182

BIBLIOGRAPHY

Abuhaiba, I.S. and Salamah, A.A. (2012) Efficient global and region content based image retrieval, International Journal of Image, Graphics and Signal Processing, Vol. 5, Pp. 38-56.

Acharya, T. and Ray, A.K. (2005) Image Mining and Content-Based Image Retrieval, John Wiley & Sons, Inc., Pp.227-252.

Agarwal, M. and Maheshwari, R.P. (2012) Á trous gradient structure descriptor for content based image retrieval, International Journal of Multimedia Information Retrieval, Vol. 1, Issue 2, Pp. 129-138.

Agarwal, M. and Mostafa, J. (2011) Content-based Image Retrieval for Alzheimer’s Disease Detection, 9th International Workshop on Content-Based Multimedia Indexing (CBMI), Pp. 13 – 18.

Al Wadi, S., Ismail, M.T. and Karim, S.A.A. (2010) A comparison between haar wavelet transform and fast fourier transform in analyzing financial time series data, Research Journal of Applied Sciences, Vol. 5, Issue 5, Pp. 352-360.

Almira, J.M. and Romero, A.E. (2011) Image zooming based on sampling theorems, MATerials MAThematics, Vol. 2011, No. 1, Pp. I-22.

Anagnostopoulos, G. and Georgiopoulos, M. (2001) Ellipsoid ART and ARTMAP for incremental unsupervised and supervised learning, Proceedings IEEE-INNS-ENNS International Joint Conference Neural Networks (IJCNN’01), Vol. 2, Washington, DC, Pp. 1221–1226.

Anantharatnasamy, P., Sriskandaraja, K., Nandakumar, V. and Deegalla, S. (2013) Fusion of Color, Shape and Texture Features for Content Based Image Retrieval, 8th International Conference on Computer Science & Education (ICCSE), Pp. 422 – 427.

Arkin, E.M., Chew, L., Huttenlocher, D., Kedem, K. and Mitchell, J. (1991) An efficiently computable metric for comparing polygonal shapes, IEEE Transaction Pattern Recognition and Machine Intelligence, Vol. 13, No. 3, Pp. 19-21.

Assfalg, J., Bimbo, A.D. and Pala, P. (2000) Using multiple examples for content-based image retrieval, Proceedings of International Conference on Multimedia and Expo, Vol. 1, Pp. 335-338.

Bach, J.R., Fuller, C., Gupta, A., Hampapur, A., Horowitz, B., Humphrey, R., Jain, R. and Shu, C.F. (1997) the Virage image search engine: An open framework for image management, Proceedings SPIE Storage and Retrieval for Image and Video Databases, Pp. 112-117.

183

Balasubramanian, R., Bouman, C. and Allebach, J. (1994) Sequential Scalar Quantization of Color Images, Journal of Electronic Imaging, Vol. 3, No.1, Pp. 45–59.

Ballard, D.H. and Brown, C.M. (1982) Computer Vision, Prentice-Hall, Englewood Cli€s, New Jersy.

Barrow, H.G., Tenenbaum, J.M., Bolles, R.C. and Wolf, H.C. (1977) Parametric correspondence and chamfer matching: Two new techniques for image matching, Proceedings 5th International Joint Conference Artificial Intelligence, Pp. 659-668.

Basu, A., Watters, C., and Shepherd, M. (2002) Support Vector Machines for Text Categorization, Dalhousie University, Halifax, Nova Scotia, Canada, Proceedings of the 36th Hawaii International Conference on System Sciences, Pp.43-49.

Beckmann, N., Kriegel, H.P., Schneider, R. and Seeger, B. (1990) The R*-tree: an efficient and robust access method for points and rectangles, SIGMOD Rec., Vol. 19, No. 2, Pp. 322-331.

Beigi, M., Beigi, I., Chang, S.F., Benitez, A.B. and Chang, S.F. (1998) MetaSEEk: a content-based meta-search engine for images, Storage and Retrieval for Image and Video Databases VI (Sethi, I K and Jain, R C, eds), Proceedings of SPIE 3312, Pp. 118-128.

Bell, A.J. and Sejnowsky, T.J. (1997) the Independent Components of Natural Scenes are Edge Filters, Vision Research, No. 37, Pp. 3327–3338.

Bi, J., Chen, Y. and Wang, J.Z. (2005) A sparse support vector machine approach to region-based image categorization, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR ‟04), Vol. 1, Pp. 1121 - 1128.

Bird, C., Elliott, P.J. and Griffiths, E. (1996) User interfaces for content-based image retrieval, Proceedings of IEE Colloquium on Intelligent Image Databases, IEE, London, Pp. 8/1-8/4.

Blu, T., Thevenaz, P. and Unser, M. (2002) How a simple shift can significantly improve the performance of linear interpolation, Proceedings of the IEEE International Conference on Image Processing, Rochestr New York, USA, Pp. III.337-III.380.

Bobrowski, L. and Bezdek, J. (1991) c-Means clustering with the l and l norms, IEEE Transaction on Systems, Man and Cybernetics, Vol. 21, No. 3, Pp. 545–554.

Boor, C. (1978) A Practical Guide to Splines, Springer-Verlag, New York.

184

Borgefors, G. (1988) Hierarchical chamfer matching: A parametric edge matching algorithm. IEEE Transactions on Pattern Recognition and Machine Intelligence, Vol. 3, Pp. 89-94.

Borgne, H., Guerin-Dugue, A. and Antoniadis, A. (2004) Representation of Images for Classification with Independent Features, Pattern Recognition Letters, Vol. 25, Pp. 141–154.

Breiman, L. Friedman, J.H., Olshen, R.A. and Stone, C.J. (2007) Classification and Regression Trees, Wadsworth, Belmont.

Bribiesca, E. and Guzman, A. (1978) Shape description and shape similarity for two dimensional regions, 41h International Conference on Pattern Recognition, Kyoto, Japan, Pp. 608-612.

Buhler, P., Just, U., Will, E., Kotzerke, J. and van den Hoff, J. (2004). An accurate method for correction of head movement in PET, IEEE Transactions on Medical Imaging, Vol.23, No.9, Pp. 1176-1185.

Carpenter, G.A., Grossberg, S., and Rosen, D.B. (1991) Fuzzy art: Fast stable learning and categorization of analog patterns by an adaptive resonance system, Neural Networks, Vol. 4, Pp. 759-771.

Carson, C., Belongie, S., Greenspan, H. and Malik, J. (1997) Region-based image querying, Proceedings of IEEE Workshop on Content-Based Access of Image and Video Libraries, Conjunction with IEEE CVPR’97, Pp. 42-49.

Castelli, V. and Bergman, L.D. (Eds.) (2002) Image Databases: Search and Retrieval of Digital Imagery, Wiley: New York.

Catalan, J.A. and Jin, J.S. (2000) Dimension reduction of texture features for image retrieval using hybrid associative neural networks, IEEE International Conference on Multimedia and Expo, Vol.2, Pp. 1211-1214.

Catlett, J. (1991) Mega-induction: Machine Learning on Very Large Databases, PhD Thesis, University of Sydney.

Caylak, E. (2010) The studies about phonological deficit theory in children with developmental dyslexia, Review. Am. J. Neurosci., Vol. 1, Pp. 1-12.

Celebi, E. and Alpkocak, A. (2000) Clustering of texture features for content-based image retrieval, Advances in Information Systems, Lecture Notes in Computer Science, Vol. 1909, Pp. 216-225.

Chan, K.C. and Stolfo, S.J. (1993a) Experiments on multistrategy learning by meta-learning, Proceedings Second International Conference on Information and Knowledge Management, Pp. 314-323.

185

Chan, P.K. and Stolfo, S.J. (1993b) Meta learning for multistrategy and parallel learning, PTOC Second International Workshop on Multi-strategy Learning, Pp.150-165.

Chandrasekaran, S., Manjunath, B.S., Wang, Y.F., Winkelera, J. and Zhangb, H. (1997) An eigenspace update algorithm for image analysis, Graphical Models and Image Processing, Vol. 59, Issue 6, Pp. 321-332.

Chang, I.S. and Park, R.H. (2001) Segmentation based on fusion of range and intensity images using robust trimmed methods, Pattern Recognition, Vol. 34, No. 10, Pp. 1952-1962.

Chang, N.S. and Fu, K.S. (1979) A Relational Database System for Images, Technical Report TR-EE 79-28, Purdue University.

Chang, N.S. and Fu, K.S. (1980) Query-by pictorial-example, IEEE Transactions on Software Engineering, Vol. SE-6, Issue 6, Pp. 519-524.

Chang, S.F., Eleftheriadis, A. and McClintock, R. (1998) Next-generation content representation, creation and searching for new media applications in education, IEEE Proceedings, Vol. 86, Issue 5, Pp. 894-904.

Chang, S.K. (1981) Pictorial data-base systems, IEEE Computer.

Chang, S.K. and Hsu, A. (1992) Image information systems: Where do we go from here? IEEE Transaction on Knowledge and Data Engineering, Vol. 4, No.5, Pp. 22-26.

Chang, S.K., Yan, C.W., Dimitroff, D.C. and Arndt, T. (1988) An intelligent image database system, IEEE Transaction on Software Engineering, Vol. 14, No.5, Pp.18-21.

