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References
[1]. N. S. Chang and K. S. Fu, ―Query-By Pictorial-Example‖,
IEEE Trans. on Software Engineering Se-6, issue 6, 1980.
[2]. Mirsky S., ―Computers Get the Picture‖, Sci. American., Nov.
2006.
[3]. Staedter T., ―Digital Pics ‗Read‘ By Computer‖, Discovery
News 2006.
http://dsc.discovery.com/news/2006/11/09/imagestec.html.
[4]. Jia Li, James Z. Wang, ―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, 2003.
[5]. James Z. Wang, Jia Li, Gio Wiederhold, ―Simplicity:
Semantics-Sensitive Integrated Matching For Picture
Libraries‖, IEEE Trans. on Pattern Analysis and Machine
Intelligence, Vol 23, No.9, pp. 947-963, 2001.
[6]. CNN, ―Computer Decodes Mona Lisa‘s Smile‖, 2005.
www.cnn.com/2005/tech/12/16/mona.lisa.smile/index.html
[7]. Ritendra Datta, Dhiraj Joshi, Jia Li, and James Z. Wang,
―Image Retrieval: Ideas, Influences, and Trends of The New
Age‖, ACM Computing Surveys, Volume 40, Number 2,
Article 5, April 2008.
[8]. Christel M. G. and Conescu R. M., ―Addressing The Challenge
of Visual Information Access From Digital Image and Video
Libraries‖, In Proceedings of the 5th ACM/IEEE-Cs Joint
Conference on Digital Libraries (JCDL), 2005.
[9]. Yong Rui, Thomas S. Huang, Chang S., ―Image Retrieval:
Current Techniques, Promising Directions, and Open Issues‖,
Journal of Visual Communication and Image Representation,
Volume 10, Number 1, pp.39–62, 1999.
R-2
[10]. Aigrain P., Zhang H., and Petkovic D., ―Content-Based
Representation and Retrieval of Visual Media: A Review of
The State-Of-The-Art‖, Multimedia Tools and Applications,
Volume 3, Number 3, pp.179–202, 1996.
[11]. Armitage L. H. and Enser P. G. B., ―Analysis of User Need In
Image Archives‖, Journal of Information Sciene, Volume 23,
Number 4, pp. 287–299, 1997.
[12]. Del Bimbo A. and Pala P., ―Visual Image Retrieval By Elastic
Matching of User Sketches‖, IEEE Transaction on Pattern
Analysis and Machine Intelligence, Volume 19, Number 2,
pp.121–132, 1997.
[13]. M. Beigi, A. Benitez, and S.F. Chang, ―Metaseek: A Content-
Based Meta Search Engine For Images‖, In Proc. SPIE
Storage and Retrieval For Image and Video Databases, San
Jose, CA, 1998. www.ctr.columbia.edu/metaseek
[14]. Chang, S., Yan, C., Dimitroff, D., and Arndt, T., ―An
Intelligent Image Database System‖, IEEE Transactions on
Software Engineering, Vol. 14, Number 5, PP. 681–688.
[15]. S.K. Chang and A. Hsu, ―Image Information Systems: Where
Do We Go From Here?‖, IEEE Transactions on Knowledge
and Data Engineering, Volume 4, Number 5, 1992.
[16]. Chen C.C., Wactlar H., Wang J. Z., and Kiernan K., ―Digital
Imagery For Significant Cultural and Historical Materials—An
Emerging Research Field Bridging People, Culture and
Technologies‖, International Journal on Digital Libraries,
Volume 5, Number 4, pp. 275–286. 2005.
[17]. S.K. Chang, C. W. Yan, D. C. Dimitroff, and T. Arndt, ―An
Intelligent Image Database System‖, IEEE Transactions on
Software Engineering, Vol. 14, Number 5, 1988.
[18]. C. Faloutsos, M. Flickner, W. Niblack, D. Petkovic,W. Equitz,
and R. Barber, ―Efficient and Effective Querying By Image
Content‖ , Technical Report, IBM Research Report, 1993.
R-3
[19]. M. Flickner, H. Sawhney, W. Niblack, J. Ashley, Q. Huang, B.
Dom, M. Gorkani, J. Hafine, D. Lee, D. Petkovic, D. Steele,
and P.Yanker, ―Query By Image and Video Content: The
QBIC System‖, IEEE Computer, 1995.
[20]. V. N. Gudivada and J. V. Raghavan, ―Special Issue on
Content-Based Image Retrieval Systems‖, IEEE Computer
Magazine, Volume 28, Issue 9, 1995.
[21]. A. Gupta and R. Jain, ―Visual Information Retrieval‖,
Communications of The ACM, Vol. 40, No.5, 1997.
[22]. J. R. Smith and S.-F. Chang, ―Tools and Techniques For
Color Image Retrieval‖, In Is & T/SPIE Proceedings, Vol.
2670, Storage & Retrieval For Image and Video Databases,
1995.
[23]. Barni M., Pelagotti A., and Piva A., ―Image Processing For
The Analysis and Conservation of Paintings: Opportunities
and Challenges‖, IEEE Signal Processing Magazine, Volume
22, pp.141–144, 2005.
[24]. Armitage L. H. and Enser P. G. B., ―Analysis of User Need In
Image Archives‖, Journal of Information Sciene, Volume 23,
Number 4, pp. 287–299, 1997.
[25]. Yong Rui, Thomas S. Huang, Chang S., ―Image Retrieval:
Current Techniques, Promising Directions, and Open Issues‖,
Journal of Visual Communication and Image Representation,
Volume 10, Number 1, pp.39–62, 1999.
[26]. Datta R., Li J., and Wang J. Z., ―Learning The Consensus on
Visual Quality For Next-Generation Image Management‖, In
Proceedings of The ACM International Conference on
Multimedia, 2007.
[27]. A. D. Alexandrov, W. Y. Ma, A. El Abbadi, and B. S.
