F. Anklesaria and M. Mccahill, The Internet Gopher, Astrophysics and Space Science Library, vol.182, pp.119-125, 1993.
DOI : 10.1007/978-0-585-33110-2_9

P. R. Bagley, Electronic Digital Machines for High-Speed Information Searching, 1951.

S. Barton, V. Dohnal, J. Sedmidubsky, and P. Zezula, Building self-organized image retrieval network, Proceeding of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval, LSDS-IR '08, pp.51-58, 2008.
DOI : 10.1145/1458469.1458474

G. Baudat and F. Anouar, Generalized Discriminant Analysis Using a Kernel Approach, Neural Computation, vol.25, issue.10, pp.2385-2404, 2000.
DOI : 10.1016/0893-6080(90)90049-Q

J. Becker and R. M. Hayes, Information storage and retrieval: tools, elements, theories. Information sciences series, 1967.

C. Beecks, M. S. Uysal, and T. Seidl, Signature quadratic form distances for content-based similarity, Proceedings of the seventeen ACM international conference on Multimedia, MM '09, pp.697-700, 2009.
DOI : 10.1145/1631272.1631391

S. Berretti, A. D. Bimbo, and P. Pala, Merging results of distributed image libraries, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698), 2003.
DOI : 10.1109/ICME.2003.1221241

S. Berretti, A. D. Bimbo, and P. Pala, Merging results for distributed content based image retrieval. Multimedia Tools and Applications, pp.215-232, 2004.

D. M. Blei, A. Y. Ng, and M. I. Jordan, Latent dirichlet allocation, The Journal of Machine Learning Research, vol.3, pp.993-1022, 2003.

S. Boag, D. Chamberlin, M. F. Fernández, D. Florescu, J. Robie et al., XQuery 1.0: An XML Query Language, 2007.

D. Borth and A. Ulges, Automatic concept-to-query mapping for web-based concept detector training, Proceedings of the 19th ACM international conference on Multimedia, MM '11, pp.1453-1456, 2011.
DOI : 10.1145/2072298.2072038

K. Bosch, Formelsammlung Statistik, p.97, 2003.

F. Boureau, Y. Bach, J. Lecun, and . Ponce, INSA de Lyon, tous droits réservés Learning mid-level features for recognition, these.pdf © [C. Vilsmaier] Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, pp.2559-2566, 2010.

V. Bush, As we may think. interactions, pp.35-46, 1945.

T. Caesar, J. Gloger, and E. Mandler, Preprocessing and feature extraction for a handwriting recognition system, Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93), pp.408-411, 1993.
DOI : 10.1109/ICDAR.1993.395706

P. P. Chan, Z. Huang, W. W. Ng, and D. S. Yeung, Dynamic hierarchical semantic network based image retrieval using relevance feedback, 2011 International Conference on Machine Learning and Cybernetics, pp.1746-1751, 2011.
DOI : 10.1109/ICMLC.2011.6017037

S. Chang, J. R. Smith, A. Beigi, and . Benitez, Visual information retrieval from large distributed online repositories, Communications of the ACM, vol.40, issue.12, pp.63-71, 1997.
DOI : 10.1145/265563.265573

O. Chum and A. Zisserman, An Exemplar Model for Learning Object Classes, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383050

R. Datta, D. Joshi, J. Li, and J. Z. Wang, Image retrieval, ACM Computing Surveys, vol.40, issue.2, pp.1-60, 2008.
DOI : 10.1145/1348246.1348248

S. C. Deerwester, S. T. Dumais, T. K. Landauer, G. W. Furnas, and R. A. Harshman, Indexing by latent semantic analysis, Journal of the American Society for Information Science, vol.41, issue.6, pp.41391-407, 1990.
DOI : 10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9

J. Deng, A. Berg, K. Li, and L. Fei-fei, What does classifying more than 10,000 image categories tell us? Computer VisionECCV, pp.71-84, 2010.

T. Deselaers, D. Keysers, and H. Ney, Features for image retrieval: an experimental comparison, Information Retrieval, vol.3, issue.2, pp.77-107, 2007.
DOI : 10.1007/s10791-007-9039-3

C. Ding and H. Peng, MINIMUM REDUNDANCY FEATURE SELECTION FROM MICROARRAY GENE EXPRESSION DATA, Journal of Bioinformatics and Computational Biology, vol.03, issue.02, pp.185-205, 2005.
DOI : 10.1142/S0219720005001004

K. Doi, S. Katsuragawa, J. Morishita, and X. Xu, Computer-aided method for automated image feature analysis and diagnosis of medical images, p.690, 1998.