Chang, T. and Kuo, C.C.J. (1993) Texture analysis and classification with tree-structured wavelet transform, IEEE Transaction on Image Processing, Vol. 2, No.4, Pp. 429–441.

Charikar, M., Chekur, C., Feder, T. and Motwani, R. (1997) Incremental clustering and dynamic information retrieval, Proceedings of the 29th Annual ACM Symposium on theory of Computing, Pp.626–635.

Chen, L.H., Hung, Y.L. and Wang, L.Y. (2012) An Integrated Approach to Image Retrieval, 35th International Conference on Telecommunications and Signal Processing (TSP), Pp. 695 – 699.

Chiang, H.C., Moses, R.L., Potter, L.C. (2001) Model-based Bayesian feature matching with application to synthetic aperture radar target recognition, Pattern Recognition, Vol. 34, No. 8, Pp. 1539-1553.

186

Choras, R.S. (2007) Image feature extraction techniques and their applications for CBIR and biometrics systems, International Journal of Biology and Biomedical Engineering, Vol.1, Issue 1, Pp. 6-16.

Chuang, G.C.H. and Kuo, C.C.J. (1996) Wavelet descriptor of planar curves: theory and applications, IEEE Transaction on Image Processings, Vol. 5, No.1, Pp.56–70.

Chung, Y.Y., Chin, W.K.J., Chen, X., Shi, D.Y., Choi, E. and Chen, F. (2007) Performance analysis of using wavelet transform in content based video retrieval system, Proceedings of the 2007 WSEAS International Conference on Computer Engineering and Applications, Gold Coast, Australia, Pp. 277-282.

Clausi, D.A. and Jernigan, M.E. (1998) A fast method to determine co-occurrence texture features, IEEE Transaction on Geoscience & Remote Sensing, Vol. 36, No. 1, Pp. 298-300.

Clausi, D.A. and Zhao, Y. (2002) An advanced computational method to determine co-occurrence probability texture features, IEEE International Geoscience and Remote Sensing Symposium, Vol. 4, Pp. 2453-2455.

Copper, D. and Lei, Z. (1995) On representation and invariant recognition of complex objects based on patches and parts, Lecture Notes in Computer Science Series, 3D Object Representation for Computer Vision (M. Hebert, J. Ponce, T. Boult, and A. Gross, Eds.), Springer-Verlag, New York/Berlin, Pp. 139–153.

Costa, F., Marques, O. and Furht, B. (2010) Improving the performance of content-based image retrieval systems with color image processing tools, 4th International Conference on Signal and image processing, Pp. 1-6.

Cross, G.C. and Jain, A.K. (1983) Markov random field texture models, IEEE Transaction Pattern Recognition and Machine Intelligence, Vol. 5, Pp. 25–39.

Daisy, M.M.H., TamilSelvi, S. and Prinza, L. (2012) Gray Scale Morphological Operations for Image Retrieval, International Conference on Computing, Electronics and Electrical Technologies [ICCEET], Pp. 571-575.

Daneels, D., Campenhout, D., Niblack, W., Equitz, W., Barber, R., Bellon, E. and Fierens, F. (1993) Interactive outlining: An improved approach using active contours, Proceedings SPIE Storage and Retrieval for Image and Video Databases, Pp. 21-32.

Datta, R., Joshi, D., Li, J. and Wang, J.Z. (2008) Image retrieval: ideas, influences, and trends of the new age, ACM Computing Surveys, Vol. 40, Pp.1 –60.

187

Demirel, H. and Anbarjafari, G. (2011) Discrete Wavelet Transform-Based Satellite Image Resolution Enhancement, IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, Issue 6, Pp. 1997-2004.

Deselaers, T., Keysers, D. and Ney, H. (2008) Features for image retrieval: An experimental comparison, Information Retrieval, Vol. 11, Pp. 77-107.

Deserno, T.M., Long, L.R. and Greenspan, H. (2009) Content-Based Image Retrieval: Major Challenges for Biomedical Applications, International Journal of Healthcare Information Systems and Informatics, Vol. 4, Issue 1, Pp. 1-7.

Deshpande, G. and Borse, M. (2011) Image Retrieval with the use of different color spaces and the texture feature, International Conference on Software and Computer Applications, Vol. 9, Pp. 273-278.

Dinakaran, B., Annapurna, J. and Kumar, A. (2010) Interactive Image Retrieval Using Text and Image Content, Bulgarian Academy of Sciences, Cybernetics and Information Technologies, Vol. 10, No. 3, Pp. 20-30.

Do, M.N. and Vetterli, M. (2000) Texture Similarity Measurement Using Kullback–Leibler Distance on Wavelet Subbands, Proceedings of International Conference on Image Processing, 2000, Vol. 3, Pp. 730–733.

Doi, N., Shintani, A., Hayashi, Y., Ogihara, A. and Takamatsu, S. (1995) A study on month shape features suitable for HMM speech recognition using fusion of visual and auditory information, IEICE Transaction on Fundamentals, Vol. E78-A, No. 11, Pp. 1548-1552.

Dowe, J. (1993) Content-based retrieval in multimedia imaging, Proceedings of SPIE Conference on Storage and Retrieval for Image and Video Databases, Pp. 164-167.

Duda, R.O. and Hart, P.E. (1973) Pattern Classification and Scene Analysis, Chap.6, Wiley, New York.

Eakins, J. P. and Graham, M. E. (1999) Content-based image retrieval, a report to the JISC technology applications programme, Electronic report, Institute for Image Data Research, University of North Umbria at Newcastle.

Eakins, J.P. (1998) Techniques for image retrieval, South Bank University, Library Information Technology Centre, London, Vol. 85, Pp. 1-15.

Eakins. J.P. (1993) Design criteria for a shape retrieval system, Computers in Industry, Vol. 21, Pp. 167-184.

Eirinaki, M. (2009) Web Mining: A Roadmap, Athens University of Economics and Business, http://:www.dbnet.aueb.gr/index.php/corporate/ content/download /341/1381/file/NEMIS.pdf.

188

Eisen, M., Spellman, P., Brown, P. and Botstein, D.(1998) Cluster analysis and display of genome-wide expression patterns, Proceedings National Academy Science USA, Vol. 95, Pp. 14 863–14 868.

Equitz, W. and Niblack, W. (1994) Retrieving Images from a Database using Texture-Algorithms from the QBIC System, Technical Report RJ 9805, Computer Science, IBM Research Report, Pp. 1-4.

Faloutsos, C. and Lin, K.I., (1995) Fastmap : A fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets, Proceedings of SIGMOD, Pp.163–174.

Faloutsos, C., Flickner, M., Niblack, W., Petkovic, D., Equitz, W. and Barber, R. (1994) Efficient and Effective Querying by Image Content, Journal of Intelligent Information Systems, Vol. 3, No. 34, Pp. 231-262.

Fanjie, M. Baolong, G. and Xianxiang, W. (2012) Localized Image Retrieval Based on Interest Points, International Workshop on Information and Electronics Engineering (IWIEE), Pp. 3371 – 3375.

Fathian, M. and Tab, F.A. (2011) A novel content-based image retrieval approach using fuzzy combination of color and texture, Proceedings of the Third international conference on Artificial intelligence and computational intelligence, Vol. Part III (AICI'11), Deng, H., Miao,D., Lei, J. and Wang, F.L. (Eds.), Springer-Verlag, Berlin, Heidelberg, Pp. 12-23.

Feng, C. and Michie, D. (1994) Machine Learning of Rules and Trees, in Michie, D., Spiegelhalter, D.J., Taylor, C.C. (Eds.) Machine Learning, Neural and Statistical Classification, Ellis Horwood.

Fernando, R. and Kulkarni, S. (2012) Hybrid Technique for Color Image Classification and Efficient Retrieval based on Fuzzy Logic and Neural Networks, International Joint Conference on Neural Networks, Pp. 1-6.

Field, D.J. (1987) Relations Between the Statistics of Natural Images and the Response Properties of Cortical Cells, Journal of Optical Society America, Vol. 12, No. 4, Pp. 2370– 2393.

Finlayson, G.D. (1996) Color in perspective, IEEE Transactions on Pattern Analysis and Machine Intelligence,Vol.8, No. 10, Pp.1034-1038.

Fletcher, P. (1991) A SIMD Parallel Color Quantization Algorithm, Computers & Graphics, Vol. 15, No. 3, Pp. 365–373.

Flickner, M., Sawhney, H., Niblack, W., Ashley, J., Huang, Q., Dom, B., Gorkani, M., Hafner, J., Lee, D., Petkovic, D., Steele, D. and Yanker, P. (1995) Query by image and video content: the QBIC system, IEEE Computer, Vol.28, No.9, Pp. 23-32.

189

Flusser, J. (2000) On the Independence of Rotation Moment Invariants, Pattern Recognition, Vol. 33, Pp. 1405–1410.

Flusser, J. and Suk, T. (2006) Rotation Moment Invariants for Recognition of Symmetric Objects, IEEE Transactions on Image Processing, Vol. 15, Pp. 3784–3790.

Freeman, H. and Davis, L.S. (1977) A Corner Finding Algorithm for Chain Coded Curves, IEEE Transaction in Computing, Vol. 26, Pp. 297–303.