Manjunath, ―Adaptive Filtering and Indexing For Image
Databases‖, In Proc. SPIE Storage and Retrieval For Image
and Video Databases, 1995.
R-4
[28]. Barnard K., Duygulu P., Forsyth D., De Freitas N., Blei D. M.,
and Jordan M. I., ―Matching Words and Pictures‖, Journal of
Machine Learning, Res. 3, pp.1107–1135, 2003.
[29]. G. Salton and C. Buckley, Term-Weighting, ―Approaches In
Automatic Text Retrieval‖, Information Processing and
Management, 1988.
[30]. R. K. Srihari, ―Automatic Indexing and Content-Based
Retrieval of Captioned Images‖, IEEE Computer Magazine,
Volume 28, Issue 9, 1995.
[31]. Sebe N., Lew M. S., Zhou X., Huang T. S., and Bakker E.,
―The State of The Art In Image and Video Retrieval‖, In
Proceedings of The International Conference on Video
Retrieval (CIVR), 2003.
[32]. Smeulders A. W., Worring M., Santini S., Gupta A. and Jain
R., ―Content-Based Image Retrieval At The End of The Early
Years‖, IEEE Transactio on Pattern Analysis and Machine
Intelligence, Volume 22, Number 12, pp.1349–1380, 2000.
[33]. Chang S., Shi Q., and Yan C., ―Iconic Indexing By 2-D
Strings‖, IEEE Transactions on Pattern Analysis and Machine
Intelligence, Vol 9, No. 3, 413–427,1987
[34]. W. Equitz and W. Niblack, ―Retrieving Images From A
Database Using Texture—Alogrithms From The QBIC
System‖, Technical Report Rj 9805, Computer Science, IBM
Research Report, May 1994.
[35]. Csillaghy A., Hinterberger H., and Benz A., ―Content Based
Image Retrieval In Astronomy‖. Information Retrieval,
Volume 3, Number 3, pp.229–241, 2000.
[36]. Kherfi M. L., Ziou D., and Bernardi A., ―Image Retrieval
From The World Wide Web: Issues, Techniques, and
Systems‖, ACM Computing Surveys, Volume 36, Number 1,
pp.35–67, 2004.
R-5
[37]. Lew M., Sebe N., Djeraba C., and Jain R., ―Content-Based
Multimedia Information Retrieval: Stateof- The-Art and
Challenges‖, ACM Transaction Multimedia Computing and
Communication Applications, Volume 2, Number 1, pp. 1–
19, 2006.
[38]. Marsicoi M. D., Cinque L., and Levialdi S., ―Indexing Pictorial
Documents By Their Content: A Survey of Current
Techniques‖, Image Vision Computing, Volume 15, Number
2, pp. 119–141, 1997.
[39]. Muller H., Michoux N., Bandon D., and Geissbuhler A., ―A
Review of Content-Based Image Retrieval Systems In
Medical Applications—Clinical Benefits and Future
Directions‖, International Journal Medical Inf., Volume 73,
Number 1, pp.1–23, 2004.
[40]. Stian Edvardsen, ―Classification of Images using color, CBIR
Distance Measures and Genetic Programming‖, Ph.D. Thesis,
Master of science in Informatics, Norwegian university of
science and Technology, Department of computer and
Information science, June 2006.
[41]. Blei D. M. and Jordan M. I., ―Modeling Annotated Data‖, In
Proceedings of The Annual International ACM SIGIR
Conference on Research and Development In Information
Retrieval, 2003.
[42]. Chang E. Y., Goh K., Sychay G. and Wu G., ―CBSA: Content-
Based Soft Annotation For Multimodal Image Retrieval Using
Bayes Point Machines‖, IEEE Transactions Circuit Systems
Video Technology, Volume 13, Number 1, pp. 26–38, 2003.
[43]. Datta R., Joshi D., Li J. and Wang J. Z., ―Tagging Over Time:
Real-World Image Annotation By Lightweight Meta-
Learning‖, In Proceedings of The ACM International
Conference on Multimedia, 2007.
R-6
[44]. Jeon J., Lavrenko V., and Manmatha R., ―Automatic Image
Annotation and Retrieval Using Crossmedia Relevance
Models‖, In Proceedings of The Annual International ACM
SIGIR Conference on Research and Development In
Information Retrieval, 2003.
[45]. Jin Y., Khan L., Wang L. and Awad M., ―Image Annotations
By Combining Multiple Evidence and Wordnet‖, In
Proceedings of The ACM International Conference on
Multimedia, 2005.
[46]. Jing F., Li M., Zhang H. J. and Zhang B., ―A Unified
Framework For Image Retrieval Using Keyword and Visual
Features‖, IEEE Transaction Image Processing, Volume 14,
Number 7, pp.978–989, 2005.
[47]. Li J. and Wang J. Z., ―Real-Time Computerized Annotation of
Pictures‖, IEEE Transactio on Pattern Analysis and Machine
Intelligence, Volume 30, Number 6, pp. 985–1002, 2008.
[48]. Liu W. and Tang X., ―Learning An Image-Word Embedding
For Image Auto-Annotation on The Nonlinear Latent Space‖,
In Proceedings of The ACM International Conference on
Multimedia, 2005.
[49]. J. R. Smith, S.F. Chang, "Automated Image Retrieval Using
Color and Texture", Columbia University, Technical Report
(Cu/Ctr 408-95-14), July 1995.
[50]. Amores J., Sebe N., Radeva P., Gevers T., and Smeulders A.
―Boosting Contextual Information In Content-Based Image
Retrieval‖, In Proceedings of The 6th ACM Sigmm
International Workshop on Multimedia Information Retrieval
(Mir) At The International Multimedia Conference, 2004.