M. D. ¨-oller, F. Stegmaier, H. Kosch, R. Tous, J. Delgado et al., Standardized interoperable image retrieval, Proceedings of the 25th ACM Symposium on Applied Computing The MPEG Query Format: Unifying Access to Multimedia Retrieval Systems. IEEE Multimedia, pp.880-88682, 2008.

C. Dorai and S. Venkatesh, Bridging the semantic gap with computational media aesthetics, IEEE Multimedia, vol.10, issue.2, pp.15-17, 2003.
DOI : 10.1109/MMUL.2003.1195157

T. Ebrahimi, Overview of JPSearch: A standard for image search and retrieval, these.pdf © [C. Vilsmaier] INSA de Lyon, tous droits réservés [31] F. Dufaux, M. Ansorge, Content-Based Multimedia Indexing CBMI'07. International Workshop on, pp.138-143, 2007.

R. Eberhart and J. Kennedy, A new optimizer using particle swarm theory, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science, pp.39-43, 1995.
DOI : 10.1109/MHS.1995.494215

M. Ehrig, Ontology alignment: bridging the semantic gap, 2006.

H. Eidenberger, Evaluation of content-based image descriptors by statistical methods, Multimedia Tools and Applications (MTA), pp.241-258, 2007.
DOI : 10.1007/s11042-007-0106-y

R. El-hajj, L. Likforman-sulem, and C. Mokbel, Arabic handwriting recognition using baseline dependant features and hidden Markov modeling, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), pp.893-897, 2005.
DOI : 10.1109/ICDAR.2005.53

A. Emtage and P. Deutsch, Archie, Proceedings of the Winter 1992 USENIX Conference, pp.93-110, 1992.
DOI : 10.1007/978-0-585-33110-2_7

P. Enser and C. Sandom, Towards a Comprehensive Survey of the Semantic Gap in Visual Image Retrieval, Image and Video Retrieval, pp.291-299, 2003.
DOI : 10.1007/3-540-45113-7_29

P. Enser and C. Sandom, Towards a Comprehensive Survey of the Semantic Gap in Visual Image Retrieval, Proceedings of the 2Nd International Conference on Image and Video Retrieval, CIVR'03, pp.291-299, 2003.
DOI : 10.1007/3-540-45113-7_29

C. Faloutsos, W. Equitz, M. Flickner, W. Niblack, D. Petkovic et al., Efficient and effective Querying by Image Content, Journal of Intelligent Information Systems, vol.2, issue.6, pp.231-262, 1994.
DOI : 10.1007/BF00962238

L. Fei-fei, R. Fergus, and P. Perona, Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories, Computer Vision and Image Understanding, vol.106, issue.1, pp.59-70, 2007.
DOI : 10.1016/j.cviu.2005.09.012

Y. Feng and P. Shi, Face detection based on kernel fisher discriminant analysis, Automatic Face and Gesture Recognition Proceedings. Sixth IEEE International Conference on, pp.381-384, 2004.

R. Fergus, P. Perona, and A. Zisserman, Object class recognition by unsupervised scaleinvariant learning, Proceedings of the 16th Conference on Computer Vision and Pattern Recognition, pp.264-271, 2003.

R. A. Fisher, THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS, Annals of Eugenics, vol.59, issue.2, pp.179-188, 1936.
DOI : 10.1111/j.1469-1809.1936.tb02137.x

E. A. Fox and J. A. Shaw, Combination of Multiple Searches The 2nd Text Retrieval Conference TREC2 NIST SP 500215, volume 500-215 of NIST Special Publication, NIST, National Institute for Standards and Technology, pp.243-252, 1994.

G. Frederix, G. Caenen, and E. Pauwels, Panoramic, adaptive and reconfigurable interface for similarity search, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), pp.222-225, 2000.
DOI : 10.1109/ICIP.2000.899335

M. L. Giger, K. Doi, and H. Macmahon, Image feature analysis and computer-aided diagnosis in digital radiography. 3. Automated detection of nodules in peripheral lung fields, Medical Physics, vol.15, issue.2, pp.158-166, 1988.
DOI : 10.1118/1.596247

G. G. Gordon, Face recognition based on depth and curvature features In Computer Vision and Pattern Recognition, Proceedings CVPR'92 IEEE Computer Society Conference on, pp.808-810, 1992.

