th ACM international conference on Multimedia, MM '11, pp.813-814, 2011.
DOI : 10.1145/2072298.2072472

H. Goëau, A. Joly, I. Yahiaoui, V. Bakic, A. Verroust-blondet et al., Plantnet participation at lifeclef2014 plant identification task, CLEF2014 Working Notes. Working Notes for CLEF 2014 Conference, pp.724-737, 2014.

A. Hamzaoui, A. Joly, and N. Boujemaa, Multi-source RSC Model for Multiple Search Result Clustering, 2009 Second International Conference on Computer and Electrical Engineering, pp.1-4, 2010.
DOI : 10.1109/ICCEE.2009.55

A. Hamzaoui, A. Joly, and N. Boujemaa, Multi-source shared nearest neighbours for multi-modal image clustering. Multimedia Tools and Applications, pp.479-503, 2011.
URL : https://hal.archives-ouvertes.fr/inria-00496170

A. Hamzaoui, P. Letessier, A. Joly, O. Buisson, and N. Boujemaa, Object-based visual query suggestion. Multimedia Tools and Applications, pp.429-454, 2014.
DOI : 10.1007/s11042-012-1340-5

URL : https://hal.archives-ouvertes.fr/hal-00806635

A. Joly, Recherche par similarité statistique dans une grande base de signatures locales pour l'identification rapide d'extraits vidéo, 2005.

A. Joly, C. Buisson, and . Frelicot, Content-Based Copy Retrieval Using Distortion-Based Probabilistic Similarity Search, IEEE Transactions on Multimedia, vol.9, issue.2, pp.293-306, 2007.
DOI : 10.1109/TMM.2006.886278

A. Joly, Imageval task 1: Retrieving transformed images with new local descriptors based on dissociated dipoles, 2007.

A. Joly, New local descriptors based on dissociated dipoles, Proceedings of the 6th ACM international conference on Image and video retrieval, CIVR '07, pp.573-580, 2007.
DOI : 10.1145/1282280.1282362

A. Joly and O. Buisson, Discriminant local features selection using efficient density estimation in a large database, Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval , MIR '05, pp.201-208, 2005.
DOI : 10.1145/1101826.1101859

A. Joly and O. Buisson, A posteriori multi-probe locality sensitive hashing, Proceeding of the 16th ACM international conference on Multimedia, MM '08, pp.209-218, 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, pp.581-584, 2009.
DOI : 10.1145/1631272.1631361

A. Joly and O. Buisson, Random maximum margin hashing, CVPR 2011, pp.873-880, 2011.
DOI : 10.1109/CVPR.2011.5995709

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

A. Joly, O. Buisson, and C. Frelicot, Content-based copy retrieval using distortion-based probabilistic similarity search. Multimedia, IEEE Transactions on, vol.9, issue.2, pp.293-306, 2007.
DOI : 10.1109/tmm.2006.886278

A. Joly, C. Frélicot, and O. Buisson, Robust Content-Based Video Copy Identification in a Large Reference Database, Image and Video Retrieval, pp.414-424, 2003.
DOI : 10.1007/3-540-45113-7_41

A. Joly, C. Frélicot, and O. Buisson, Feature statistical retrieval applied to content-based copy identification, 2004 International Conference on Image Processing, 2004. ICIP '04., pp.681-684, 2004.
DOI : 10.1109/ICIP.2004.1418846

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.8971

A. Joly, C. Frélicot, and O. Buisson, Content-based video copy detection in large databases: a local fingerprints statistical similarity search approach, IEEE International Conference on Image Processing 2005, p.505, 2005.
DOI : 10.1109/ICIP.2005.1529798

A. Joly, H. Goëau, P. Bonnet, V. Bakic, J. Molino et al., The imageclef plant identification task 2013, International workshop on Multimedia analysis for ecological data, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00908934

A. Joly, H. Goëau, H. Glotin, C. Spampinato, P. Bonnet et al., LifeCLEF 2014: Multimedia Life Species Identification Challenges, Information Access Evaluation. Multilinguality, Multimodality, and Interaction, pp.229-249, 2014.
DOI : 10.1007/978-3-319-11382-1_20