[51]. H.B.Kekre, Sudeep D. Thepade, ―Boosting Block Truncation
Coding using Kekre‘s LUV Color Space for Image Retrieval‖,
WASET International Journal of Electrical, Computer and
System Engineering (IJECSE), Volume 2, No.3, Summer
R-7
2008. Available online at www.waset.org/ijecse/v2/v2-3-
23.pdf
[52]. H.B.Kekre, Sudeep D. Thepade, ―Image Retrieval using
Augmented Block Truncation Coding Techniques‖, ACM
International Conference on Advances in Computing,
Communication and Control (ICAC3-2009), 23-24 Jan 2009,
Fr. Conceicao Rodrigous College of Engg., Mumbai. Is
uploaded and available online at ACM portal.
[53]. Muller H., Marchand-Maillet S., and Pun T., ―The Truth About
Corel—Evaluation In Image Retrieval‖, In Proceedings of The
International Conference on Video Retrieval (CIVR), Lecture
Notes In Computer Science, Vol. 2383. Springer, 36–45,
2002.
[54]. Shirahatti N. V. and Barnard K., ―Evaluating Image
Retrieval‖, In Proceedings of The IEEE International
Conference on Computer Vision and Pattern Recognition
(CVPR), 2005.
[55]. Smeaton A. F. and Over P., ―Benchmarking The
Effectiveness of Information Retrieval Tasks on Digital
Video‖, In Proceedings of The International Conference on
Video Retrieval (CIVR), 2003.
[56]. A. Bovik, ―Handbook of Image and Video Processing‖, 2nd
Edition, Elsevier Academic Press, 2005.
[57]. Guyon I. and Elisseeff A., ―An Introduction To Variable and
Feature Selection‖, Journal on Machine Learn. Res., Volume
3, pp.1157–1182, 2003.
[58]. W. Jiang, G. Er, Q. Dai and J. Gu, ―Similarity Based Online
Feature Selection In Content Based Image Retrieval‖, IEEE
Transactions on Image Processing, Volume 15, Number 3,
pp. 101-104, March 2006.
[59]. Li J. and Wang J. Z., ―Studying Digital Imagery of Ancient
Paintings By Mixtures of Stochastic Models‖, IEEE
R-8
Transaction on Image Processing, Volume 13, Number 3,
pp.340–353, 2004.
[60]. Berretti S., Bimbo A. D., and Vicario E., ―Efficient Matching
and Indexing of Graph Models In Contentbased Retrieval‖,
IEEE Transaction on Pattern Analysis Machine Intelligence,
Volume 23, Number 10, pp.1089–1105, 2001.
[61]. H.B.kekre, Sudeep D. Thepade, Akshay Maloo, ―Query by
Image Content Using Colour Averaging Techniques‖,
International Journal of Engineering Science and Technology
(IJEST), Volume 2, Issue 6, pp.1612-1622, 2010. Available
online at http://www.ijest.info.
[62]. W. Y. Ma, B. S. Manjunath, ―A Pattern Thesaurus For
Browsing Large Aerial Photographs‖, Technical Report 96-10,
University of California at Santa Barbara, 1996.
[63]. J.P. Eakins, K.J. Riley, and J.D. Edwards, ―Shape Feature
Matching for Trademark Image Retrieval,‖ Proc.
International Conf. on Image and Video Retrieval, vol. 2728,
pp. 28-37, Aug. 2003.
[64]. H.B.Kekre, Sudeep D. Thepade, Akshay Maloo, ―Face
Recognition using Texture Features Extracted from Haarlet
Pyramid‖, International Journal of Computer Applications
(IJCA), Volume 12, Number 5, December 2010, pp 41-45.
Available at www.ijcaonline.org.
[65]. H.B.Kekre, Tanuja Sarode, Sudeep D. Thepade, ―DCT
Applied to Row Mean and Column Vectors in Fingerprint
Identification‖, In Proceedings of International Conference
on Computer Networks and Security (ICCNS), 27-28 Sept.
2008, VIT, Pune.
[66]. De Silva V. and Tenenbaum J., ―Global Versus Local Methods
In Nonlinear Dimensionality Reduction‖, In Proceedings of
The Conference on Advances In Neural Information
Processing Systems (NIPS), 2003.
R-9
[67]. H.B.Kekre, Sudeep D. Thepade, Varun L., Ajoy J., C.
Nemani, Pooja L., ―Image Retrieval with Image Tile Energy
Averaging using Assorted Color Spaces‖, International
Journal of Computer Science and Information Security
(IJCSIS), Vol. 9 No. 3, March 2011,
http://sites.google.com/site/ijcsis/
[68]. H.B.Kekre, Sudeep D. Thepade, Varun L., Ajoy J., C.
Nemani, Pooja L. ―Performance Comparison of Block
Truncation Coding based Image Retrieval Techniques using
Assorted Color Spaces‖, International Journal of Computer
Science and Information Security (IJCSIS), Vol. 8 No. 9,
December 2010, pp. 292-297.
[69]. H.B.Kekre, Sudeep D. Thepade, Shrikant Sanas, ―Improving
Performance of multileveled BTC based CBIR using Sundry
Color Spaces‖, CSC International Journal of Image
Processing (IJIP), Vol 4, Issue 6, 2011 Computer Science
Journals, CSC Press, www.cscjournals.org
[70]. Haralick R., ―Statistical and Structural Approaches To
Texture‖, Proceedings of IEEE, Volume 67, Number 5, pp.
786–804, 1979.
[71]. T. Chang and C.C. J. Kuo, ―Texture Analysis and
Classification With Tree-Structured Wavelet Transform‖,
IEEE Transactions on Image Processing, Volume 2, Number
4, pp. 429–441, 1993.
[72]. M. K. Hu, ―Visual Pattern Recognition by Moment
Invariants‖, Computer Methods in Image Analysis, IRE
Transactions on Information Theory, Volume 8, 1962.
[73]. C M. Lybanon, S. Lea, and S. Himes, ―Segmentation of
Diverse Image Types Using Opening and Closing‖, In
Proceedings of IEEE International Conference on Image
Processing, 1994.