P. Gupta and K. Johari, Implementation of Web Crawler, 2009 Second International Conference on Emerging Trends in Engineering & Technology, pp.838-843, 2009.
DOI : 10.1109/ICETET.2009.124

M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann et al., The WEKA data mining software, SIGKDD Explorations (SIGKDD), pp.10-18, 2009.
DOI : 10.1145/1656274.1656278

J. S. Hare, P. H. Lewis, P. G. Enser, and C. J. Sandom, Mind the gap: another look at the problem of the semantic gap in image retrieval, Multimedia Content Analysis, Management, and Retrieval 2006, 2006.
DOI : 10.1117/12.647755

J. S. Hare, P. A. Sinclair, P. H. Lewis, K. Martinez, P. G. Enser et al., Bridging the semantic gap in multimedia information retrieval: Top-down and bottom-up approaches, 3rd European Semantic Web Conference (ESWC-06), LNCS 4011, 2006.

A. S. Hornby, Oxford Advanced Learner's Dictionary, 2005.

C. Huang, K. Lan, and C. Tsai, A Survey of Opportunistic Networks, 22nd International Conference on Advanced Information Networking and Applications, Workshops (aina workshops 2008), pp.1672-1677, 2008.
DOI : 10.1109/WAINA.2008.292

Y. Huang, S. Luo, and E. Chen, An efficient iris recognition system, Machine Learning and Cybernetics Proceedings. 2002 International Conference on, pp.450-454, 2002.

D. P. Huttenlocher, G. A. Klanderman, G. A. Kl, and W. J. Rucklidge, Comparing images using the Hausdorff distance, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.15, issue.9, pp.850-863, 1993.
DOI : 10.1109/34.232073

F. Jing, M. Li, H. Zhang, and B. Zhang, A unified framework for image retrieval using keyword and visual features, IEEE Transactions on Image Processing, vol.14, issue.7, pp.979-989, 2005.
DOI : 10.1109/TIP.2005.847289

D. Joshi, J. Z. Wang, and J. Li, The Story Picturing Engine---a system for automatic text illustration, ACM Transactions on Multimedia Computing Communications and Applications, pp.68-89, 2006.
DOI : 10.1145/1126004.1126008

A. Kent, Information analysis and retrieval. Information sciences series, 1971.

A. Kent, M. M. Berry, F. U. Luehrs-jr, and J. W. Perry, Machine literature searching VIII. Operational criteria for designing information retrieval systems, these.pdf © [C. Vilsmaier], pp.93-101, 1955.
DOI : 10.1002/asi.5090060209

M. L. Kherfi, D. Ziou, and A. Bernardi, Image Retrieval from the World Wide Web, ACM Computing Surveys, vol.36, issue.1, pp.35-67, 2004.
DOI : 10.1145/1013208.1013210

C. A. Knoblock, Searching the world wide web, IEEE Expert: Intelligent Systems and Their Applications, pp.8-14, 1997.

A. L. Koerich, R. Sabourin, and C. Y. Suen, Large vocabulary off-line handwriting recognition: A survey, Pattern Analysis & Applications, vol.6, issue.2, pp.97-121, 2003.
DOI : 10.1007/s10044-002-0169-3

V. H. Kondekar, V. S. Kolkure, and S. N. Kore, Image Retrieval Techniques based on Image Features, A State of Art approach for CBIR, Journal of Computer Science, vol.7, issue.1, pp.69-76, 2010.

H. Kosch and P. Maier, Content-Based Image Retrieval Systems -Reviewing and Benchmarking, Journal of Digital Information Management, vol.8, issue.1, pp.54-64, 2010.

T. Kurita and T. Taguchi, A modification of kernel-based Fisher discriminant analysis for face detection, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition, pp.300-305, 2002.
DOI : 10.1109/AFGR.2002.1004170

D. Kuropka, Modelle zur Repräsentation natürlichsprachlichernat¨natürlichsprachlicher Dokumente: Ontologie-basiertes Information-Filtering-und-Retrieval mit relationalen Datenbanken Advances in information systems and management science, 2004.

