S. Frequent and M. , 121 7.3.3.1 Frequent SSVW sets discovery2 Association rules generating from frequent SSVW sets, p.123

.. Parameters-estimation, 149 8.2.3.1 Visual word vocabulary size

T. Publications-jean-martinet and . Urruty, Yassine Benabbas , and Chabane Dejraba. A semantically significant visual representation for social image retrieval, IEEE International Conference on Multimedia and Expo (ICME), p.page accepted, 2011.

J. Sayad, T. Martinet, C. Urruty, and . Dejraba, A Semantic Higher-Level Visual Representation for Object Recognition, International conference on multimedia modeling (MMM), pp.251-261, 2011.
DOI : 10.1007/978-3-642-17832-0_24

URL : https://hal.archives-ouvertes.fr/hal-00812293

J. Martinet and I. E. Sayad, Mid-Level Image Descriptors, Intelligent Multimedia Databases and Information Retrieval: Advancing Applications and Technologies, IGI Global
DOI : 10.4018/978-1-61350-126-9.ch003

URL : https://hal.archives-ouvertes.fr/hal-00730576

J. Sayad, T. Martinet, S. Urruty, C. Amir, and . Djeraba, Toward a higher-level visual representation for content-based image retrieval, ACM International Conference on Advances in Mobile Computing and Multimedia (ACM MoMM), pp.213-220, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00812305

J. Sayad, T. Martinet, C. Urruty, and . Djeraba, A new spatial weighting scheme for bag-of-visual-words
URL : https://hal.archives-ouvertes.fr/hal-00730581

J. Sayad, T. Martinet, C. Urruty, and . Djeraba, Toward a higher-level visual representation for contentbased image retrieval, Multimedia Tools and Applications, pp.1-28
URL : https://hal.archives-ouvertes.fr/hal-00812305

J. Sayad, T. Martinet, S. Urruty, C. Amir, and . Djeraba, Effective object-based image retrieval using higher-level visual representation, 2010 International Conference on Machine and Web Intelligence, pp.218-224, 2010.
DOI : 10.1109/ICMWI.2010.5648110

J. Sayad, T. Martinet, T. Urruty, M. H. Danisman, C. Sharif et al., Using association rules and spatial weighting for an effective content based-image retrieval, International Conference on Computer Vision Theory and Applications (VISSAPP), pp.112-117, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00730580

I. M. Amir, T. Bilasco, and . Danisman, Ismail El sayad, and Chabane Djeraba. Multimedia metadata mapping: towards helping developers in their integration task, ACM International Conference on Advances in Mobile Computing and Multimedia (ACM MoMM), pp.205-212, 2010.

I. M. Amir, T. Bilasco, and . Danisman, Ismail El Sayad, and Chabane Djeraba. Schema matching for integrating multimedia metadata, IEEE International Conference on Machine and Web Intelligence (ICMWI), pp.234-239, 2010.

J. Sayad, T. Martinet, C. Urruty, and . Djeraba, Visual sentence-phrase-based document representation for effective and efficient content-based image retrieval, Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances (EGC), pp.157-162, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00730579

M. Joemon, . Jose, and . Sayad, Classification et sélection de caractéristique basées sur les concepts sémantiques pour la recherche d'information multimédia, Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances, pp.85-90, 2010.

R. Agrawal, T. Imieli´nskiimieli´nski, and A. Swami, Mining association rules between sets of items in large databases, ACM SIGMOD Record, vol.22, issue.2, pp.207-216, 1993.
DOI : 10.1145/170036.170072

R. Agrawal and R. Srikant, Fast algorithms for mining association rules, Int. Conf. Very Large Data Bases, VLDB, pp.487-499, 1994.

J. Ahn, S. Kim, J. Oh, and S. Choi, A multiple nonnegative-matrix factorization of dynamic pet images, Asian Conference on Computer Vision, p.43, 2004.

H. Akaike, A new look at the statistical model identification, IEEE Transactions on Automatic Control, vol.19, issue.6, pp.716-723, 1974.
DOI : 10.1109/TAC.1974.1100705

J. Astola, P. Haavisto, and Y. Neuvo, Vector median filters, Proceedings of the IEEE, pp.678-689, 1990.
DOI : 10.1109/5.54807

R. Baeza-yates and B. Ribeiro-neto, Modern information retrieval, p.57, 1999.

R. A. Baeza-yates and B. A. Ribeiro-neto, Modern Information Retrieval, pp.55-58, 1999.

L. D. Baker and A. Mccallum, Distributional clustering of words for text classification, Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '98, pp.96-103, 1998.
DOI : 10.1145/290941.290970

M. Barni, V. Cappellini, and A. Mecocci, Fast vector median filter based on Euclidean norm approximation, IEEE Signal Processing Letters, vol.1, issue.6, pp.92-94, 1994.
DOI : 10.1109/97.295343

H. Bay, A. Ess, T. Tuytelaars, and L. J. , Speeded-up robust features (surf) Computer Vision and Image Understanding, pp.346-359, 2008.