R-10
[74]. Y. Rui, A. C. She and T. S. Huang, ―Automated Shape
Segmentation Using Attraction-Based Grouping In Spatial-
Color-Texture Space‖, In Proceedings of IEEE International
Conference on Image Processing, 1996.
[75]. B. Li and S. D. Ma, ―On the Relation Between Region and
Contour Representation‖, In Proceedings of IEEE
International Conference on Image Processing, 1995.
[76]. X. Q. Li, Z. W. Zhao, H. D. Cheng, C. M. Huang and R. W.
Harris, ―A Fuzzy Logic Approach To Image Segmentation‖, In
Proceedings of IEEE International Conference on Image
Processing, 1994.
[77]. Y. Rui, A. C. She and T. S. Huang, ―Modified Fourier
Descriptors For Shape Representation—A Practical
Approach‖, In Proceedings of First International Workshop
on Image Databases and Multi Media Search, 1996.
[78]. Belongie S., Malik J. and Puzicha J., ―Shape Matching and
Object Recognition Using Shape Contexts‖, IEEE
Transactions Pattern Analysis and Machine Intelligence,
Volume 24, Number 4, pp. 509–522, 2002.
[79]. B. Ko and H. Byun, ―Integrated region-based image
retrieval using region‘s spatial relationships‖, In Proceedings
of the IEEE International Conference on Pattern Recognition
(ICPR), 2002.
[80]. Y. Rubner, C. Tomasi, L.J.Gubas, ― The earth mover‘s
distance as a metric for image retrieval‖, International
Journal of Computer Vision, Volume 40, pp.99–121, 2000.
[81]. C. L. Mallows, ―A note on asymptotic joint normality‖, Ann.
Mathematical Statistic,.Volume 43, Number 2, pp.508–515,
1972.
[82]. T. Hastie, R. Tibshirani, J. Friedman, ―The Elements of
Statistical Learning‖, Springer-Verlag, 2001
R-11
[83]. J. Li, J.Z.Wang, G. Wiederhold, ―IRM: Integrated region
matching for image retrieval‖, In Proceedings of the ACM
International Conference on Multimedia, 2000.
[84]. Do M. N., Vetterli M. ―Wavelet-Based Texture Retrieval Using
Generalized Gaussian Density and Kullback-Leibler
Distance‖, IEEE Transaction on Image Processing, Volume
11, Number 2, pp.146–158, 2002.
[85]. Saux B. L. and Boujemaa N., ―Unsupervised Robust
Clustering For Image Database Categorization‖, In
Proceedings of the International IEEE Conference on Pattern
Recognition (ICPR), 2002.
[86]. Iqbal Q., Aggarwal J. K., ―Retrieval by Classification of
Images Containing Large Manmade Objects Using Perceptual
Grouping‖, Pattern Recognition Journal, Volume 35, Number
7, pp.1463–1479, 2002.
[87]. Chen Y., Wang J. Z., Krovetz R., ―Clue: Cluster-Based
Retrieval of Images by Unsupervised Learning‖, IEEE
Transaction on Image Processing, Volume 14, Number 8,
pp.1187–1201, 2005.
[88]. Fergus R., Perona P., Zisserman A., ―Object Class
Recognition By Unsupervised Scale-Invariant Learning‖, In
Proceedings of The IEEE Conference on Computer Vision and
Pattern Recognition (CVPR), 2003.
[89]. Gordon S., Greenspan H. and Goldberger J., ―Applying the
Information Bottleneck Principle to Unsupervised Clustering
of Discrete and Continuous Image Representations‖, In
Proceedings of the IEEE International Conference on
Computer Vision (ICCV), 2003.
[90]. Chen Y., Wang J. Z., ―Image Categorization By Learning and
Reasoning With Regions‖, Journal of Machine Learning Res.,
Volume 5, pp.913–939, 2004.
R-12
[91]. Fergus R., Perona P., Zisserman A., ―A Sparse Object
Category Model For Efficient Learning and Exhaustive
Recognition‖, In Proceedings of the IEEE Conference on
Computer Vision and Pattern Recognition (CVPR), 2005.
[92]. Cai D., He X., Li Z., Ma W. Y. and Wen J. R., ―Hierarchical
Clustering of www Image Search Results Using Visual,
Textual and Link Information‖, In Proceedings of The ACM
International Conference on Multimedia, 2004.
[93]. Jing F., Wang C., Yao Y., Deng K., Zhang L. and Ma W. Y.,
―Igroup: Web Image Search Results Clustering‖, In
Proceedings of The ACM International Conference on
Multimedia, 2006.
[94]. Li J., Najmi A., Gray R. M., ―Image Classification by a Two
Dimensional Hidden Markov Model‖, IEEE Transaction on
Signal Processing, Volume 48, Num. 2, pp.527–533, 2000.
[95]. Vailaya A., Figueired M. A. T., Jain A. K., Zhang H.-J.,
―Image Classification For Content-Based Indexing‖, IEEE
Transaction on Image Processing, Volume 10, Number 1,
pp.117–130, 2001.
[96]. T. Ng, S. F. Chang, J. Hsu, L. Xie, M. P. Tsui, ―Physics-
Motivated features for distinguishing photographic images
and computer graphics‖, In Proceedings of the ACM
International Conference on Multimedia. 2005.
[97]. Su Z., Zhang H.J., Li S., Ma S., ―Relevance Feedback In
Content-Based Image Retrieval: Bayesian Framework,
Feature Subspaces, and Progressive Learning‖, IEEE
Transaction on Image Processing, Volume 12, Number 8, pp.
924–937, 2003.
[98]. Vasconcelos N., Lippman A., ―Learning From User Feedback
In Image Retrieval Systems‖, In Proceedings of The
Conference on Advances In Neural Information Processing
Systems (NIPS), 2000.