F. W. Lancaster, E. G. Lancaster, and E. G. Fayen, Information retrieval: on-line, 1973.

J. Lee, R. Jin, A. K. Jain, and W. Tong, Image Retrieval in Forensics: Tattoo Image Database Application, Multimedia in Forensics Security and Intelligence (MiFor), pp.2-11, 2012.
DOI : 10.1109/MMUL.2011.59

J. H. Lee, Analyses of multiple evidence combination, Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval SIGIR 97, pp.31267-276, 1997.

Y. Li, S. Gong, and H. Liddell, Recognising trajectories of facial identities using kernel discriminant analysis, Image and Vision Computing, vol.21, issue.13-14, pp.1077-1086, 2003.
DOI : 10.1016/j.imavis.2003.08.010

Y. Linde, A. Buzo, and R. M. Gray, An Algorithm for Vector Quantizer Design, IEEE Transactions on Communications, vol.28, issue.1, 1980.
DOI : 10.1109/TCOM.1980.1094577

Q. Liu, R. Huang, H. Lu, and S. Ma, Face recognition using kernel-based fisher discriminant analysis, Automatic Face and Gesture Recognition Proceedings. Fifth IEEE International Conference on, pp.197-201, 2002.

Q. Liu, H. Lu, and S. Ma, Improving kernel fisher discriminant analysis for face recognition . Circuits and Systems for Video Technology, IEEE Transactions on, vol.14, issue.1, pp.42-49, 2004.

D. Lu and Q. Weng, A survey of image classification methods and techniques for improving classification performance, International Journal of Remote Sensing, vol.61, issue.5, pp.823-870, 2007.
DOI : 10.1016/S0034-4257(01)00305-4

H. P. Luhn, Auto-encoding of Documents for Information Retrieval Systems, IBM Research Center, 1958.

M. Lux and S. A. Chatzichristofis, Lire: lucene image retrieval, Proceeding of the 16th ACM international conference on Multimedia, MM '08, pp.1085-1087, 2008.
DOI : 10.1145/1459359.1459577

H. M?, A review of content-based image retrieval systems in medical applicationsclinical benefits and future directions, International Journal of Medical Informatics, vol.73, issue.1, pp.1-23, 2004.

L. Ma, T. Tan, Y. Wang, and D. Zhang, Efficient Iris Recognition by Characterizing Key Local Variations, IEEE Transactions on Image Processing, vol.13, issue.6, pp.739-750, 2004.
DOI : 10.1109/TIP.2004.827237

L. Ma, Y. Wang, and T. Tan, Iris recognition using circular symmetric filters, Pattern Recognition Proceedings. 16th International Conference on, pp.414-417, 2002.

J. Maintz and M. A. Viergever, A survey of medical image registration, Medical Image Analysis, vol.2, issue.1, pp.1-36, 1998.
DOI : 10.1016/S1361-8415(01)80026-8

B. Manjunath, R. Chellappa, C. Von, and . Malsburg, A feature based approach to face recognition, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.373-378, 1992.
DOI : 10.1109/CVPR.1992.223162

M. E. Maron and J. L. Kuhns, On Relevance, Probabilistic Indexing and Information Retrieval, Journal of the ACM, vol.7, issue.3, pp.216-244, 1960.
DOI : 10.1145/321033.321035

O. Marques and B. Furht, Distributed multimedia databases: {T}echniques and applications, chapter 3: Content, Idea Group Inc (IGI), pp.37-57, 2002.

J. M. Martinez, R. Koenen, and F. Pereira, {MPEG-7}: {T}he generic multimedia content description standard, part 1. Multimedia, IEEE, vol.9, issue.2, pp.78-87, 2002.

J. Melton and A. Eisenberg, SQL multimedia and application packages (SQL/MM) Sigmod Record, pp.97-102, 2001.

J. Melton and A. Eisenberg, SQL multimedia and application packages (SQL/MM), ACM SIGMOD Record, vol.30, issue.4, pp.97-102, 2001.
DOI : 10.1145/604264.604280

D. Metzler and W. B. Croft, Linear feature-based models for information retrieval, Information Retrieval, vol.10, issue.3, pp.257-274, 2007.
DOI : 10.1007/s10791-006-9019-z

D. E. Millard, N. M. Gibbins, D. T. Michaelides, and M. J. , Mind the semantic gap, Proceedings of the sixteenth ACM conference on Hypertext and hypermedia , HYPERTEXT '05, pp.54-62, 2005.
DOI : 10.1145/1083356.1083367

C. N. Mooers, Information retrieval viewed as temporal signaling, Proceedings of the International Congress of Mathematicians, pp.572-573, 1950.