H. Bay, T. Tuytelaars, and L. J. , Surf: Speeded up robust features, European Conference on Computer Vision (ECCV), pp.404-417, 2006.

R. Bekkerman, R. El-yaniv, N. Tishby, and Y. Winter, Distributional word clusters vs. words for text categorization, J. Mach. Learn. Res, vol.3, issue.127, pp.1183-1208, 2003.

S. Belongie, J. Malik, and J. Puzicha, Shape matching and object recognition using shape contexts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.4, pp.509-522, 2002.
DOI : 10.1109/34.993558

M. Berry, M. Browne, A. Langville, V. Pauca, and R. Plemmons, Algorithms and applications for approximate nonnegative matrix factorization, Computational Statistics & Data Analysis, vol.52, issue.1, pp.155-173, 2007.
DOI : 10.1016/j.csda.2006.11.006

J. Bilmes, A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models, p.82, 1997.

D. M. Blei, A. Y. Ng, and M. I. Jordan, Latent dirichlet allocation, J. Mach. Learn. Res, vol.3, issue.36, pp.993-1022, 2003.

P. Brodatz, Textures: A Photographic Album for Artists and Designers, 1999.

M. Brown and D. Lowe, Invariant Features from Interest Point Groups, Procedings of the British Machine Vision Conference 2002, pp.656-665, 2002.
DOI : 10.5244/C.16.23

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.8475

J. Brunet, P. Tamayo, T. R. Golub, and J. P. Mesirov, Metagenes and molecular pattern discovery using matrix factorization. the National Academy of Sciences of the United States of America, pp.4164-4169, 2004.
DOI : 10.1073/pnas.0308531101

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC384712

W. L. Buntine, Operations for learning with graphical models, J. Artif. Intell. Res. (JAIR), vol.2, pp.159-225, 1994.

W. L. Buntine, Variational Extensions to EM and Multinomial PCA, European Conference on Machine Learning (ECML), pp.23-34
DOI : 10.1007/3-540-36755-1_3

W. L. Buntine, Variational Extensions to EM and Multinomial PCA, European Conference on Machine Learning (ECML), pp.23-34, 2002.
DOI : 10.1007/3-540-36755-1_3

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.5167

C. Burges and B. Sch?olkopf, Improving the accuracy and speed of support vector machines Advances in neural information processing systems, pp.375-381, 1997.

J. Canny, A computational approach to edge detection, IEEE Trans. Pattern Anal. Mach. Intell, vol.8, issue.72, pp.679-698, 1986.

J. Carlson, M. Muguira, J. Jordan, G. Flachs, and A. Peterson, Final report: Weighted neighbor data mining, Sandia National Labs, p.54, 2000.
DOI : 10.2172/773910

C. Carson, M. Thomas, S. Belongie, J. M. Hellerstein, and J. Malik, Blobworld: A System for Region-Based Image Indexing and Retrieval, VISUAL, pp.509-516, 1999.
DOI : 10.1007/3-540-48762-X_63

S. K. Chang, Q. Y. Shi, and C. W. Yan, Iconic Indexing by 2-D Strings, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.9, issue.3, pp.413-428, 1987.
DOI : 10.1109/TPAMI.1987.4767923

Y. Cho and S. Choi, Nonnegative features of spectro-temporal sounds for classification, Pattern Recognition Letters, vol.26, issue.9, pp.1327-1336, 2005.
DOI : 10.1016/j.patrec.2004.11.026

T. Chua, J. Tang, R. Hong, H. Li, Z. Luo et al., NUS-WIDE, Proceeding of the ACM International Conference on Image and Video Retrieval, CIVR '09, p.145
DOI : 10.1145/1646396.1646452

A. Cichocki, S. Amari, R. Zdunek, R. Kompass, G. Hori et al., Extended SMART Algorithms for Non-negative Matrix Factorization, Artificial Intelligence and Soft Computing, pp.548-562, 2006.
DOI : 10.1007/11785231_58

D. A. Cohn and T. Hofmann, The missing link -a probabilistic model of document content and hypertext connectivity, NIPS, pp.430-436, 2000.