R-13
[99]. Yang C., Dong M., Fotouhi F., ―Semantic Feedback For
Interactive Image Retrieval‖, In Proceedings of The ACM
International Conference on Multimedia, 2005.
[100]. Y. Rui, T. S. Huang, S. Mehrotra, ―Content-Based Image
Retrieval With Relevance Feedback In Mars‖, In Proc. IEEE
Int. Conf. on Image Proc., 1997.
[101]. Hoi C.H., Lyu M. R., ―Group-Based Relevance Feedback With
Support Vector Machine Ensembles‖, In Proceedings of IEEE
International Conference on Pattern Recognition (ICPR),
2004.
[102]. Jing F., Li M., Zhang H.J., Zhang B., ―Relevance Feedback In
Region-Based Image Retrieval‖, IEEE Transaction Circuit
System and Video Technology, Volume 14, Number 5,
pp.672–681, 2004.
[103]. Wu P. and Manjunath B. S., ―Adaptive Nearest Neighbor
Search for Relevance Feedback In Large Image Databases‖,
In Proceedings of The ACM International Conference on
Multimedia, 2001.
[104]. Muller H., Pun T., Squire D., ―Learning From User Behavior
In Image Retrieval: Application of Market Basket Analysis‖,
International Journal on Computer Vision, Volume 56, Issue
1–2, pp. 65–77, 2004.
[105]. Y. Rui, T. S. Huang, S. Mehrotra, M. Ortega, ―Automatic
Matching Tool Selection Using Relevance Feedback In Mars‖,
In Proc. of 2nd Int. Conf. on Visual Information Systems,
1997.
[106]. Choi Y., Rasmussen E. M., ―User‘s Relevance Criteria In
Image Retrieval‖, In American History. Information
Processing Manage. Volume 38, Number 5, pp.695–726,
2002.
R-14
[107]. Li J., ―Two-Scale Image Retrieval With Significant Meta-
Information Feedback‖, In Proceedings of The ACM
International Conference on Multimedia, 2005.
[108]. Y. Rui, T. S. Huang, S. Mehrotra, and M. Ortega, ―A
Relevance Feedback Architecture In Content-Based
Multimedia Information Retrieval Systems‖, In Proc. of IEEE
Workshop on Content-Based Access of Image and Video
Libraries, In Conjunction With IEEE Cvpr‘97, 1997.
[109]. Y. Rui, T. S. Huang, M. Ortega, S. Mehrotra, ―Relevance
Feedback: A Power Tool In Interactive Content based Image
Retrieval‖, IEEE Trans. on Circuits Systems Video
Technology (Special Issue on Interactive Multi-Media
Systems For The Internet), Sept. 1998.
[110]. Lu Y., Hu C., Zhu X., Zhang H. and Yang Q. ―A Unified
Framework For Semantics and Feature Based Relevance
Feedback In Image Retrieval Systems‖, In Proceedings of
The ACM International Conference on Multimedia, 2000.
[111]. Bohm C., Berchtold S., Keim D. A., ―Searching In High-
Dimensional Space Index Structures For Improving The
Performance of Multimedia Databases‖. ACM Computer
Survey, Vol.33, No.3, pp.322–373. 2001.
[112]. Li J., Sun H.H., ―On Interactive Browsing of Large Images‖,
IEEE Transaction on Multimedia, Volume 5, Number 4,
pp.581–590, 2003.
[113]. Wang J. Z., Boujemaa N., Del Bimbo A., Geman D.,
Hauptmann A. and Tesic J., ―Diversity In Multimedia
Information Retrieval Research‖, In Proceedings of The ACM
Sigmm International Workshop on Multimedia Information
Retrieval (MIR) at The International Conference on
Multimedia, 2006.
[114]. Wang X. J., Ma W. Y., Xue G. R., Li X., ―Multi-Model
Similarity Propagation and Its Application For Web Image
R-15
Retrieval‖, In Proceedings of The ACM International
Conference on Multimedia, 2004.
[115]. Wu Y., Chang E. Y., Chang K. C. C., Smith J. R., ―Optimal
Multimodal Fusion For Multimedia Data Analysis‖, In
Proceedings of The ACM International Conference on
Multimedia, 2004.
[116]. Natsev A., Naphade M. R., Tesic J., ―Learning the Semantics
of Multimedia Queries and Concepts from A Small Number of
Examples‖, In Proceedings of the ACM International
Conference on Multimedia, 2005.
[117]. Kaster T., Pfeiffer M., Bauckhage C., ―Combining Speech and
Haptics For Intuitive and Efficient Navigation Through Image
Databases‖, In Proceedings of The 5th International
Conference on Multimidia Interfaces (ICMI), 2003.
[118]. Zhou X. S. and Huang T. S., ―Unifying Keywords and Visual
Contents In Image Retrieval‖, IEEE Transaction on
Multimedia, Volume 9, Number 2, pp.23–33, 2002.
[119]. Snoek C. G. M., Worring M., ―Multimodal Video Indexing: A
Review of the State-Of-The-Art‖, Multimedia Tools and
Applications, Volume 25, Number 1, pp. 5–35, 2005.
[120]. Velivelli A., Ngo C.W., Huang T. S., ―Detection of
Documentary Scene Changes By Audio-Visual Fusion‖, In
Proceedings of The International Conference on Video
Retrieval (CIVR), 2004.
[121]. Vetro A., Christopoulos C., Sun H., ―Video Transcoding
Architectures and Techniques: An Overview‖, IEEE Signal
Processing Magazine, Volume 20, Number 2, pp.18–29,
2003.
[122]. Datta R., Ge W., Li J., Wang J. Z., ―Toward Bridging The
Annotation-Retrieval Gap in Image Search‖, IEEE
Multimedia, Volume 14, Number 3, pp.24–35, 2007.