H. M. Uller, P. Clough, H. M. ¨-uller, N. Michoux, D. Bandon et al., The ImageCLEF benchmark on Multimodal A review of content-based image retrieval systems in medical applicationsclinical benefits and future directions, Multilingual Visual Image Retrieval. IAPR Newsletter International Journal of Medical Informatics, vol.28, issue.731, pp.13-171, 2004.

M. Nabti and A. Bouridane, An effective and fast iris recognition system based on a combined multiscale feature extraction technique, Pattern Recognition, vol.41, issue.3, pp.868-879, 2008.
DOI : 10.1016/j.patcog.2007.06.030

J. A. Nelder and R. Mead, A Simplex Method for Function Minimization, The Computer Journal, vol.7, issue.4, pp.308-313, 1965.
DOI : 10.1093/comjnl/7.4.308

A. Neumaier, Solving Ill-Conditioned and Singular Linear Systems: A Tutorial on Regularization, SIAM Review, vol.40, issue.3, pp.636-666, 1998.
DOI : 10.1137/S0036144597321909

T. Oreilly, What is Web 2.0: Design patterns and business models for the next generation of software, Communications & strategies, issue.1, p.17, 2007.

C. F. Overhage, R. J. Harman, and M. I. Technology, Intrex: report of a Planning Conference on Information Transfer Experiments, 1965.

G. P. Penney, J. Weese, J. A. Little, P. Desmedt, D. L. Hill et al., A comparison of similarity measures for use in 2-D-3-D medical image registration, IEEE Transactions on Medical Imaging, vol.17, issue.4, pp.586-595, 1998.
DOI : 10.1109/42.730403

A. Pentland, B. Moghaddam, and T. Starner, View-based and modular eigenspaces for face recognition, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94, pp.84-91, 1994.
DOI : 10.1109/CVPR.1994.323814

D. L. Pham, C. Xu, and J. L. Prince, Current methods in medical image segmentation 1. Annual review of biomedical engineering, pp.315-337, 2000.

P. J. Phillips, P. J. Flynn, T. Scruggs, K. W. Bowyer, and W. Worek, Preliminary Face Recognition Grand Challenge Results, 7th International Conference on Automatic Face and Gesture Recognition (FGR06), pp.15-24, 2006.
DOI : 10.1109/FGR.2006.87

D. Picard and M. Cord, Performances of Mobile-Agents for Interactive Image Retrieval, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06), pp.581-586, 2006.
DOI : 10.1109/WI.2006.129
URL : https://hal.archives-ouvertes.fr/hal-00449294

J. Platt, Sequential minimal optimization: A fast algorithm for training support vector machines, 1998.

K. Polat, S. Sahan, H. Kodaz, and S. , A New Classification Method for Breast Cancer Diagnosis: Feature Selection Artificial Immune Recognition System (FS-AIRS), these.pdf © [C. Vilsmaier] Advances in Natural Computation, pp.830-838, 2005.
DOI : 10.1007/11539117_117

A. C. Project and C. W. Cleverdon, Report on the testing and analysis of an investigation into the comparative efficiency of indexing systems, College of Aeronautics, 1962.

E. Riloff and L. Hollaar, Text databases and information retrieval, ACM Computing Surveys, vol.28, issue.1, pp.133-135, 1996.
DOI : 10.1145/234313.234371

S. E. Robertson, K. Sparck, and . Jones, Document retrieval systems. chapter Relevance Weighting of Search Terms, pp.143-160, 1988.

F. B. Rogers, The Development of MEDLARS, Bulletin of the Medical Library Association, vol.52, pp.150-151, 1964.

Y. Rubner, J. Puzicha, C. Tomasi, and J. M. Buhmann, Empirical Evaluation of Dissimilarity Measures for Color and Texture, Computer Vision and Image Understanding, vol.84, issue.1, pp.25-43, 2001.
DOI : 10.1006/cviu.2001.0934

Y. Rubner, C. Tomasi, and L. J. Guibas, The earth mover's distance as a metric for image retrieval, International Journal of Computer Vision, vol.40, issue.2, pp.99-121, 2000.
DOI : 10.1023/A:1026543900054

Y. Rui, T. Huang, M. Ortega, and S. 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.

H. Said, T. Tan, and K. Baker, Personal identification based on handwriting, Pattern Recognition, vol.33, issue.1, pp.149-160, 2000.
DOI : 10.1016/S0031-3203(99)00006-0

G. Salton, The SMART System ? Retrieval Results and Future Plans, 1966.

G. Salton, Automatic Information Organization and Retrieval, Journal Of Experimental Psychology. Learning Memory And Cognition, vol.9, issue.3, pp.430-439, 1968.