T. M. Cover and J. A. Thomas, Elements of Information Theory, p.130, 1991.

N. Dalal and B. Triggs, Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.886-893, 2005.
DOI : 10.1109/CVPR.2005.177

URL : https://hal.archives-ouvertes.fr/inria-00548512

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

A. P. Dempster, N. M. Laird, and D. B. Rubin, Maximum likelihood from incomplete data via the em algorithm, Journal of the Royal statistical society, series B, vol.39, issue.82, pp.1-38, 1977.

I. S. Dhillon, S. Mallela, and R. Kumar, A divisive information-theoretic feature clustering algorithm for text classification, Journal of Machine Learning Research, vol.3, pp.1265-1287, 2003.

I. S. Dhillon and S. Sra, Generalized nonnegative matrix approximations with bregman divergences, NIPS, p.44, 2005.

I. Sayad, J. Martinet, T. Urruty, S. Amir, and C. Djeraba, Toward a higher-level visual representation for content-based image retrieval, ACM International Conference on Advances in Mobile Computing and Multimedia (ACM MoMM), pp.213-220, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00812305

I. Sayad, J. Martinet, T. Urruty, and C. Dejraba, A Semantic Higher-Level Visual Representation for Object Recognition, International conference on multimedia modeling (MMM), pp.251-261, 2011.
DOI : 10.1007/978-3-642-17832-0_24

URL : https://hal.archives-ouvertes.fr/hal-00812293

I. Sayad, J. Martinet, T. Urruty, and C. Djeraba, A new spatial weighting scheme for bag-of-visual-words, IEEE International Workshop on Content- Based Multimedia Indexing (CBMI), pp.1-6, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00730581

I. Sayad, J. Martinet, T. Urruty, and C. Djeraba, Toward a higher-level visual representation for content-based image retrieval, Multimedia Tools and Applications, pp.1-28, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00812305

I. Elsayad, J. Martinet, T. Urruty, T. Danisman, M. H. Sharif et al., Using association rules and spatial weighting for an effective content based-image retrieval, VISAPP (1), pp.112-117, 2010.

F. Ennesser and G. G. Medioni, Finding Waldo, or focus of attention using local color information, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.17, issue.8, pp.805-809, 1995.
DOI : 10.1109/34.400571

C. Faloutsos, R. Barber, M. Flickner, J. Hafner, W. Niblack et al., Efficient and effective Querying by Image Content, Journal of Intelligent Information Systems, vol.2, issue.6, pp.3-4231, 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

L. Fei-fei and P. Perona, A Bayesian Hierarchical Model for Learning Natural Scene Categories, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.524-531, 2005.
DOI : 10.1109/CVPR.2005.16

M. Flickner, H. Sawhney, W. Niblack, J. Ashley, Q. Huang et al., Query by image and video content: The qbic system, Computer, issue.9, pp.2823-2855, 1995.

G. Furnas, S. Deerwester, S. Dumais, T. Landauer, R. Harshman et al., Information retrieval using a singular value decomposition model of latent semantic structure, Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '88, pp.465-480, 1988.
DOI : 10.1145/62437.62487

S. Gao, I. Tsang, L. Chia, and P. Zhao, Local features are not lonely -sparse coding for image classification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.3555-3561, 2010.

E. Gaussier and C. Goutte, Relation between PLSA and NMF and implications, Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '05, pp.601-602, 2005.
DOI : 10.1145/1076034.1076148

T. Gevers and A. W. Smeulders, Content-based image retrieval by viewpoint-invariant color indexing, Image and Vision Computing, vol.17, issue.7, pp.475-488, 1999.
DOI : 10.1016/S0262-8856(98)00140-1

K. Grauman and T. Darrell, The pyramid match kernel: discriminative classification with sets of image features, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, pp.1458-1465, 2005.
DOI : 10.1109/ICCV.2005.239

T. L. Griffiths and M. Steyvers, A probabilistic approach to semantic representation, p.40, 2002.

T. L. Griffiths and M. Steyvers, Finding scientific topics. the National Academy of Sciences of the United States of America, pp.5228-5235, 2004.
DOI : 10.1073/pnas.0307752101

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC387300

A. Gupta and R. Jain, Visual information retrieval, Communications of the ACM, vol.40, issue.5, pp.70-79, 1997.
DOI : 10.1145/253769.253798

J. Han and M. Kamber, Data Mining, p.122, 2006.
DOI : 10.1007/978-1-4899-7993-3_104-2

J. Hawkins and S. Blakeslee, On intelligence. Owl Books, p.98, 2005.

E. Hoerster, R. Lienhart, and M. Slaney, Image retrieval on large-scale image databases, ACM international conference on Image and video retrieval (CIVR), pp.17-24, 2007.