R-16
[123]. Wang J., Li J., Wiederhold G., ―Simplicity: Semantics-
Sensitive Integrated Matching For Picture Libraries‖, IEEE
Transaction on Pattern Analysis and Machine Intelligence,
Volume 23, Number 9, pp.947–963, 2001.
[124]. Cunningham S. J., Bainbridge D. and Masoodian M., ―How
People Describe Their Image Information Needs: A
Grounded Theory Analysis of Visual Arts Queries‖, In
Proceedings of The ACM/IEEE-Cs Joint Conference on Digital
Libraries (JCDL), 2004.
[125]. Joshi D., Wang J. Z., Li J., ―The Story Picturing Engine—A
System For Automatic Text Illustration‖, ACM Transaction on
Multimedia Computing and Communication Applications,
Volume 2, Number 1, pp.68–89, 2006.
[126]. Lin Y.Y., Liu T.L., Chen H.T., ―Semantic Manifold Learning
For Image Retrieval‖, In Proceedings of The ACM
International Conference on Multimedia, 2005.
[127]. Bertini M., Cucchiara R., Del Bimbo A., Prati A., ―Object and
Event Detection For Semantic Annotation and Transcoding‖,
In Proceedings of The IEEE International Conference on
Multimedia and Expo (ICME), 2003.
[128]. Cucchiara R., Grana. C., Prati A., ―Semantic Video
Transcoding Using Classes of Relevance‖, International
Journal of Image Graphics, Volume 3, Number 1, pp. 145–
170, 2003.
[129]. Li B., Goh K.S., Chang E. Y., ―Confidence-Based Dynamic
Ensemble For Image Annotation and Semantics Discovery‖,
In Proceedings of The ACM International Conference on
Multimedia, 2003.
[130]. http://wang.ist.psu.edu/docs/related/Image.orig (Last
referred on 23 Sept 2008)
[131]. Swain M., Ballard B., ―Color Indexing‖, International Journal
of Computer Vision, Volume 7, Number 1, pp.11–32, 1991.
R-17
[132]. M. Ioka, ―A Method of Defining The Similarity of Images on
the Basis of Color Information‖, Technical Report RT-0030,
IBM Research, Tokyo Research Laboratory, Nov. 1989.
[133]. Deng Y., Manjunath B. S., Kenney C., Moore M. S. and Shin
H., ―An Efficient Color Representation For Image Retrieval‖,
IEEE Transaction on Image Processing, Volume 10, Number
1, pp.140–147, 2001.
[134]. H.B.Kekre, Sudeep D. Thepade, Varun L., Pooja L., Ajoy J.,
C. Nemani ―Augmentation of Block Truncation Coding based
Image Retrieval by using Even and Odd Images with Sundry
Colour Spaces‖, International Journal of Computer Science
and Engineering (IJCSE), October 2010 Edition.
http://www.enggjournals.com/ijcse
[135]. J. Wang, W.J. Yang, R. Acharya, ―Color Clustering
Techniques For Color-Content-Based Image Retrieval From
Image Databases‖, In Proceedings of IEEE Conference on
Multimedia Computing and Systems, 1997.
[136]. Hadjidemetriou E., Grossberg M. D. and Nayar S. K.,
―Multiresolution Histograms and Their Use For Recognition‖,
IEEE Transaction on Pattern Analysis and Machine
Intelligence, Volume 26, Number 7, pp. 831–847, 2004.
[137]. Pi M., Mandal M. K. and Basu A., ―Image Retrieval Based on
Histogram of Fractal Parameters‖, IEEE Transaction on
Multimedia, Volume 7, Number 4, pp. 597–605, 2005.
[138]. R. Rickman, J. Stonham, ―Content-Based Image Retrieval
Using Colour Tuple Histograms‖, In Proceedings of SPIE
Storage and Retrieval For Image and Video Databases,
1996.
[139]. J. Han, K. Ma, ―Fuzzy Color Histogram and Its Use In Color
Image Retrieval‖, IEEE Trans. on Image Processing, Volume
11, pp. 944 – 952, Aug. 2002.
R-18
[140]. P Liu, K. Jia, Z. Wang, Z. Lv, ―A New and Effective Image
Retrieval Method Based on Combined Features‖, Proc. IEEE
Int. Conf. on Image and Graphics, Volume I, pp. 786-790,
August 2007.
[141]. J. Huang, S. R. Kumar, M. Mitra and W. J. Zhu, R. Zabih,
―Image Indexing Using Color Correlograms‖, Proceedings of
IEEE Conference on Computer Vision and Pattern
Recognition, pp. 762 – 768, June 1997.
[142]. J. Huang, S. Kumar, M. Mitra, W.-J. Zhu and R. Zabih,
―Image Indexing Using Color Correlogram‖, In Proceedings
of IEEE Conference on Computer Vision and Pattern
Recognition, 1997.
[143]. H.B.Kekre, Sudeep D. Thepade, Akshay Maloo, ―Image tiling
to improve performance of image retrieval using color
averaging techniques‖, International Journal of Computer
Applications (IJCA) for the special edition on ―Computer
Aided Soft Computing Techniques for Imaging and
Biomedical Applications‖, Number 2, Article 1, August
2010.www.ijcaonline.org/specialissues/casct/number2/
[144]. H.B.Kekre, Sudeep D. Thepade, Varun Banura, ―Amelioration
of Colour Averaging Based Image Retrieval Techniques using
Even and Odd parts of Images‖, International Journal of
Engineering Science and Technology (IJEST), Volume 2,
Issue 9, Sept. 2010. Available online at
http://www.ijest.info.
[145]. H.B.Kekre, Sudeep D. Thepade, Varun Banura,
―Augmentation of Colour Averaging Based Image Retrieval
Techniques using Even part of Images and Amalgamation of
feature vectors‖ International Journal of Engineering Science
and Technology (IJEST), Volume 2 Issue 10, October 2010.