URL : https://hal.archives-ouvertes.fr/hal-01075770

A. Joly, J. Law-to, and N. Boujemaa, Inria-imedia trecvid 2008: Video copy detection, TRECVID, 2008.

J. Law-to, N. Joly, and . Boujemaa, Muscle-vcd-2007: a live benchmark for video copy detection, 2007.

J. Law-to, L. Chen, A. Joly, I. Laptev, O. Buisson et al., Video copy detection, Proceedings of the 6th ACM international conference on Image and video retrieval, CIVR '07, pp.371-378, 2007.
DOI : 10.1145/1282280.1282336

J. Law-to, A. Joly, L. Joyeux, N. Boujemaa, O. Buisson et al., Video and image copy detection demo, Proceedings of the 6th ACM international conference on Image and video retrieval, CIVR '07, pp.97-100, 2007.
DOI : 10.1145/1282280.1282295

P. Letessier, O. Buisson, and A. Joly, Consistent visual words mining with adaptive sampling, Proceedings of the 1st ACM International Conference on Multimedia Retrieval, ICMR '11, p.49, 2011.
DOI : 10.1145/1991996.1992045

URL : https://hal.archives-ouvertes.fr/hal-00642202

P. Letessier, O. Buisson, and A. Joly, Scalable mining of small visual objects, Proceedings of the 20th ACM international conference on Multimedia, MM '12, pp.599-608, 2012.
DOI : 10.1145/2393347.2393431

URL : https://hal.archives-ouvertes.fr/hal-00739735

P. Letessier, O. Buisson, and A. Joly, Scalable mining of small visual objects (with new experiments), 2013.
URL : https://hal.archives-ouvertes.fr/hal-00912560

P. Letessier, N. Hervé, J. Champ, A. Joly, B. Olivier et al., Small objects query suggestion in a large web-image collection, Proceedings of the 21st ACM international conference on Multimedia, MM '13, pp.417-418, 2013.
DOI : 10.1145/2502081.2502248

URL : https://hal.archives-ouvertes.fr/hal-00908891

V. Leveau, A. Joly, O. Buisson, P. Letessier, and P. Valduriez, Recognizing Thousands of Legal Entities through Instance-based Visual Classification, Proceedings of the ACM International Conference on Multimedia, MM '14, pp.1029-1032, 2014.
DOI : 10.1145/2647868.2655038

URL : https://hal.archives-ouvertes.fr/hal-01077508

S. Litayem, A. Joly, and N. Boujemaa, Interactive objects retrieval with efficient boosting, Proceedings of the seventeen ACM international conference on Multimedia, MM '09, pp.545-548, 2009.
DOI : 10.1145/1631272.1631352

URL : https://hal.archives-ouvertes.fr/hal-00724876

A. Saloua-litayem-ouertani, N. Joly, and . Boujemaa, Hash-based support vector machines approximation for large scale prediction, British Machine Vision Conference, 2012.

A. Rebai, A. Joly, and N. Boujemaa, Interpretable visual models for human perception-based object retrieval, Proceedings of the 1st ACM International Conference on Multimedia Retrieval, ICMR '11, p.21, 2011.
DOI : 10.1145/1991996.1992017

URL : https://hal.archives-ouvertes.fr/hal-00642232

A. Rebai, A. Joly, and N. Boujemaa, BLasso for object categorization and retrieval: Towards interpretable visual models, Pattern Recognition, vol.45, issue.6, pp.2377-2389, 2012.
DOI : 10.1016/j.patcog.2011.11.022

URL : https://hal.archives-ouvertes.fr/hal-00739706

M. Riadh-trad, A. Joly, and N. Boujemaa, Large scale visual-based event matching, Proceedings of the 1st ACM International Conference on Multimedia Retrieval, p.53, 2011.

M. Riadh-trad, A. Joly, and N. Boujemaa, Distributed knn-graph approximation via hashing, Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, p.43, 2012.

M. Riadh-trad, A. Joly, and N. Boujemaa, Large scale knn-graph approximation, Data Mining Workshops (ICDMW), 2012 IEEE 12th International Conference on, pp.439-448, 2012.