T. Hofmann, Unsupervised learning by probabilistic latent semantic analysis, Machine Learning, pp.177-196, 2001.

N. V. Hoíng, V. Gouet-brunet, M. Rukoz, and M. Manouvrier, Embedding spatial information into image content description for scene retrieval, Pattern Recognition, vol.43, issue.9, pp.3013-3024, 2010.
DOI : 10.1016/j.patcog.2010.03.024

P. O. Hoyer, Non-negative matrix factorization with sparseness constraints, Journal of Machine Learning Research, vol.5, pp.1457-1469, 2004.

K. A. Hua, K. Vu, and J. Oh, SamMatch, Proceedings of the seventh ACM international conference on Multimedia (Part 1) , MULTIMEDIA '99, pp.225-234, 1999.
DOI : 10.1145/319463.319610

J. Huang, R. Kumar, M. Mitra, and W. Zhu, Spatial color indexing and applications, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), pp.602-607, 1998.
DOI : 10.1109/ICCV.1998.710779

M. J. Huiskes and M. S. Lew, The MIR flickr retrieval evaluation, Proceeding of the 1st ACM international conference on Multimedia information retrieval, MIR '08
DOI : 10.1145/1460096.1460104

N. Ikonomakis, K. N. Plataniotis, and A. N. Venetsanopoulos, Color Image Segmentation for Multimedia Applications, Journal of Intelligent and Robotic Systems, vol.28, issue.12, pp.5-20, 2000.
DOI : 10.1007/978-94-011-4840-5_26

P. Jaccard, ´ Etude comparative de la distribution florale dans une portion des Alpes et des Jura, p.65, 1901.

A. K. Jain and A. Vailaya, Image retrieval using color and shape, Pattern Recognition, vol.29, issue.8, pp.1233-1244, 1996.
DOI : 10.1016/0031-3203(95)00160-3

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.47.9699

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.26, 2010.
DOI : 10.1109/CVPR.2010.5540039

J. Jeon and R. Manmatha, Using Maximum Entropy for Automatic Image Annotation, ACM International Conference on Image and Video Retrieval (CIVR), pp.24-32, 2004.
DOI : 10.1007/978-3-540-27814-6_7

Y. G. Jiang, C. W. Ngo, and J. Yang, Towards optimal bag-of-features for object categorization and semantic video retrieval, Proceedings of the 6th ACM international conference on Image and video retrieval, CIVR '07, pp.494-501, 2009.
DOI : 10.1145/1282280.1282352

F. Jing, M. Li, L. Z. 0001, H. Zhang, and B. Zhang, Learning in regionbased image retrieval, ACM International Conference on Image and Video Retrieval (CIVR), pp.206-215, 2003.

F. Jing, M. Li, L. Zhang, H. Jiang-zhang, and B. Zhang, Learning in regionbased image retrieval, Proceedings of the IEEE International Symposium on Circuits and Systems, pp.206-215, 2003.

I. T. Jolliffe, Principal Component Analysis, p.57, 2002.
DOI : 10.1007/978-1-4757-1904-8

K. S. Jones, A STATISTICAL INTERPRETATION OF TERM SPECIFICITY AND ITS APPLICATION IN RETRIEVAL, Journal of Documentation, vol.28, issue.1, pp.11-21, 1972.
DOI : 10.1108/eb026526

R. Jörnsten and B. Yu, Simultaneous gene clustering and subset selection for sample classification via MDL, Bioinformatics, vol.19, issue.9, pp.1100-110, 2003.
DOI : 10.1093/bioinformatics/btg039

M. Kim and S. Choi, Monaural Music Source Separation: Nonnegativity, Sparseness, and Shift-Invariance, Lecture Notes in Computer Science, vol.3889, pp.617-624, 2006.
DOI : 10.1007/11679363_77

J. Koenderink, The structure of images, Biological Cybernetics, vol.27, issue.269, pp.363-370, 1984.
DOI : 10.1007/BF00336961

R. Kompass, A Generalized Divergence Measure for Nonnegative Matrix Factorization, Neural Computation, vol.39, issue.3, pp.780-791, 2007.
DOI : 10.1162/089976602320264033