Gallas, A., Barhoumi, W., Zagrouba, E. (2012) Image Retrieval Based on Wavelet Sub-bands and Fuzzy Weighted Regions, International Conference on Communications and Information Technology (ICCIT), Pp. 33-37.

Ganesh, S.S., Ramar, K., Manimegalai, D. and Sivakumar, M. (2012) Image Retrieval Using Heuristic Approach and Genetic Algorithm, Journal of Computational Information Systems, Vol. 8, No. 4, Pp. 1563-1571.

Garcia, C., Zikos, G. and Tziritas, G. (1998) A Wavelet-based Framework for Face Recognition, Proceedings of Workshop on Advances in Facial Image Analysis and Recognition Technology, 5th European Conference on Computer Vision, Pp. 84-92.

Gavade, J.D., Chhajed, G.J., Kshitija, A. and Upadhyay, A. (2013) Review on Image Retrieval Systems, International Journal of Advanced Research in electrical, Electronics and Instrumentation Engineering Vol. 2, Issue 4, Pp. 945-949.

Gevers, T. and Smeulders, A. (2000) Pictoseek: Combining color and shape invariant features for image retrieval, IEEE Trans. Image Processing, Vol. 9, No. 1, Pp.102–119.

Gevers, T. and Stokman, H. (2003) Classifying color edges in video into shadow geometry, highlight, or material transitions, IEEE Transactions on Multimedia, Vol. 5, No. 2, Pp. 237-243.

Ghazali, K.H.B., Ma, J., Xiao, R. and Aryza Lubis, S. (2012) An Innovative Face Detection Based on YCgCr Color Space, International Conference on Solid State Devices and Materials Science, Physics Proceedings, Vol.25, Pp. 2116-2124.

Ghosh, P., Antani, S., Long, L.R. and Thoma, G.R. (2011) Review of medical image retrieval systems and future directions, 2011 24th International Symposium on Computer-Based Medical Systems (CBMS), Pp.1-6.

Glatard, T., Montagnat, J. and Magnin, I.E. (2004) Texture based medical image indexing and retrieval: Application to cardiac imaging, Proceedings of the ACM

190

SIGMM International Workshop on Multimedia Information Retrieval, Pp. 135-142.

Goldberg, D.E. (2006) Genetic Algorithms in Search, Optimization and Machine Learning, Morgan Kaufmann.

Goldberg, N. (1991) Color Image Quantization for High Resolution Graphics Display, Image and Vision Computing, Vol. 9, No. 5, Pp. 303–312.

Gonde, A.B., Maheshwari, R.P. and Balasubramanian, R. (2013) Modified curvelet transform with vocabulary tree for content based image retrieval, Digital Signal Processing, Vol. 23, Pp. 142–150.

Gong, P., Marceau, D. J. and Howarth, P. J. (1992) A comparison of spatial feature extraction algorithms for land-Use classification with SPOT HRV data, Remote Sensing of Environment, Vol. 40, Pp. 137-151.

Gonzales, R.C. and Woods, R.E. (2007) Digital image processing, Third Edition, Prentice Hall

Gool, L. V., Dewaele, P., and Qosterlinck, A. (1985) Texture analysis, Anno. 1983, Computer Vision Graphics and Image Processing, Vol. 29, Pp. 336-357.

Goran, G. and Dusan, S. (2014) Educational software for studying a CBIR system, International Journal of Electrical Engineering Education, Vol. 46, Issue 4, Pp. 370-382.

Gotlieb, C.C. and Kreyszig, H E. (1990) Texture descriptors based on co-occurrence matrices, Computer Vision, Graphics, and Image Processing, Vol. 51, Pp. 70-86.

Goyal, A. and Walia, E. (2012) Variants of dense descriptors and Zernike moments as features for accurate shape-based image retrieval, International Journal of Signal, Image and Video Processing, Pp. 1-17.

Greene, D. (1989) An implementation and performance analysis of spatial data access, Proceedings of Fifth International Conference on Data Engineering, Pp. 606 – 615.

Gross, M.H., Koch, R., Lippert, L. and Dreger, A. (1994) Multiscale image texture analysis in wavelet spaces, Proceedings of IEEE International Conference on Image Processing, Vol.3, Pp. 412-416.

Guan, H. and Wada, S. (2002) Flexible color texture retrieval method using multiresolution mosaic for image classification, Proceedings of the 6th International Conference on Signal Processing, Vol. 1, Pp. 612-615.

Gudivada, V.N. and Raghavan, J.V. (1995) Special issue on content-based image retrieval systems, IEEE Computer Magazine, Vol. 28, No.9, Pp. 11-18.

191

Gunatilaka, A.H. and Baertlein, B.A. (2001) Feature-level and decision-level fusion of noncoincidently sampled sensors for land mine detection, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 23, No. 6, Pp. 577-489.

Gupta, A. and Jain, R. (1997) Visual information retrieval, Magazine Communications of the ACM, Vol. 40, No. 5, Pp. 70-79.

Guttman, A. (1984) R-tree: A dynamic index structure for spatial searching, ACM Sigmoid International Conference on Management of Data, Pp. 47-57.

Ha, J., Kim, G. and Choi, H. (2008) The Content-Based Image Retrieval Method Using Multiple Features, Fourth International Conference on Networked Computing and Advanced Information Management, 2008. NCM '08, Pp. 652 – 657.

Hafianea, A., Chaudhurib, S., Seetharamanc, G. and Zavidoviquea, B. (2006) Region-based CBIR in GIS with local space filling curves to spatial representation, Pattern Recognition Letters, Vol. 27, Issue 4, Pp. 259–267.

Harald, K. and Paul, M. (2010) Content-Based Image Retrieval Systems - Reviewing and Benchmarking, Journal of Digital Information Management, Vol. 8, Issue 1, Pp. 54-64.

Haralick, R.M. (1979) Statistical and structural approaches to texture, Proceedings of the IEEE, Vol. 67, Pp. 786-804.

Haralick, R.M., Shanmugam, K. and Dienstein, I. (1973) Textural Features for Image Classification, IEEE Transaction on Systems, Man and Cybernetics, Vol. 3, No. 6, Pp. 610– 621.

Hartigan, J. (1975) Clustering Algorithms, John Wiley & Sons, New York.

Hartigan, J. and Wong, M. (1979) Algorithm AS136: A k-means clustering algorithm, Applied Statistics, Vol. 28, Pp. 100-108.

Hathaway, R., Bezdek, J. and Hu, Y. (2000) Generalized fuzzy c-means clustering strategies using L norm distances, IEEE Transaction on Fuzzy Systems, Vol.8, No. 5, Pp. 576–582.

Hirata, K and Kato, T (1992) Query by visual example – content-based image retrieval, Third International Conference on Extending Database Technology, Pp. 56-71.

Hirwane, R. (2012) Fundamental of Content Based Image Retrieval, IJCST International Journal of Computer Science and Technology, Vol. 3, Issue 1, Pp. 114-116.

192

Holt, B and Hartwick, L (1994) Retrieving art images by image content: the UC Davis QBIC project, Proceedings of First International Conference on Electronic Library and Visual Information System Research, de Montfort University, Milton Keynes, Pp. 93-100.

Hong, Y.J., Kumar, K. and Lu, Y.H. (2009) Energy efficient content-based image retrieval for mobile systems, IEEE International Symposium on Circuits and Systems, Pp. 1673 – 1676.

Howarth, P. and Rüger, S. (2004) Evaluation of Texture Features for Content-based Image Retrieval, Proceedings of CIVR04, Pp. 326–334.

Howarth, P. and Rüger, S. (2005) Robust Texture Features for Still Image Retrieval, IEEE Proceedings of Vision, Image Signal Processing, Vol. 152, No. 6, Pp. 868–874.

Hu, M.K. (1962) Visual pattern recognition by moment invariants, computer methods in image analysis, IRE Transactions on Information theory, Vol. 8, Pp. 62-68.

Huang, A. (2008) Similarity Measures for Text Document Clustering, (Eds. Jay Holland, Amanda Nicholas, Delio Brignoli), New Zealand Computer Science Research Student Conference (NZCSRSC 2008), Christchurch, New Zealand, Pp. 45-56.

Huang, C., Han, Y. and Zhang, Y. (2012) A Method for Object-based Color Image Retrieval, 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Pp. 1659-1663.

Huang, T.S . Mehrotra, S. and Ramachandran, K. (1996) Multimedia analysis and retrieval system (MARS) project, Proceedings of 33rd Annual Clinic on Library Application of Data Processing-Digital Image Access and Retrieval, Pp.1-8.

Hurvich, L.M. and Jameson, D. (1957) An Opponent-process Theory of Color Vision, Psychological Review, Vol. 64, Pp. 384-390.

Ilk, H.G. and Guler, S. (2011) Signal transformation and interpolation based on modified DCT synthesis, Digital Signal Processing, Vol. 21, Issue 6, Pp. 756-763.

Ioka, M. (1989) A Method of Defining the Similarity of Images on the Basis of Color Information, Technical Report RT-0030, IBM Research, Tokyo Research Laboratory.