[146]. H.B.Kekre, Sudeep D. Thepade, ―Using YUV Color Space to
Hoist the Performance of Block Truncation Coding for Image
R-19
Retrieval‖, IEEE International Advanced Computing
Conference 2009 (IACC‘09), Thapar University, Patiala,
INDIA, 6-7 March 2009.
[147]. H.B.Kekre, Sudeep D. Thepade, ―Color Based Image
Retrieval using Amendment Block Truncation Coding with
YCbCr Color Space‖, International Journal on Imaging (IJI),
Volume 2, Number A09, Autumn 2009, pp. 2-14. Available
online at www.ceser.res.in/iji.html.
[148]. H.B.Kekre, Sudeep D. Thepade, Shrikant Sanas, ―Improved
CBIR using Multileveled Block Truncation Coding‖,
International Journal of Computer Science and Engineering
(IJCSE), Volume 2, Number 7, October 2010 Edition,
pp2471-2476. http://www.enggjournals.com/ijcse
[149]. H.B.Kekre, Sudeep D. Thepade, ―Improving the Performance
of Image Retrieval using Partial Coefficients of Transformed
Image‖, International Journal of Information Retrieval,
Serials Publications, Volume 2, Issue 1, pp. 72-79, 2009.
[150]. H.B.Kekre, Sudeep D. Thepade, Akshay Maloo, ―Performance
Comparison of Image Retrieval Using Fractional Coefficients
of Transformed Image Using DCT, Walsh, Haar and Kekre‘s
Transform‖, CSC International Journal of Image Processing
(IJIP), Volume 4, Issue 2, pp 142-157, Computer Science
Journals, CSC Press, www.cscjournals.org
[151]. H.B.Kekre, Sudeep D. Thepade, Akshay Maloo, ―Image
Retrieval using Fractional Coefficients of Transformed Image
using DCT and Walsh Transform‖, International Journal of
Engineering Science and Technology (IJEST), Volume 2,
Number 4, 2010, pp.362-371. Available online at
www.ijest.info/docs/IJEST10-02-04-05.pdf
[152]. H.B.Kekre, Sudeep D. Thepade, Akshay Maloo, ―Performance
Comparison of Image Retrieval using Row Mean of
Transformed Column Image‖, International Journal on
R-20
Computer Science and Engineering (IJCSE), Volume 2, Issue
5, August 2010, pp.959-964, Available online at
www.enggjournals.com/ijcse/doc/IJCSE10-02-05-54.pdf
[153]. H.B.Kekre, Sudeep D. Thepade, Akshay Maloo, ―Image
Retrieval using Row Means of Column Transformed Even and
Odd Parts of Image with Walsh, Haar and Kekre
Transforms‖, International Journal of Computer Science and
Information Security (IJCSIS), Volume 8, Number 5, August
2010.
[154]. H.B.Kekre, Sudeep D. Thepade, Archana Athawale, Anant S.,
Prathamesh V., Suraj S., ―Kekre Transform over Row Mean,
Column Mean and Both using Image Tiling for Image
Retrieval‖, International Journal of Computer and Electrical
Engineering (IJCEE), Volume 2, Number 6, October 2010, pp
964-971, is available at www.ijcee.org/papers/260-E272.pdf
[155]. H.B.Kekre, Sudeep D. Thepade, Archana Athawale, Anant S.,
Prathamesh V., Suraj S., ―Energy Compaction and Image
Splitting for Image Retrieval using Kekre Transform over
Row and Column Feature Vectors‖, International Journal of
Computer Science and Network Security (IJCSNS),
Volume:10, Number 1, January 2010, Available at
www.IJCSNS.org.
[156]. H.B.Kekre, Sudeep D. Thepade, Archana Athawale, Anant S.,
Prathamesh V., Suraj S., ―Walsh Transform over Row Mean
and Column Mean using Image Fragmentation and Energy
Compaction for Image Retrieval‖, International Journal on
Computer Science and Engineering (IJCSE), Volume 2S,
Issue1, January 2010. Available online at
www.enggjournals.com/ijcse.
[157]. H.B.Kekre, Sudeep D. Thepade, Archana Athawale, Anant S.,
Prathamesh V., Suraj S., ―Performance Evaluation of Image
Retrieval using Energy Compaction and Image Tiling over
R-21
DCT Row Mean and DCT Column Mean‖, Springer-
International Conference on Contours of Computing
Technology (Thinkquest-2010), Babasaheb Gawde Institute
of Technology, Mumbai, 13-14 March 2010.
[158]. H.B.Kekre, Sudeep D. Thepade, Akshay Maloo, ―CBIR
Feature Vector Dimension Reduction with Eigenvectors of
Covariance Matrix using Row, Column and Diagonal Mean
Sequences‖, International Journal of Computer Applications
(IJCA), Volume 3, Number 12, pp.786-1114, July 2010.
www.ijcaonline.org/archives/volume3/number12/786-1114
[159]. H.B.Kekre, Sudeep D. Thepade, ―Image Retrieval using Non-
Involutional Orthogonal Kekre‘s Transform‖, International
Journal of Multidisciplinary Research and Advances in
Engineering (IJMRAE), Ascent Publication House, 2009,
Volume 1, No.I, pp 189-203, 2009. Abstract available online
at www.ascent-journals.com
[160]. K. Fukunaga, ―Introduction to Statistical Pattern
Recognition‖, 2nd ed. New York: Academic, 1990.
[161]. Manjunath B., Ma W.Y., ―Texture Features For Browsing and
Retrieval of Image Data‖, IEEE Transaction on Pattern
Analysis Machine Intelligence, Volume 18, Number 8, pp.
837–842, 1996.
[162]. W. Y. Ma, B. S. Manjunath, ―Texture Features and Learning
Similarity‖, In Proceedings of IEEE Conference on Computer
Vision and Pattern Recognition, pp.425–430, 1996.