R. Krishnapuram, A. Joshi, and L. Yi, A fuzzy relative of the k-medoids algorithm with application to web document and snippet clustering, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315), pp.1281-1286, 2002.
DOI : 10.1109/FUZZY.1999.790086

H. W. Kuhn, Nonlinear programming, ACM SIGMAP Bulletin, vol.96, issue.31, pp.6-18, 1982.
DOI : 10.1145/1111278.1111279

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

Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner, Gradient-based learning applied to document recognition, Proceedings of the IEEE, vol.86, issue.11, pp.2278-2324, 1998.
DOI : 10.1109/5.726791

D. D. Lee and H. S. Seung, Learning the parts of objects by non-negative matrix factorization, Nature, vol.401, issue.42, pp.788-791, 1999.

D. D. Lee and H. S. Seung, Algorithms for non-negative matrix factorization, NIPS, pp.556-562, 2000.

J. S. Lee, D. D. Lee, S. Choi, and D. S. Lee, Application of non-negative matrix factorization to dynamic positron emission tomography, 3rd International Conference on Independent Component Analysis and Blind Signal Separation, pp.629-632, 2001.

R. Lienhart, S. Romberg, and E. Hörster, Multilayer pLSA for multimodal image retrieval, Proceeding of the ACM International Conference on Image and Video Retrieval, CIVR '09, pp.9-98, 2009.
DOI : 10.1145/1646396.1646408

J. Lin, Divergence measures based on the Shannon entropy, IEEE Transactions on Information Theory, vol.37, issue.1, pp.145-130, 1991.
DOI : 10.1109/18.61115

F. Liu and R. W. Picard, Periodicity, directionality, and randomness: Wold features for image modeling and retrieval, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.18, issue.7, pp.722-733, 1996.
DOI : 10.1109/34.506794

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

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

Y. Liu, D. Zhang, G. Lu, and W. Ma, Region-Based Image Retrieval with Perceptual Colors, Pacific-Rim Conference on Multimedia (PCM), pp.931-938, 2004.
DOI : 10.1007/978-3-540-30542-2_115

D. Lowe, Object recognition from local scale-invariant features, Proceedings of the Seventh IEEE International Conference on Computer Vision, p.1150, 1999.
DOI : 10.1109/ICCV.1999.790410

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.121.4065

D. G. 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

H. Luhn, A Statistical Approach to Mechanized Encoding and Searching of Literary Information, IBM Journal of Research and Development, vol.1, issue.4, pp.309-317, 2010.
DOI : 10.1147/rd.14.0309

R. Lukac, B. Smolka, K. Martin, K. Plataniotis, and A. Venetsanopoulos, Vector filtering for color imaging, IEEE Signal Processing Magazine, vol.22, issue.1, p.16, 2005.
DOI : 10.1109/MSP.2005.1407717

W. Ma and B. Manjunath, Netra: a toolbox for navigating large image databases, ICIP, p.21, 1997.

W. R. Maneesha, W. Ren, M. Singh, and S. Singh, Image retrieval using spatial context, Ninth International Workshop on Systems, Signals and Image Processing (IWSSIP), p.22, 2002.

B. S. Manjunath, J. Ohm, V. V. Vasudevan, and A. Yamada, Color and texture descriptors, IEEE Transactions on Circuits and Systems for Video Technology, vol.11, issue.6, pp.703-715, 2001.
DOI : 10.1109/76.927424

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.5615

C. Manning and H. Schütze, Foundations of statistical natural language processing, Computational Linguistics, vol.19, issue.2, p.148

J. Martinet, Y. Chiaramella, and P. Mulhem, A relational vector space model using an advanced weighting scheme for image retrieval, Information Processing & Management, vol.47, issue.3, pp.391-414, 2011.
DOI : 10.1016/j.ipm.2010.10.003

URL : https://hal.archives-ouvertes.fr/hal-00730563

J. Martinet and S. Satoh, A Study of Intra-Modal Association Rules for Visual Modality Representation, 2007 International Workshop on Content-Based Multimedia Indexing, pp.344-350, 2007.
DOI : 10.1109/CBMI.2007.385432

R. Mehrotra and J. E. Gary, Similar-shape retrieval in shape data management, Computer, vol.28, issue.9, pp.57-62, 1995.
DOI : 10.1109/2.410154

V. Mezaris, I. Kompatsiaris, and M. G. Strintzis, An ontology approach to object-based image retrieval, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), pp.511-514, 2003.
DOI : 10.1109/ICIP.2003.1246729