Jadhav, S.H. and Ahmed, S.A. (2012) Content based Image Retrieval System with Hybrid Feature Set and Recently Retrieved Image Library, International Journal of Computer Applications, Vol. 59, No.5, Pp. 46-55.

193

Jain, A.K., Goel, S., Agarwal, S., Mittal, V., Sharma, H. and Mahindru, R. (1997) Multimedia systems for art and culture: a case study of Brihadisvara Temple, Storage and Retrieval for Image and Video Databases V (Sethi, I K and Jain, R C, eds), Proceedings SPIE 3022, Pp. 249-261.

Jain, R (1995) World-wide maze IEEE Multimedia, Vol. 2, Issue 2, Pp. 1-3.

James, M. (1985) Classification Algorithms, John Wiley Publications.

Jolliffe, I.T. (2002) Principal Component Analysis, Series: Springer Series in Statistics, 2nd ed., Springer, XXIX, 489 p.

Jun, Y., Benyu, Z., Ning, L., Shuicheng, Y., Qiansheng, C., Weiguo, F., Qiang, Y., Wensi, X. and Zheng, C. (2006) Effective and efficient dimensionality reduction for large-scale and streaming data preprocessing, IEEE transactions on Knowledge and Data Engineering, Vol. 18, No. 3, Pp. 320-333.

Kanjanawanishkul, K. and Uyyanonvara, B. (2005) Novel Fast Color Reduction Algorithm for Time-Constrained Applications, Journal of Visual Communication and Image Representation, Vol. 16, No. 3, Pp. 311–332.

Kapur, D., Lakshman, Y.N. and Saxena, T. (1995) Computing invariants using elimination methods, Proceedings of International Symposium on Computer Vision, Pp. 97-102.

Kato T and Kurita T (1990) Visual interaction with the Electronic Art Gallery, Database and Expert Systems Applications: Proceedings on an International Conference, Pp. 234-240.

Kato, T. (1992) Database Architecture for Content-Based Image Retrieval, Image Storage and Retrieval Systems, (A. Jambardino and W. Niblack, eds.) Proceedings of SPIE 1662, Pp. 112-123.

Kaur, S. and Banga, V. (2013) Content Based Image Retrieval : Survey and Comparison between RGB and HSV model, International Journal of Engineering Trends and Technology, Vol. 4, Issue 4, Pp. 575-579.

Kekre, H.B., Thepade, S.D. and Maloo, A.(2010) CBIR Feature Vector Dimension Reduction with Eigenvectors of Covariance Matrix using Row, Column and Diagonal Mean Sequences, International Journal of Computer Applications, Vol. 3, No. 2, Pp. 38-45.

Keys, R.G. (1981) Cubic convolution interpolation for digital image processing, IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 29, No. 6, Pp. 1153-1160.

194

Khokher, A. and Talwar, R. (2012) Content-based Image Retrieval: Feature Extraction Techniques and Applications, International Conference on Recent Advances and Future Trends in Information Technology, Proceedings published in International Journal of Computer Applications (IJCA), Pp. 9-14.

Khurana, S. and Komal, M. (2012) Content based medical image retrieval using shape descriptors, International Journal of Latest Research in Science and Technology, Vol.1, Issue 2, Pp. 115-119

Kiranyaz, S. and Gabbouj, M. (2007) Hierarchical Cellular Tree: An Efficient Indexing Scheme for Content-Based Retrieval on Multimedia Databases, IEEE Transactions on Multimedia, Vol. 9, No. 1, Pp. 102-119.

Kohonen, T. (2001) Self-Organizing Maps, 3rd Ed., Springer-Verlag, Vol. 30, Springer Series in Information Sciences, New York.

Koikkalainen, P. (1994) Progress with the tree-structured self organizing map. In A. G. Cohn, Editor, 11th European Conference on Artificial Intelligence, European Committee for Artificial Intelligence (ECCAI), John Wiley & Sons, Ltd.

Koikkalainen, P. and Oja, E. (1990) Self-organizing hierarchical feature maps. International Joint Conference on Neural Networks, Vol. II, Pp. 279–284.

Konstantinidis, K., Vonikakis, V., Panitsidis, G. and Andreadis, I. (2011) A Center-Surround Histogram for content-based image retrieval, Pattern Analysis Applications, Vol. 14, Pp. 251–260.

Krishna, N.V.V.D. and Venugopan, S.V.V.D (2012) Doodle4Match – Content-based Image Retrieval System Using Doodles, International Journal of Engineering Research & Technology, Vol. 1, Issue 7, Pp. 1-7.

Krishnamoorthy, R. and Sathiyadevi, S. (2013) Image retrieval using edge based shape similarity with multiresolution enhanced orthogonal polynomials model, Digital Signal Processing, Vol. 23, Pp. 555–568.

Kshatri, M. and Ratore, Y. (2012) Row mean and column mean based CBIR system for gray scale image, International Journal of Engineering Research & Technology (IJERT), Vol. 1 Issue 6, Pp.1-13.

Kundu, A. and Chen, J.L. (1992) Texture classification using qmf bank-based subband decomposition, CVGIP: Graphical Models and Image Processing, Vol. 54, No.5, Pp. 369–384.

Laaksonen, J., Koskela, M., Laakso, S. and Oja, E. (2000) Picsom - content-based image retrieval with self-organizing maps, Pattern Recognition Letters, Vol. 21, Pp. 1199-1207.

195

Lee, D., Barber, R., Niblack, W., Flickner, M., Hafner, J. and Petkovic, D. (1994) Indexing for complex queries on a query-by-content image database, Proceedings IEEE International Conference on Image Processing, Vol. 1, Pp. 142-146.

Lee, D.H. (2008) A New Edge-Based Intra-Field Interpolation Method for Deinterlacing using Locally Adaptive-Thresholded Binary Image, International Conference on Consumer Electronics, Digest of Technical Papers, Las Vegas, Pp. 1-2.

Lee, Y.B., Park, U., Jain, A.K. and Lee, S.W. (2012) Pill-ID: Matching and retrieval of drug pill images, Pattern Recognition Lett, Volume 33, Issue 7, Pp. 904–910.

Lehmann, T.M., Gonner, C. and Spitzer, K. (1999) Survey : Interpolation methods in medical image, IEEE Transactions on Medical Imaging, Vol. 18, No. 11, Pp. 1049-1075.

Lei, Z., Keren, D. and Cooper, D.B. (2008) Computationally fast Bayesian recognition of complex objects based on mutual algebraic invariants, Proceedings IEEE International Conference on Image Processing, Vol. 2, Pp. 635-638.

Li, B. and Ma, S.D. (1994) On the relation between region and contour representation, Pattern Recognition, Proceedings of the 12th IAPR International Conference on Computer Vision and Image Processing, Vol. 1, Pp. 352-355.

Li, H., Wang, X., Tang, J. and Zhao, C. (2013) Combining global and local matching of multiple features for precise item image retrieval, Multimedia Systems Vol. 19, Pp. 37–49.

Li, J. and Allinson, N.M. (2013) Relevance Feedback in Content-Based Image Retrieval: A Survey, Handbook on Neural Information Processing, Intelligent Systems Reference Library, Vol. 49, Pp. 433-469.

Li, J. and Wang, J.Z. (2003) Automatic linguistic indexing of pictures by a statistical modeling approach,' IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 25, No. 9, Pp. 1075-1088.

Lightstone, S., Teorey, T. and Nadeau, T. (2007) Physical Database Design: The Database Professional’s Guide to Exploiting Indexes, Views, Storage, and More, Morgan Kaufmann Publishers.

Lin, C.H., Chen, R.T. and Chan, Y.K. (2009) A smart content-based image retrieval system based on color and texture feature, Image and Vision Computing, Vol. 27, Pp. 658–665.

Lippmann, R. (1987) An introduction to computing with neural nets, IEEE ASSP Magazine, Vol. 4, No. 22, Pp. 1-2.

196

Liu, C.J. and Wechsler, H. (2001) A shape- and texture-based enhanced Fisher classifier for face recognition, IEEE Trans. Image Process., Vol. 10, No. 4, Pp. 598-608.

Liu, Y., et al (1998) Content-based 3-D neuroradiologic image retrieval: preliminary results, IEEE International Workshop on Content-based Access of Image and Video Databases (CAIVD’98), India, Pp. 91-100.

Long, F., Zhang, H., Dagan, H. and Feng, D. (2003) Fundamentals of content based image retrieval, D. Feng, W. Siu, H. Zhang (Eds.): Multimedia Information Retrieval and Management, Technological Fundamentals and Applications, Multimedia Signal Processing Book, Chapter 1, Springer-Verlag, Berlin Heidelberg, New York, Pp.1-26.

Lyu, S. and Farid, H. (2005) How Realistic is Photorealistic? IEEE Transactions on Signal Processing, Vol.3, Pp. 22-31.

Ma, W.Y. and Manjunath, B.S. (1995) A comparison of wavelet transform features for texture image annotation, Proceedings IEEE International Conference on Image Processing, Vol. 2, Pp. 256-259.

Ma, W.Y. and Manjunath, B.S. (1997b) NeTra: A toolbox for navigating large image databases, Proceedings IEEE International Conference on Image Processing, Vol. 1, Pp. 568-571.