G. Salton, The smart document retrieval project, Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '91, pp.356-358, 1991.
DOI : 10.1145/122860.122897

G. Salton, E. A. Fox, and H. Wu, Extended Boolean information retrieval, Communications of the ACM, vol.26, issue.11, pp.1022-1036, 1983.
DOI : 10.1145/182.358466

G. Salton, A. Wong, and C. S. Yang, A vector space model for automatic indexing, Communications of the ACM, vol.18, issue.11, pp.613-620, 1975.
DOI : 10.1145/361219.361220

J. W. Sammon, A Nonlinear Mapping for Data Structure Analysis, IEEE Transactions on Computers, vol.18, issue.5, pp.18401-409, 1969.
DOI : 10.1109/T-C.1969.222678

J. W. Sammon and N. Y. , United States Air Development Centre Rome, TEchnical report. Clearinghouse for Federal Scientific and Technical Information, 1968.

J. Sedmidubsky, V. Dohnal, S. Barton, and P. Zezula, INSA de Lyon, tous droits réservés A Self-Organized System for Content-Based Search in Multimedia, Proceedings of the 10th International Symposium on Multimedia (ISM), pp.322-327, 2008.

T. Seymour, D. Frantsvog, and S. Kumar, History Of Search Engines, International Journal of Management & Information Systems (IJMIS), vol.15, issue.4, 2011.
DOI : 10.19030/ijmis.v15i4.5799

A. Singhal, Modern Information Retrieval : A Brief Overview, IEEE Data Engineering Bulletin, vol.24, issue.4, pp.1-9, 2001.

S. K. Sinha, K. Kumar-pandey, and D. Kushwah, A quick survey on latest content based image retrieval systems (cbirs), International Journal of Advanced Research in Computer Science and Electronics Engineering (IJARCSEE), vol.2, issue.9, p.642, 2013.

A. Smeulders and M. Kersten, Crossing the divide between computer vision and data bases in search of image databases, Proceeedings of the 4th Working Conference on Visual Database Systems, pp.223-239, 1998.
DOI : 10.1007/978-0-387-35372-2_20

A. W. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, Content-based image retrieval at the end of the early years, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.12, pp.1349-1380, 2000.
DOI : 10.1109/34.895972

F. Stegmaier, M. D. ¨-oller, H. Kosch, A. Hutter, T. Riegel et al., Air: Architecture for interoperable retrieval on distributed and heterogeneous multimedia repositories AIR: Architecture for interoperable Retrieval on distributed and heterogeneous multimedia repositories, Analysis, Retrieval and Delivery of Multimedia Content Proceedings of the 11th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMS), pp.149-163, 2010.

G. Sun and J. Li, Results processing in a heterogeneous word, ITCC, pp.212-217, 2002.

M. Swain, Searching for multimedia on the World Wide Web, Proceedings IEEE International Conference on Multimedia Computing and Systems, pp.32-37, 1999.
DOI : 10.1109/MMCS.1999.779116

M. J. Swain and D. H. Ballard, Color indexing, International Journal of Computer Vision, vol.31, issue.1, pp.11-32, 1991.
DOI : 10.1007/BF00130487

C. Tappert, C. Suen, and T. Wakahara, The state of the art in online handwriting recognition . Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.12, issue.8, pp.787-808, 1990.

M. Turk and A. Pentland, Face recognition using eigenfaces In Computer Vision and Pattern Recognition, Proceedings CVPR '91., IEEE Computer Society Conference on, pp.586-591, 1991.

G. Valentini, M. Muselli, and F. Ruffino, Cancer recognition with bagged ensembles of support vector machines, Neurocomputing, vol.56, pp.461-466, 2004.
DOI : 10.1016/j.neucom.2003.09.001

C. J. Van-rijsbergen, Readings in information retrieval. chapter A Non-classical Logic for Information Retrieval, pp.268-272, 1997.