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

K. Mikolajczyk and C. Schmid, Scale & Affine Invariant Interest Point Detectors, International Journal of Computer Vision, vol.60, issue.1, pp.63-86, 2004.
DOI : 10.1023/B:VISI.0000027790.02288.f2

URL : https://hal.archives-ouvertes.fr/inria-00548554

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

B. Moghaddam, T. Jebara, and A. Pentland, Bayesian face recognition, Pattern Recognition, vol.33, issue.11, pp.1771-1782, 2000.
DOI : 10.1016/S0031-3203(99)00179-X

A. Mojsilovic, J. Gomes, and R. , ISee: perceptual features for image library navigation, 1921.

A. Mojsilovic and B. Rogowitz, Capturing image semantics with low-level descriptors, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), pp.18-21, 2001.
DOI : 10.1109/ICIP.2001.958942

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.6573

F. Mokhtarian and S. Abbasi, Shape similarity retrieval under affine transforms, Pattern Recognition, vol.35, issue.1, pp.31-41, 1921.
DOI : 10.1016/S0031-3203(01)00040-1

C. Morand, J. Benois-pineau, J. P. Domenger, J. Zepeda, E. Kijak et al., Scalable object-based video retrieval in HD video databases, Signal Processing: Image Communication, vol.25, issue.6, pp.450-465, 2010.
DOI : 10.1016/j.image.2010.04.004

URL : https://hal.archives-ouvertes.fr/inria-00504257

H. Murase and S. Nayar, Visual learning and recognition of 3-d objects from appearance, International Journal of Computer Vision, vol.37, issue.10, pp.5-24, 1995.
DOI : 10.1007/BF01421486

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

T. Ojala, M. Pietikäinen, and T. Mäenpää, Multiresolution gray-scale and rotation invariant texture classification with local binary patterns, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.7, pp.971-987, 2002.
DOI : 10.1109/TPAMI.2002.1017623

P. Paatero and U. Tapper, Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values, Environmetrics, vol.18, issue.2, pp.111-126, 1994.
DOI : 10.1002/env.3170050203

K. Papineni, Why inverse document frequency?, Second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies 2001 , NAACL '01, pp.1-8, 2001.
DOI : 10.3115/1073336.1073340

URL : http://acl.ldc.upenn.edu/N/N01/N01-1004.pdf

G. Pass and R. Zabih, Comparing images using joint histograms, Multimedia Systems, vol.7, issue.3, pp.234-240, 1924.
DOI : 10.1007/s005300050125

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.39.4200

K. Plataniotis, D. Androutsos, and A. Venetsanopoulos, Adaptive fuzzy systems for multichannel signal processing, Proceedings of the IEEE, pp.1601-1622, 1999.
DOI : 10.1109/5.784243

K. N. Plataniotis and A. N. Venetsanopoulos, Color image processing and applications, p.16, 2000.
DOI : 10.1007/978-3-662-04186-4

P. Quelhas, F. Monay, J. Odobez, D. Gatica-perez, and T. Tuytelaars, A Thousand Words in a Scene, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.9, pp.1575-1589, 2007.
DOI : 10.1109/TPAMI.2007.1155

P. Quelhas, F. Monay, J. Odobez, D. Gatica-perez, and T. Tuytelaars, A thousand words in a scene. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.29, issue.9, pp.1575-1589, 2007.

P. Quelhas, F. Monay, J. Odobez, D. Gatica-perez, T. Tuytelaars et al., Modeling scenes with local descriptors and latent aspects, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, pp.883-890, 2005.
DOI : 10.1109/ICCV.2005.152

A. Rao, R. K. Srihari, and Z. Zhang, Geometric histogram: a distribution of geometric configurations of color subsets, SPIE, vol.3964, pp.91-101, 1999.

J. Rissanen, Stochastic Complexity in Statistical Inquiry Theory, 1989.

S. Robertson, Understanding inverse document frequency: on theoretical arguments for IDF, Journal of Documentation, vol.60, issue.5, pp.503-520, 2004.
DOI : 10.1108/00220410410560582

P. Salembier and T. Sikora, Introduction to MPEG-7: Multimedia Content Description Interface, p.21, 2002.

G. Salton, The SMART Retrieval System?Experiments in Automatic Document Processing, p.65, 1971.

G. Salton and C. Buckley, Term-weighting approaches in automatic text retrieval. Information processing & management, pp.513-523, 1988.