Ma, Z.M., Zhang, G. and Yan, L. (2011) Shape feature descriptor using modified Zernike moments, Pattern Analysis and Applications, Vol. 14, Pp. 9–22.

MacQueen, J. (1967) Some methods for classification and analysis of multivariate observations, Proceedings 5th Berkeley Symposium, Vol. 1, Pp.281–297.

Mahmoud, M.I., Dessouk, M.I.M., Deyab, S. and Elfouly, F.H. (2007) Comparison between Haar and Daubechies Wavelet Transformions on FPGA Technology, Proceedings of World Academy of Science, Engineering and Technology, Vol. 20, Pp. 12-16.

Mangai, U.G., Samanta, S., Das, S. and Chowdhury, P.R. (2010) A Survey of Decision Fusion and Feature Fusion Strategies for Pattern Classification, IETE Tech Rev 2010; Vol. 27, Pp. 293-307.

Manjunath, B.S. and Ma, W.Y. (1996) Texture Features for Browsing and Retrieval of Image Data, IEEE Transaction Pattern Analysis Machine Intelligence, Vol. 18, No. 8, Pp. 837–842.

Manjunath, B.S., Salembier, P. and Sikora, T. (2002) Introduction to MPEG-7: Multimedia Content Description Interface, Wiley, Chichester.

197

Manjunath, B.S., Wu, P., Newsam, S. and Shin, H.D. (2000) A Texture Descriptor for Browsing and Similarity Retrieval, Proceedings of Signal Processing Image Communications, No. 1–2, Pp. 33–43.

Mao, J. and Jain, A. (1996) A self-organizing network for hyperellipsoidal clustering (HEC), IEEE Transaction on Neural Networks, Vol. 7, No. 1, Pp. 16–29.

Marakakis, A., Galatsanos, N., Likas, A. and Stafylopatis, A. (2009) Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection, (C. Alippi et al. Eds.): ICANN 2009, Part I, LNCS 5768, Springer-Verlag Berlin Heidelberg, Pp. 942–951.

Mehrotra, S., Chakrabarti, K., Ortega, M., Rui, Y. and Huang, T.S. (1997a) Multimedia analysis and retrieval system, Proceedings of the 3rd International Workshop on Information Retrieval Systems, Pp. 1-15.

Mehrotra, S., Rui, Y., Michael, O.B. and Huang, T.S. (1997b) Supporting content-based queries over images in MARS, Proceedings of IEEE International Conference on Multimedia Computing and Systems, Pp. 632 – 633.

Mehtre, B.M., Kankanhalli, M. and Lee, W.F. (1997) Shape measures for content based image retrieval: A comparison, Information Processing & Management, Vol. 33, No.3, Pp.1-8.

Miyahara, M. and Yoshida, Y. (1988) Mathematical transform of (r,g,b) color data to munsell (h,s,v) color data, Proceedings SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, Online Article, http://dx.doi.org/10.1117/12.969009.

Moghaddam, H., Khajoie, T. and Rouhi, A. (2003) A new algorithm for image indexing and retrieval using wavelet correlogram, Proceedings of the International Conference on Image Processing, Vol. 3, Pp. 497-500.

Moghaddam, H.A. and Dehaji, M.N. (2013) Enhanced Gabor wavelet correlogram feature for image indexing and retrieval, Pattern Analysis and Applications, Vol. 16, Issue 2, Pp 163-177.

Mokji, M.M. and Abu Bakar, S.A.R. (2007) Gray Level Co-occurrence Matrix Computation Based on Haar Wavelet, Computer graphics, Imaging and Visualization(CGIV) IEEE Computer Society, Pp. 273-279.

Moosmann, F., Nowak, E. and Jurie, F. (2008) Randomized clustering forests for image classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 30, No. 9, Pp. 1632–1646.

198

Muller, H., Michoux, N., Bandon, D. and Geissbuhier, A. (2004) A review of content-based image retrieval systems in medical applications-clinical benefits and future directions, International Journal of Medical Information, Vol. 73, No. 1, Pp. 1-23.

Muller, K.R. and Orr, G. (Editors) (1999) Neural Networks: Tricks of the Trade, 1st Edition.

Murala, S., Maheshwari, R.P. and Balasubramanian, R. (2012) Directional local extrema patterns: a new descriptor for content based image retrieval, International Journal of Multimedia Information Retrieval, Vol. 1, Pp. 191–203.

Nandwal, A., Shrivastava, R. and Vyas, K. (2012) Face Recognition Using Content Based Image Retrieval (CBIR) Technique, VSRD International Journal of Computer Science and Information Technology, Vol. 2, No. 7, Pp. 605-611.

Ng, R. and Sedighian, A. (1996) Evaluating multi-dimensional indexing structures for images transformed by principal component analysis, Proceedings SPIE Storage and Retrieval for Image and Video Databases, (Ishwar K. Sethi; Ramesh C. Jain; Eds.), No. 2670, Pp. 50-61.

Niblack, W. et al., (1993) Querying images by content, using color, texture, and shape, SPIE Conference on Storage and Retrieval for Image and Video Database, Vol. 1908, Pp.173-187.

Niblack, W., Barber, R. and Equitz, W., Flickner, M.D., Glasman, E.H., Petkovic, D., Yanker, P., Faloutsos, C. and Taubin, G. (1994) the QBIC project: Querying images by content using color, texture and shape, Proceedings of SPIE Storage and Retrieval for Image and Video Databases, Pp. 173-187.

Nievergelt, J., Hinterberger, H. and Sevcik, K.C. (1984) the grid file: an adaptable symmetric multikey file structure, ACM Transaction on Database Systems, Pp. 38-71.

Ohanian, P.P. and Dubes, R.C. (1992) Performance evaluation for four classes of texture features, Pattern Recognition, Vol. 25, No.8, Pp. 819–833.

Omaima, N.A. (2010) Improving the performance of backpropagation neural network algorithm for image compression/decompression system, Journal of Computer Science, Vol. 6, Pp. 1347-1354.

Orphanoudakis, S.C., Chronaki, C.E. and Kostomanolakis, S. (1994) I2C net: A system for the indexing, storage and retrieval of medical images by content, Medical Informatics, Vol. 19, No.2, Pp. 109-122.

199

Ortega, M., Rui, Y., Chakrabarti, K., Mehrotra, S. and Huang, T.S. (1997) Supporting similarity queries in MARS, Proceedings of ACM Conference on Multimedia, Pp. 1-18.

Ouyang, A. and Tan, Y. (2002) A novel multi-scale spatial-color descriptor for content based image retrieval, Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, Mexico, Vol. 3, Pp. 1204-1209.

Pavlidis. T. (1982) Algorithms for Graphics and Image Processing, Computer Science Press.

Pearson, K. (1901) "On Lines and Planes of Closest Fit to Systems of Points in Space", Philosophical Magazine, Vol. 2, No.6, Pp. 559–572.

Peli, T., Young, M., Knox, R., Ellis, K. and Bennett, F. (1999) Feature level sensor fusion, Proceedings of the SPIE Sensor Fusion: Architectures, Algorithms and Applications III, Vol. 3719, Pp. 332-339.

Pentland, A. P. (1984) Fractal-based description of natural scenes, IEEE Transaction Pattern Recognition and Machine Intelligence, Vol. 6, No.6, Pp. 661–674.

Pentland, A. and Picard, R. (1996) Special issue on digital libraries, IEEE Transaction on Pattern Recognition and Machine Intelligence, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 18, No. 8, Pp. 783-789.

Pentland, A., Picard, R.W. and Sclaroff, S. (1996) Photobook: Content-based manipulation of image databases, International Journal of Computer Vision, Vol. 8, No. 3, Pp. 233-254

Persoon, E. and Fu, K.S. (1977) Shape discrimination using Fourier descriptors, IEEE Transactions on Systems, Man and Cybernetics, Vol. 7, Issue 3, Pp. 170-179.

Petkovic, D., (1996) Query by Image Content, Storage and Retrieval for Image and Video Databases IV, Oral Presentation, (Sethi, I K and Jain, R C, eds), Proceedings of SPIE 2670, Pp. 1-4.

Phan, R. and Androutsos. D. (2010) Content-based retrieval of logo and trademarks in unconstrained color image databases using color edge gradient co-occurrence histograms, Computer Vision and Image Understanding, Vol. 114, No.1, Pp. 66-84.

Picard, R.W., Minka, T.P. and Szummer, M. (1996) Modeling user subjectivity in image libraries, Proceedings IEEE International Conference on Image Proceedings, Lausanne, Vol. 1, Pp. 777-780.

200

Powell, G. (2006) Beginning Database Design and Implementation, Wrox Press.

Prabhu, J. and Kumar, J.S. (2014) Wavelet based content based image retrieval using color and texture feature extraction by gray level co-occurrence matrix and color co- occurrence matrix, Journal of Computer Science, Vol. 10, Pp. 15-22.

Press, W.H., Teukolsky, S.A., Vetterling, W.T. and Flannery, B.P. (2002) Numerical Recipes in C++: The Art of Scientific Computing, 2nd ed., Cambridge University Press, New York.

Prokop, R .J. and Reeves, A. P. (1992) A Survey of Moment Based Techniques for Unoccluded Object Representation and Recognition, CVGIP: Graphical Models and Image Processing Vol. 54, No. 5, Pp. 438-460.