M. Vatsa, R. Singh, and A. Noore, Reducing the false rejection rate of iris recognition using textural and topological features, International Journal of Signal Processing, vol.2, issue.2, 2006.

R. C. Veltkamp and M. Tanase, A survey of content-based image retrieval systems

R. C. Veltkamp and M. Tanase, Content-based image retrieval systems: A survey, 2000.

C. Vilsmaier, D. Coquil, F. Stegmaier, M. D. ¨-oller, L. Brunie et al., Query Result Aggregation in Distributed Multimedia Databases, Intelligent Interactive Multimedia Systems and Services, pp.299-308, 2010.
DOI : 10.1007/978-3-642-14619-0_28
URL : https://hal.archives-ouvertes.fr/hal-01381601

C. Vilsmaier, J. Jurgovsky, M. D. ¨-oller, H. Kosch, and L. Brunie, Query forwarding in a semantic CBIR network, 2012.

]. C. Vilsmaier, R. Karp, M. D. ¨-oller, H. Kosch, and L. Brunie, Towards Automatic Detection of CBIRs Configuration, Proceeding MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling, pp.334-345, 2012.
DOI : 10.1504/IJMMNO.2010.035430
URL : https://hal.archives-ouvertes.fr/hal-01352960

J. Viola, Rapid object detection using a boosted cascade of simple features, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, pp.511-518, 2001.
DOI : 10.1109/CVPR.2001.990517

L. , V. Ahn, and L. Dabbish, Labeling images with a computer game, Proceedings of the 2004 conference on Human factors in computing systems CHI 04, pp.319-326, 2004.

E. Voorhees, N. K. Gupta, and B. Johnson-laird, The collection fusion problem, NIST SPECIAL PUBLICATION SP, pp.95-95, 1995.

E. Voutsakis, E. Petrakis, and E. Milios, IntelliSearch: Intelligent Search for Images and Text on the Web, Image Analysis and Recognition, pp.697-708, 2006.
DOI : 10.1007/11867586_64

C. Wang, L. Zhang, and H. Zhang, Learning to reduce the semantic gap in web image retrieval and annotation, Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '08, pp.355-362, 2008.
DOI : 10.1145/1390334.1390396

Y. Wang and Q. Ruan, Kernel fisher discriminant analysis for palmprint recognition, Pattern Recognition 18th International Conference on, pp.457-460, 2006.

S. K. Wong and Y. Yao, A generalized binary probabilistic independence model, Journal of the American Society for Information Science, vol.41, issue.5, pp.324-329, 1990.
DOI : 10.1002/(SICI)1097-4571(199007)41:5<324::AID-ASI2>3.0.CO;2-9

S. K. Wong, W. Ziarko, and P. C. Wong, Generalized vector spaces model in information retrieval, Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '85, pp.18-25, 1985.
DOI : 10.1145/253495.253506

S. Wu and F. Crestani, Data fusion with estimated weights, Proceedings of the eleventh international conference on Information and knowledge management , CIKM '02, pp.648-651, 2002.
DOI : 10.1145/584792.584908

S. Wu and F. Crestani, Shadow Document Methods of Results Merging, Information Sciences, pp.1067-1072, 2004.

Z. Wu, Q. Ke, J. Sun, and H. Shum, Scalable face image retrieval with identitybased quantization and multireference reranking, IEEE Trans. Pattern Anal. Mach. Intell, vol.33, issue.10, pp.1991-2001, 2011.

J. Yang, A. F. Frangi, J. Yang, D. Zhang, and Z. Jin, Kpca plus lda: a complete kernel fisher discriminant framework for feature extraction and recognition. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.27, issue.2, pp.230-244, 2005.

X. Yang and S. Deb, Engineering optimisation by cuckoo search, International Journal of Mathematical Modelling and Numerical Optimisation, vol.1, issue.4, pp.330-343, 2010.
DOI : 10.1504/IJMMNO.2010.035430

J. Yoon, A network-aware semantics-sensitive image retrieval system, 2003.

R. Zhao and W. I. Grosky, Bridging the Semantic Gap in Image Retrieval, Distributed multimedia databases: Techniques and applications, pp.14-36, 2002.
DOI : 10.4018/978-1-930708-29-7.ch002