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

L. K. Saul and D. D. Lee, Multiplicative updates for classification by mixture models, NIPS, pp.897-904, 2001.

G. Schwarz, Estimating the dimension of a model. The annals of statistics, pp.461-464, 1978.

I. K. Sethi, I. L. Coman, and D. Stan, <title>Mining association rules between low-level image features and high-level concepts</title>, Data Mining and Knowledge Discovery: Theory, Tools, and Technology III, pp.279-290, 2001.
DOI : 10.1117/12.421083

F. Shahnaz, M. W. Berry, V. P. Pauca, and R. J. Plemmons, Document clustering using nonnegative matrix factorization, Information Processing & Management, vol.42, issue.2, pp.373-386, 2006.
DOI : 10.1016/j.ipm.2004.11.005

C. Shannon, A mathematical theory of communication, ACM SIGMOBILE Mobile Computing and Communications Review, vol.5, issue.1, pp.3-55, 2001.
DOI : 10.1145/584091.584093

M. Shashanka, B. Raj, and P. Smaragdis, Probabilistic Latent Variable Models as Nonnegative Factorizations, Computational Intelligence and Neuroscience, vol.59, issue.7, pp.1-8, 2008.
DOI : 10.1038/381607a0

URL : http://doi.org/10.1155/2008/947438

R. Shi, H. Feng, T. Chua, and C. Lee, An Adaptive Image Content Representation and Segmentation Approach to Automatic Image Annotation, ACM International Conference on Image and Video Retrieva (CIVR), pp.545-554, 2004.
DOI : 10.1007/978-3-540-27814-6_64

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

J. Sivic and A. Zisserman, Video data mining using configurations of viewpoint invariant regions, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.488-495, 2004.

N. Slonim and N. Tishby, The power of word clusters for text classification, 23rd European Colloquium on Information Retrieval Research, p.132, 2001.

A. W. Smeulders, S. Member, M. Worring, S. Santini, A. Gupta et al., 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

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

J. Smith and C. , Decoding image semantics using composite region templates, Proceedings. IEEE Workshop on Content-Based Access of Image and Video Libraries (Cat. No.98EX173), p.22, 1998.
DOI : 10.1109/IVL.1998.694467

J. R. Smith and S. Chang, VisualSEEk, Proceedings of the fourth ACM international conference on Multimedia , MULTIMEDIA '96, pp.87-98, 1996.
DOI : 10.1145/244130.244151

Y. Song, W. Wang, and A. Zhang, Automatic Annotation and Retrieval of Images, World Wide Web, vol.6, issue.10, pp.209-2311023674722438, 1023.
DOI : 10.1007/978-0-387-35592-4_19

D. M. Squire, W. Müller, H. Müller, and J. Raki, Content-based query of image databases: inspirations from text retrieval, Pattern Recognition Letters, pp.143-149, 1999.
DOI : 10.1016/S0167-8655(00)00081-7

P. Stanchev, Using image mining for image retrieval, IASTED International Conference on Computer Science and Technology, pp.214-218, 2003.

P. L. Stanchev, D. Green, and B. Dimitrov, High level color similarity retrieval, International Journal Information Theories and Applications, vol.10, pp.283-287, 2003.

M. Steyvers and T. Griffiths, Probabilistic Topic Models, p.37, 2007.
DOI : 10.4324/9780203936399.ch21

M. Steyvers, P. Smyth, M. Rosen-zvi, and T. Griffiths, Probabilistic authortopic models for information discovery, ACM SIGKDD International Conference on Knowledge discovery and data mining KDD, pp.306-315, 2004.

M. Stokes, M. Anderson, S. Chandrasekar, and R. Motta, A standard default color space for the internet-sRGB, pp.72-79, 1996.

M. Stricker and M. Swain, The capacity of color histogram indexing, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94, pp.704-708, 1994.
DOI : 10.1109/CVPR.1994.323774

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

L. S. , X. W. Hou, H. J. Zhang, and Q. S. Cheng, Learning spatially localized , parts-based representation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.207-212, 2001.