Qi, X. and Han, Y. (2005) A novel fusion approach to content-based image retrieval, Pattern Recognition, Vol. 38, Pp. 2449 – 2465.

Qian, G., Sural, S., Gu, Y. and Pramanik, S. (2004) Similarity between Euclidean and cosine angle distance for nearest neighbor queries, Proceedings of ACM Symposium on Applied Computing, Vol. 12, No. 22, Pp. 1232-1237.

Qiaoqiao, Z. and Yuanyuan, H. (2012) A New Image Retrieval Method Based on Color Feature, Second International Conference on Intelligent System Design and Engineering Application (ISDEA), Pp. 56-59.

Quellec, G., Lamard, M., Cazuguel, G. and Cochener, B. (2012) Fast Wavelet-Based Image Characterization for Highly Adaptive Image Retrieval, IEEE Transactions On Image Processing, Vol. 21, No. 4, Pp. 1613-1623.

Quellec, G., Lamard, M., Cazuguel, G., Cochener, B., Roux, C. (2010) Wavelet optimization for content-based image retrieval in medical databases, Medical Image Analysis, Vol. 14, Pp. 227–241.

Quellec, G., Lamard, M., Cochener, B., Roux, C. and Cazuguel, G. (2012) Comprehensive Wavelet-Based Image Characterization for Content Based Image Retrieval, 10th International Workshop on Content-Based Multimedia Indexing (CBMI), Pp. 1-6.

Rabiner, L. and Juang, B.H. (1993) Fundamentals of Speech Recognition, Chap.5, Prentice–Hall, Englewood Cliffs, NJ.

Rahman, N.A.A., Wei, K.C. and See, J. (2006) RGB-H-CbCr Skin Color Model for Human Face Detection, Proceedings of The MMU International Symposium on Information & Communications Technologies (M2USIC 2006), Pp.1-6.

201

Rajam, F. and Valli, S. (2013) A survey on content based image retrieval, Life Science Journal, Vol. 10, No. 2, Pp. 2475-2487.

Rashedi, E., Nezamabadi, H. and Saryazdi, S. (2013) A simultaneous feature adaptation and feature selection method for content-based image retrieval systems, Knowledge-Based Systems, Vol. 39, Pp. 85–94.

Rasheed, W., An, Y., Pan, S., Jeong, I., Park, J. and Kang, J. (2008) Image Retrieval Using Maximum Frequency of Local Histogram Based Color Correlogram, Proceedings of the 2008 Second Asia International Conference on Modelling & Simulation (AMS), Pp. 322-326.

Rasli, R.M., Muda, T.Z.T., Yusof, Y. and Bakar, J.A. (2012) Comparative Analysis of Content Based Image Retrieval Technique using Color Histogram. A Case Study of GLCM and K-Means Clustering, Third International Conference on Intelligent Systems, Modelling and Simulation, Pp. 283 – 286.

Robinson, J.T. (1981) the k-d-B-tree: a search structure for large multidimensional dynamic indexes, Proceedings of the 1981 ACM SIGMOD international conference on Management of data, ACM, New York, Pp. 10-18.

Roweis, S.T. and Saul, L.K. (2000) Nonlinear Dimensionality Reduction by Locally Linear Embedding, Science, Vol. 290, No. 5500, Pp. 2323–2326.

Rubner, Y. and Tomasi, C (1999) Texture-Based Image Retrieval Without Segmentation, Proceedings of the Seventh IEEE International Conference on Computer Vision, Vol.2, Pp. 1018-1024.

Rugna, J.D., Chareyron, G. and Konik, H.(2011) About Segmentation Step in Content-based Image Retrieval Systems, Proceedings of the World Congress on Engineering and Computer Science, San Francisco, USA, Pp. 1-5.

Rui, Y. and Huang, T. (2000) Optimizing learning in image retrieval, IEEE International Conference on Computer Vision and Pattern Recognition, Hilton Head, USA, Vol. 1, Pp. 236–245.

Rui, Y., Chakrabarti, K., Mehrotra, S., Zhao, Y. and Huang, T.S. (1997) Dynamic clustering for optimal retrieval in high dimensional multimedia databases, TR-MARS-10-97.

Rui, Y., Huang, T.S., Ortega, M. and Mehrotra, S. (1998) Relevance feedback: A power tool for interactive content-based image retreival, IEEE Transactions on Circuits and Video Technology, Pp. 644-655.

Rui, Y., She, A.C. and Huang, T.S. (1996a) Automated shape segmentation using attraction-based grouping in spatial-color-texture space, Proceedings IEEE International Conference on Image Processing, Pp. 66-71.

202

Rui, Y., She, A.C. and Huang, T.S. (1996b) Modified Fourier descriptors for shape representation—a practical approach, Proceedings of First International Workshop on Image Databases and Multi Media Search, Pp. 1-6.

Salton, G. and McGill, M.J. (1983) Introduction to Modern Information Retrieval, McGraw-Hill, New York.

Sandhya, N., Srilalitha, Y., Govardhan, A. and Anuradha, K. (2008) Analysis of Similarity Measures for Text Clustering, CSC Journals, Pp. 1-10.

Saraswat, M., Goswami, A.K. and Tiwari, A. (2013) Object Recognition Using Texture Based Analysis, International Journal of Computer Science and Information Technologies, Vol. 4, No. 6, Pp. 775-782.

Scassellati, B., Alexopoulos, S. and Flickner, M. (1994) Retrieving images by 2d shape : A comparison of computation methods with human perceptual judgments, Proceedings SPIE Storage and Retrieval for Image and Video Databases, Pp. 2-14.

Sclaroff S., Taycher, L. and La Cascia, M. (1997) ImageRover: a content-based image browser for the World-Wide Web, Proceedings of IEEE Workshop on Content-Based Access of Image and Video Libraries, San Juan, Puerto Rico, Pp. 2-9.

Sebe, N. and Lew, M.S. (2000) Wavelet Based Texture Classification, Proceedings of International Conference on Pattern Recognition, Vol. 3, Pp. 959–962.

Sellis, T., Roussopoulos, N. and Faloutsos, C. (1987) The RC-tree: A dynamic index for multi-dimensional objects, Proceedings 12th VLDB, Pp. 507-518.

Selvan, S., Kavitha, M., Shenbagadevi, S. and Suresh, S. (2010) Feature extraction for characterization of breast lesions in ultrasound echography and elastography, Journal of Computer Science, Vol. 6, Pp. 67-74.

Shambharkar, S.A. and Tirpude, S.C. (2012) A Comparative Study on Retrieved Images by Content Based Image Retrieval System based on Binary Tree, Color, Texture and Canny Edge Detection Approach, IJACSA Special Issue on Selected Papers from International Conference and Workshop on Emerging Trends in Technology, Pp. 47-51.

Shapiro, L.G. and Stockman, G.C. (2001) Computer Vision, Upper Saddle River: Prentice–Hall.

Shete, D.S. and Chavan, M.S. (2012) Content Based Image Retrieval: Review, International Journal of Emerging Technology and Advanced Engineering, Vol. 2, Issue 9, Pp.85-90.

203

Shriram, K.V., Priyadarsini, P.L.K., Velusamy, K. and Balachandran, A. (2014) An efficient enhanced content based image retrieval for a computational engine, Journal of Computer Science, Vol. 10l, No. 2, Pp. 272-284.

Sidiropoulos, P., Vrochidis, S. and Kompatsiaris, I. (2011) Content-based binary image retrieval using the adaptive hierarchical density histogram Pattern Recognition, Vol. 44, Pp. 739–750.

Sifuzzaman, M., Islam, M.R. and Ali, M.Z. (2009) Application of wavelet transform and its advantages compared to Fourier transform, Journal of Physical Sciences, Vol. 13, Pp. 121-134.

Smeulders, A. W., Worring, M., Santini, S., Gupta, A. and Jain, R. (2000) Content-based image retrieval at the end of the early years, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, No.12, Pp. 1349-1380.

Smith, J.R. and Chang, S.F. (1994) Transform features for texture classification and discrimination in large image databases, Proceedings of IEEE International Conference on Image Processing, Vol. 3, Pp. 407-411.

Smith, J.R. and Chang, S.F. (1995) Automated image retrieval using color and texture, Technical Report CU/CTR 408-95-14, Columbia University.

Smith, J.R. and Chang, S.F. (1995a) Single color extraction and image query, Proceedings of International Conference on Image Processing, Vol. 3, Pp. 528-531.

Smith, J.R. and Chang, S.F. (1995b) Tools and techniques for color image retrieval, IS & T/SPIE Proceedings, Vol. 2670, Storage & Retrieval for Image and Video Databases IV, Pp. 426-437.

Smith, J.R. and Chang, S.F. (1996) Automated binary texture feature sets for image retrieval, IEEE International Conference on Acoustics, Speech and Signal Processing, Vol. 4, Pp. 2239 – 2242.

Smith, J.R. and Chang, S.F. (1996c) Querying by color regions using the VisualSEEk content-based visual query system (M.T.Maybury, Ed.), Intelligent Multimedia Information Retrieval, Chap. 2, AAAI Press, Pp. 23-42.