V. Tahani, A fuzzy model of document retrieval systems, Information Processing & Management, vol.12, issue.3, pp.177-187, 1976.
DOI : 10.1016/0306-4573(76)90004-2

H. Tamura, S. Mori, and T. Yamawaki, Textural Features Corresponding to Visual Perception, IEEE Transactions on Systems, Man, and Cybernetics, vol.8, issue.6, pp.460-473, 1978.
DOI : 10.1109/TSMC.1978.4309999

C. P. Town and D. Sinclair, Content-based image retrieval using semantic visual categories, p.21, 2001.

M. Varma and A. Zisserman, Texture classification: are filter banks necessary?, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., pp.691-698, 2003.
DOI : 10.1109/CVPR.2003.1211534

P. A. Viola and M. J. Jones, 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, p.84
DOI : 10.1109/CVPR.2001.990517

J. Z. Wang, J. Li, D. Chan, and G. Wiederhold, Semantics-sensitive Retrieval for Digital Picture Libraries, D-Lib Magazine, vol.5, issue.11, p.21, 1999.
DOI : 10.1045/november99-wang

J. Z. Wang, J. Li, and G. Wiederhold, SIMPLIcity: semantics-sensitive integrated matching for picture libraries, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.9, pp.947-963, 2001.
DOI : 10.1109/34.955109

W. Wang, Y. Song, and A. Zhang, Semantics-Based Image Retrieval by Region Saliency, ACM International Conference on Image and Video Retrieval (CIVR), pp.29-37, 2002.
DOI : 10.1007/3-540-45479-9_4

R. Weiss, J. Bello, R. Weiss, J. B. Marl, R. Weiss et al., (marl, and F. B. synchronous Chroma Features [ellis. Shift-invariant probabilistic latent component analysis, Journal ofMachine Learning Research, vol.47, p.49, 2010.

I. H. Witten, A. Moffat, and T. C. Bell, Managing Gigabytes: Compressing and Indexing Documents and Images, Second Edition, p.137, 1999.

S. L. Leow, SCALE AND ORIENTATION-INVARIANT TEXTURE MATCHING FOR IMAGE RETRIEVAL, Texture Analysis in Machine Vision, pp.1-13
DOI : 10.1142/9789812792495_0011

Z. Wu, Q. Ke, M. Isard, and J. Sun, Bundling features for large scale partial-duplicate web image search, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.25-32, 2009.

W. Xu, X. Liu, and Y. Gong, Document clustering based on non-negative matrix factorization, Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval , SIGIR '03, pp.267-273, 2003.
DOI : 10.1145/860435.860485

J. Yang, Y. Jiang, A. G. Hauptmann, and C. Ngo, Evaluating bagof-visual-words representations in scene classification, In ACM Multimedia Information Retrieval(ACM MIR), vol.3, pp.197-206, 2007.

J. Yang, K. Yu, Y. Gong, and T. Huang, Linear spatial pyramid matching using sparse coding for image classification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.1794-1801, 2009.

Y. Yang and J. O. Pedersen, A comparative study on feature selection in text categorization, International Conference on Machine Learning (ICML), pp.412-420, 1997.

J. Yuan, Y. Wu, and M. Yang, Discovery of Collocation Patterns: from Visual Words to Visual Phrases, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383222

J. Yuan, Y. Wu, and M. Yang, Discovery of Collocation Patterns: from Visual Words to Visual Phrases, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.55-56, 2007.
DOI : 10.1109/CVPR.2007.383222

J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid, Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study, International Journal of Computer Vision, vol.36, issue.1, pp.213-238, 2007.
DOI : 10.1007/s11263-006-9794-4

URL : https://hal.archives-ouvertes.fr/inria-00548574

S. Zhang, Q. Tian, G. Hua, Q. Huang, and S. Li, Descriptive visual words and visual phrases for image applications, Proceedings of the seventeen ACM international conference on Multimedia, MM '09, pp.75-84, 2009.
DOI : 10.1145/1631272.1631285

Q. Zheng and W. Gao, Constructing visual phrases for effective and efficient object-based image retrieval, ACM Transactions on Multimedia Computing, Communications, and Applications, vol.5, issue.1, pp.55-56, 2008.
DOI : 10.1145/1404880.1404887

X. Zheng, D. Cai, X. He, W. Ma, and X. Lin, Locality preserving clustering for image database, ACM Multimedia, pp.885-891, 2004.

Y. T. Zheng, M. Zhao, S. Neo, T. Chua, and Q. Tian, Visual synset: Towards a higher-level visual representation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.56-96, 2008.

X. Zhou, X. Zhuang, S. Yan, S. Chang, M. Hasegawa-johnson et al., SIFT-Bag kernel for video event analysis, Proceeding of the 16th ACM international conference on Multimedia, MM '08, pp.229-238, 2008.
DOI : 10.1145/1459359.1459391

X. S. Zhou and T. S. Huang, Cbir: From low-level features to highlevel semantics, International Conference on Image and Video Communication and Processing (SPIE), pp.24-28, 2000.