Smith, J.R. and Chang, S.F. (1996d) Visualseek: A fully automated content-based image query system, Proceedings ACM Multimedia, Pp. 87-98.

Smith, J.R. and Chang, S.F. (1997) An image and video search engine for the World-Wide Web, Storage and Retrieval for Image and Video Databases V (Sethi, I K and Jain, R C, eds), Proceedings SPIE 3022, Pp. 84-95.

Smith, J.R. and Chang, S.F. (1997) Visually searching the web for content, IEEE Multimedia Magazine, Vol. 4, No.3, Pp. 12–20.

204

Snitkowska, E. and Kasprzak, W. (2006) Independent Component Analysis of Textures in Angiography Images, Computational Imaging Vision, Vol. 32, Pp. 367– 372.

Soman, S., Ghorpade, M., Sonone, V. and Chavan, S. (2012) Content Based Image Retrieval using Advanced Color and Texture Features, IJCA Proceedings on International Conference in Computational Intelligence (ICCIA2012), ICCIA No. 9, Pp. 10-14.

Srisuwan, T. and Ruchanurucks, M. (2014) Smoke detection using GLCM, wavelet, and motion, Proceedings of SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 90691H, Pp. 1-6.

Stricker, M. and Dimai, A. (1996) Color indexing with weak spatial constraints, Proceedings SPIE Storage and Retrieval for Image and Video Databases, Pp. 29-40.

Stricker, M. and Dimai, A. (1997) Spectral Covariance and Fuzzy Regions for Image Indexing, Machine Vision Applications, Vol. 10, Pp. 66–73.

Stricker, M. and Orengo, M. (1995) Similarity of color images, Proceedings of SPIE Storage and Retrieval for Image and Video Databases, Pp. 381-392.

Su, M. and Chou, C. (2001) A modified version of the K-means algorithm with a distance based on cluster symmetry, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, No. 6, Pp. 674–680.

Sumana, I.J., Guojun Lu, Dengsheng Zhang (2012) Comparison of Curvelet and Wavelet Texture Features for Content Based Image Retrieval, Multimedia and Expo (ICME) IEEE International Conference on Multimedia and Expo, Pp. 290 – 295.

Supriyanto, E., Wee, L.K. and Min, T.Y. (2010) Ultrasonic marker pattern recognition and measurement using artificial neural network, Proceeding of the 9th WSEAS International Conference on Signal Processing, (ICSP’10), WSEAS, USA., Pp: 35-40

Suresh, P., Sundaram, R.M.D. and Arumugam, A. (2008) Feature Extraction in Compressed Domain for Content Based Image Retrieval, Proceedings of the 2008 International Conference on Advanced Computer Theory and Engineering (ICACTE '08), IEEE Computer Society, Washington, DC, USA, Pp. 1-8.

Svolos, A.E. and Todd-Pokropek, A. (1998) Time and space results of dynamic texture feature extraction in MR and CT image analysis, IEEE Transaction on Information Technology in Biomedicine, Vol. 2, No. 2, Pp. 48-54.

205

Swain, M. and Ballard, D. (1991) Color indexing, International Journal of Computer Vision, Vol. 7, No 1, Pp. 11-32.

Szántó, B., Pozsegovics, P., Vámossy, Z. and Sergyán, S. (2011) Sketch4match -Content-based image retrieval system using sketches, IEEE 9th International Symposium on Applied Machine Intelligence and Informatics (SAMI), Pp.183-188.

Tagare, H. (1997) Increasing retrieval efficiency by index tree adaption, Proceedings of IEEE Workshop on Content-based Access of Image and Video Libraries, Conjunction with IEEE CVPR ’97, Pp. 28-35.

Tam, W.S., Kok, C.W. and Siu, W.C. (2010) Modified edge-directed interpolation for images, Journal of Electronic Imaging, Vol. 19, No.1, Pp. 013011-1 – 013011-20.

Tamura, H. and Yokoya, N. (1984) Image database systems: A survey, Pattern Recognition, Vol. 17, No. 1, Pp. 19-28.

Tamura, H., Mori, S. and Yamawaki, T. (1978) Textural Features Corresponding to Visual Perception, IEEE Transaction Systems, Man and Cybernetics, Vol. 8, Pp. 460–472.

Tang, J., Avula, S.R. and Acton, S.T. (2006) DIRECT: A Decentralized Image Retrieval System for the National STEM Digital Library, American Library Association, Information, Technology and Libraries (ITAL), Vol. 23, No. 1, Pp. 1-4.

Taubin, G. (1991) Recognition and positioning of rigid objects using algebraic moment invariants, Geometric Methods in Computer Vision, SPIE Vol. 1570, Pp. 91-97.

Tech. Rep. 00–034 (2000) University of Minnesota, Minneapolis.

Thevenaz, P., Blu, T. and Unser, M. (2000) Interpolation revisited (medical images application), IEEE Transactions on Medical Imaging, Vol. 19, No. 7, Pp. 739-758.

Thyagarajan, K.S., Nguyen, T. and Persons, C. (1994) A maximum likelihood approach to texture classification using wavelet transform, Proceedings IEEE International Conference on Image Proceedings, Vol. 2, Pp. 640 - 644.

Ting, H.C. and Hang, H.M. (1997) Edge Preserving Interpolation of Digital Images Using Fuzzy Inference, Journal of Visual Communication and Image Representation, Vol. 8, Issue 4, Pp. 338–355.

Torres, G.J., Basenet, R.B., Sung, A.H., Mukkamala, S. and Ribeiro, B.M. (2011) A similarity measure for clustering and its applications, International Journal of Fuzzy Logic and Intelligent Systems, Vol.11, No.3, Pp. 135-216.

206

Ulug, M.E. and McCullough, C.L. (1999) Feature and data level fusion of infrared and visual images, SPIE Conference on Sensor Fusion : Architectures, Algorithms and Applications III, Vol. 3719, Pp. 312-318.

Vadivel, A., Sural, S. and Majumdar, A.K. (2009) Image retrieval from the web using multiple features, Online Information Review, Vol. 33, Issue 6, Pp.1169 - 1188

Vailaya, A., Figueiredo, M.A.G., Jain, A.K. and Zhang, H.J. (2001) Image classification for content-based indexing, IEEE Transactions on Image Processing, Vol.10, No.1, Pp. 52-58.

Valarmathie, P., Srinath, M. and Dinakaran, K., (2009) An increased performance of clustering high dimensional data through dimensionality reduction technique, Journal of Theoretical and Applied Information Technology, Vol. 13, Pp. 271-273.

Vapnik, V. (1995) The Nature of Statistical Learning Theory. Springer, New York.

Vassilieva, N. and Novikov, B. (2005) Construction of Correspondences between Low-level Characteristics and Semantics of Static Images, Proceedings of the 7th All-Russian Scientific Conference on Electronic Libraries: Perspective Methods and Technologies, Electronic Collections, Yaroslavl, Russia, Pp. 1-8.

Vendrig, J., Worring, M. and Smeulders, A.W.M. (1999) Filter image browsing: exploiting interaction in retrieval, Proceedings Viusl'99: Information and Information System, Pp. 147-154.

Venkatesan, M., MeenakshiDevi, P., Duraiswamy, K. and Thyagarajah, K. (2008) Secure Authentication Watermarking for Binary Images using Pattern Matching, IJCSNS International Journal of Computer Science and Network Security, Vol.8, No.2, Pp. 241-250.

Vijay, K. and Anitha, R. (2008) A content based approach to image database retreival, Journal of Computer Applications, Vol. 1, No. 4, Pp. 15-17.

Vogel, J. and Schiele, B. (2006) Performance evaluation and optimization for content-based image retrieval, Pattern Recognition, Vol. 39, No.5, Pp.897–909.

Wallace, I. and Mitchell, O. (1981) Three-dimensional shape analysis using local shape descriptors, IEEE Transactions on Pattern Recognition and Machine Intelligence, Vol. PAMI-3, Issue 3, Pp. 11-17.

Wallace, I. and Wintz, P. (1980) An efficient three-dimensional aircraft recognition algorithm using normalized Fourier descriptors, Computer Graphics and Image Processing, Vol. 13, Pp. 22-34.

207

Wang, J., Yang, W.J. and Acharya, R. (1997) Color clustering techniques for color-content-based image retrieval from image databases, Proceedings of IEEE International Conference on Multimedia Computing and Systems, Pp. 442 – 449.

Wang, J.Z. (2001) Integrated region-based image retrieval, Kluwer Academic Publishers, USA.

Wang, J.Z. Li, J. and Wiederhold, G. (2001) SIMPLIcity: Semantics-sensitive Integrated Matching for Picture LIbraries, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol 23, No.9, Pp. 947-963.

Wang, J.Z., Wiederhold, G., Firschein, O. and Wei, S.X. (1997) Content based image indexing and searching using Daubechie's wavelets, International Journal of Digital Library, Vol. 1, Pp. 311-328.

Wang, S. and Qin, H. (2009) A Study of Order-Based Block Color Feature Image Retrieval Compared with Cumulative Color Histogram Method, Sixth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD '09, IEEE Xplore, Vol. 1, Pp. 81 – 84.

Wang, X.Y., Wu, J.F. and Yang, H.Y. (2010) Robust image retrieval based on color histogram of local feature regions, Multimedia Tools Application, Vol. 49, Pp. 323–345.

Wang, X.Y., Zhang, B.B. and Yang, H.Y. (2012) Content-based image retrieval by integrating color and texture features, Multimedia Tools Applications, Pp.1-25.

Wang, Z., Bovik, A.C., Sheikh, H.R. and Simoncelli, E.P. (2004) Image quality assessment: from error visibility to structural similarity, IEEE Transactions on Image Processing, Vol. 13, No. 4, Pp. 600–612.

Wei, C., Li, C. and Wilson, R. (2006) A content-based approach to medical image database retrieval, Idea Grp Inc., Pp. 258-291.

Wei, C.H., Li, Y., Chau, W.Y. and Li, C.T. (2009) Trademark image retrieval using synthetic features for describing global shape and interior structure, Pattern Recognition, Vol. 42, No. 3, Pp. 386-394.

Weiss, S.M. and Kulikowski, C.A. (1991) Computer Systems that Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning, and Expert Systems, I edition, Morgan Kaufmann.

Welter, P., Deserno, T.M., Fischer, B.,, Rolf, W.G. and Cord, S. (2011) Towards case-based medical learning in radiological decision making using content-based image retrieval, JBMC Medical Informatics and Decision Making, Vol. 11, No. 1, Pp. 1-16.

208

Weston, J. and Watkins. C. (1999) Multi-class support vector machines, Proceedings of ESANN99, M. Verleysen, Ed., Brussels, Belgium.

Weszka, J., Dyer, C. and Rosenfeld, A. (1976) A comparative study of texture measures for terrain classification, IEEE Trans. on Sys., Man. and Cyb. SMC, Vol. 6, No. 4, Pp. 82-88.

White, D. and Jain, R. (1996a) Algorithms and strategies for similarity retrieval, No. TR VCL-96-101, Technical Report, University of California, San Diego.

White, D. and Jain, R. (1996b) Similarity indexing: Algorithms and performance, Proceedings SPIE Storage and Retrieval for Image and Video Databases, (Ishwar K. Sethi; Ramesh C. Jain; Eds.), Vol. 2670, Pp. 62-73.

Wilkins, P., Ferguson, P., Smeaton, A.F. and Gurrin, C. (2005) Text based approaches for content-based image retrieval on large image collections, the 2nd European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology, Pp. 281-288.

Wong, S.T. and Huang, H.K. (1997) Networked multimedia for medical imaging, IEEE Multimedia Magazine April-June, Pp. 24-35.

Wu, J.K., Lam, C.P., Mehtre, B.M., Gao, Y.J. and Narasimhalu, A.D. (1996) Content-based retrieval for trademark registration, Multimedia Tools and Applications, Vol. 3, Pp. 245-267.

Xavier, L., Thusnavis, B.M.I. and Newton, D.R.W. (2011) Content based image retrieval using textural features based on pyramid-structure wavelet transform, 3rd International Conference on Electronics Computer Technology (ICECT), Vol. 4, Pp. 79-83

Xiaoling, W. (2009) A Novel Circular Ring Histogram for Content-Based Image Retrieval, First International Workshop on Education Technology and Computer Science, Vol. 2, Pp.785-788.

Yang, D.S. et al (1994) An intelligent symbol usage assistant for CAD systems, IEEE Expert, Vol. 10, No.3, Pp. 32-41.

Yang, J., Jang, R., Zhang, Y. and Shen, H.B. (2013) High-accuracy prediction of transmembrane inter-helix contacts and application to GPCR 3D structure modeling, Bioinformatics, Pp. 1-6.

Yang, J., Yang, J., Zhang, D. and Lu, J.F. (2003) Feature fusion : Parallel strategy Vs. Serial strategy, Pattern Recognition, Vol. 36, Pp. 1369-1381.

Yang, L. and Algregtsen, F. (1994) Fast computation of invariant geometric moments: A new method giving correct results, Pattern Recognition, Proceedings of the 12th IAPR International Conference on Computer Vision and Image Processing, Pp. 201-204.

209

Yang, Y., Lovell, B.C. and Dadgostar, F. (2009) Content-Based Video Retrieval (CBVR) System for CCTV Surveillance Videos, Digital Image Computing: Techniques and Applications, Pp.183-187.

Yildizer, E., Balci, A.M. Jarada, T.N. and Alhajj, R. (2012a) Integrating wavelets with clustering and indexing for effective content based image retrieval, Knowledge-Based Systems, Vol. 31, Pp. 55–66.

Yildizer, E., Balci, A.M., Hassan, M. and Alhajj, R. (2012b) Efficient content-based image retrieval using Multiple Support Vector Machines Ensemble, Expert Systems with Applications, Vol. 39, Pp. 2385–2396.

Yu, H., Li, M., Zhang, H. and Feng, J. (2002) Color texture moments for content-based image retrieval, Proceedings of the International Conference on Image Processing, Rochester, New York, USA, Vol. 3, Pp. 929-932.

Yu, H.H. and Wolf, W. (1997) Hierarchical, multi-resolution algorithms for dictionary-driven content-based image retrieval, Proceedings IEEE International Conference on Image Processing, Vol. 2, Pp. 823 - 826

Yu, Y. and Acton, S.T. (2002) Speckle Reducing Anisotropic Diffusion, IEEE Transactions on Image Processing, Vol. 11, Pp.1260- 1270.

Yue, J., Li, Z., Liu, L. and Fu, Z. (2011) Content-based image retrieval using color and texture fused features, Mathematical and Computer Modelling, Vol. 54, Pp. 1121–1127.

Zahn, C.T. and Roskies, R.Z. (1972) Fourier descriptors for plane closed curves, IEEE Transaction on Computers, Vol. c-21, No. 3, Pp. 269-281.

Zegarra, J.A.M., Leite, N.J. and Torres, R.S. (2006) Efficient and Effective Content-based Image Retrieval Framework for Fingerprint Databases, V Workshop of thesis and Dissertations, XXI Brazilian Symposium on Databases, Pp. 1-6.

Zhang, A.A. and Zhang, A. (2003) Introduction to the Special Issue on Content-Based Image Retrieval (CBIR) Guest Editors, Journal of Multimedia Systems, Springer-Verlag, Vol. 8, No. 6, Pp. 493-494.

Zhang, D. and Guojun, L.(2001) A Comparison of Shape Retrieval Using Fourier Descriptors and Short-Time Fourier Descriptors, Advances in Multimedia Information Processing, Lecture Notes in Computer Science Vol. 2195, Pp. 855-860

Zhang, D., Islam, M.M., Lu, G. and Sumana, I.J. (2012) Rotation Invariant Curvelet Features for Region Based Image Retrieval, International Journal Computer Visuals, Vol. 98, Pp. 187–201.

Zhang, H., Li, S.A., Chen, S.Y., Su, S.Z., Duh, D. and Li, S.Z. (2012) Adaptive photograph retrieval method Multimedia Tools and Applications, Pp.1-21.

210

Zhang, H.J. and Zhong, D. (1995) A scheme for visual feature based image retrieval, Proceedings SPIE Storage and Retrieval for Image and Video Databases, Pp. 36-46.

Zhang, J. and Ye, L. (2009) Watermarking protocol for protecting user's right in content based image retrieval, IEEE International Conference on Multimedia and Expo, Pp.1082-1085.

Zhiyong, A., Jinjiang, L., Feng, Z. and Jie, G. (2014) Image Retrieval based on the Multiwavelets Texture-Spatial Features, International Journal of Applied Mathematics & Information Sciences, Vol. 8, No. 2, Pp. 745-750.

211

Website References

http://www.popphoto.com , Last Accessed during February, 2014.

http://www.nielsen-netratings.com , Last Accessed during February, 2014.

http://en.wikipedia.org/wiki/Image_retrieval , Last Accessed during February, 2014.

http://vision.ucsd.edu/~dwhite/#3Dcbr , Last Accessed during February, 2014.

http://www.virage.com/market/cataloger.html , Last Accessed during February, 2014.

http://www.excalib.com/products/video/screen.html, Last Accessed during February, 2014.

http://www.islip.com/fprod.htm , Last Accessed during February, 2014.

http://www.esri.com/software/arcgis/arcinfo , Last Accessed during February, 2014.

http://wwwqbic.almaden.ibm.com , Last Accessed during February, 2014.

http://www.virage.com/market/cataloger.html,Last Accessed during February, 2014.

http://vrw.excalib.com/cgi-bin/sdk/cst/cst2.bat , Last Accessed during February, 2014.

http://vivaldi.ece.ucsb.edu/Netra/ , Last Accessed during February, 2014.

http://jadzia.ifp.uiuc.edu , Last Accessed during February, 2014.

http://www/videolib.princeton.edu/test/retrieve , Last Accessed during February, 2014.

http://en.wikipedia.org/wiki/Single-linkage_clustering , Last Accessed during February, 2014.

www.csee.wvu.edu/~xinl/courses/ee565/image_interpolation.ppt , Last Accessed during February, 2014.

http://en.wikipedia.org/wiki/ RGB_color_model , Last Accessed during February, 2014.

http://www.ee.columbia.edu/˜sfchang/demos.html , Last Accessed during February, 2014.