[163]. B. S. Manjunath, W.Y. Ma, ―Texture Features For Browsing
and Retrieval of Image Data‖, Technical Report 95-06,
University of California at Santa Barbara, 1995.
[164]. H. Tamura, S. Mori, T. Yamawaki, ―Texture Features
Corresponding to Visual Perception‖, IEEE Transaction on
Sys., Man. and Cyb. (SMC), Volume 8, Number 6, 1978.
R-22
[165]. N. R. Howe, D. P. Huttenlocher, ―Integrating Color, Texture
and Geometry for Image Retrieval‖, Proceedings of IEEE
Conference on Computer Vision and Pattern Recognition,
Volume II, pp. 239-246, June 2000.
[166]. H.B.kekre, V.A.Bharadi, Sudeep D. Thepade, B.K.Mishra,
S.E.Ghosalkar, S.M.Sawant, ―Content Based Image Retrieval
using Fusion of Gabor Magnitude and Modified Block
Truncation Coding‖, IEEE–International Conference on
Emerging Trends in Engineering and Technology, ICETET-
2010, 19-21 November 2010, BITs Goa. uploaded and
available online at IEEE Xplore.
[167]. S. Oraintara, T. T. Nguyen, ―Using Phase and Magnitude
Information of The Complex Directional Filter Bank For
Texture Image Retrieval‖, Proceedings of IEEE International
Conference on Image Processing, Volume 4, pp. 61-64, Oct.
2007.
[168]. J. Malik, P. Persona, "Preattentive texture discrimination
with early vision mechanisms‖, Journal of Optical Society of
America, Volume A7, Number 5, pp.923–932, 1990.
[169]. W. Y. Ma, B. S. Manjunath, ―A Comparison of Wavelet
Transform Features For Texture Image Annotation‖, In
Proceedings of IEEE International Conference on Image
Processing, 1995.
[170]. A. Laine, J. Fan, ―Texture Classification By Wavelet Packet
Signatures‖, IEEE Transaction on Pattern Recognition and
Machine Intelligence, Volume 15, Number 11, pp.1186–
1191, 1993.
[171]. K. S. Thyagarajan, T. Nguyen and C. Persons, ―A Maximum
Likelihood Aproach to Texture Classification Using Wavelet
Transform‖, In Proceedings of IEEE International Conference
on Image Processing, 1994.
R-23
[172]. Li J., Gray R. M., Olshen R. A., ―Multiresolution Image
Classification By Hierarchical Modelling With Two
Dimensional Hidden Markov Models‖, IEEE Transaction on
Information Theory, Volume 46, Number 5, pp.1826–1841,
2000.
[173]. Portilla J., Simoncelli E., ―A Parametric Texture Model Based
on Joint Statistics of Complex Wavelet Coefficients‖,
International Journal of Computer Vision, Volume 40,
Number 1, pp. 49–71, 2000.
[174]. B. S. Manjunath, J. R. Ohm, V. V. Vasudevan, A. Yamda,
―Color and texture descriptors‖, IEEE Transaction on Circuit,
System and Video Technology, Volume 11, Number 6, pp.
703–715, 2001.
[175]. A.K.Jain, F. Farrokhnia, ―Unsupervised texture segmentation
using Gabor filters. Proceedings of the International
Conference on Systems, Man and Cybernetics., 1990
[176]. F. Schaffalitzky, A. Zisserman, ―Viewpoint invariant texture
matching and wide baseline stereo‖, In Proceedings of the
IEEE International Conference on Computer Vision (ICCV),
2001.
[177]. K. Mikolajczyk, C. Schmid, ―Scale and affine invariant
interest point detectors. International Journal of Computer
Vision, Volume 60, Number 1, pp. 63–86, 2004.
[178]. Tian Q., Sebe N., Lew M. S., Loupias E., and Huang T. S.,
―Image Retrieval Using Wavelet-Based Salient Points‖,
Journal Electronic Imaging, Volume 10, Number 4, pp. 835–
849, 2001.
[179]. Wang J., Wiederhold G., Firschein O. and Wei S., ―Content-
Based Image Indexing and Searching Using Daubechies‘
Wavelets‖, International Journal of Digital Libraries, Volume
1, Number 4, pp.311–328, 1998.
R-24
[180]. H.B.Kekre, Sudeep D. Thepade, Akshay Maloo, ―Performance
Comparison of Image Retrieval Techniques using Wavelet
Pyramids of Walsh, Haar and Kekre Transforms‖,
International Journal of Computer Applications (IJCA)
Volume 4, Number 10, August 2010 Edition, pp 1-8,
www.ijcaonline.org/archives/volume4/number10/866-1216
[181]. H.B.Kekre, Sudeep D. Thepade, Akshay Maloo, ―Query by
image content using color texture features extracted from
Haar wavelet pyramid‖, International Journal of Computer
Applications (IJCA) for the special edition on ―Computer
Aided Soft Computing Techniques for Imaging and
Biomedical Applications‖, Number 2, Article 2, August 2010.
www.ijcaonline.org/specialissues/casct/number2/1006-41
[182]. H.B.Kekre, Sudeep D. Thepade, ―Image Retrieval using
Color-Texture Features Extracted from Walshlet Pyramid‖,
ICGST International Journal on Graphics, Vision and Image
Processing (GVIP), Volume 10, Issue I, Feb.2010, pp.9-18,
www.icgst.com/gvip/Volume10/Issue1/P1150938876.html
[183]. R. M. Gray, ―Vector quantization‖, IEEE ASSP Mag., pp.: 4-
29, Apr. 1984.
[184]. Y. Linde, A. Buzo, and R. M. Gray, ―An algorithm for vector
quantizer design,‖ IEEE Trans.Commun., vol. COM-28, no. 1,
pp.: 84-95, 1980.
[185]. H.B.Kekre, Tanuja Sarode, Sudeep D. Thepade, Vaishali S.,
―Image Retrieval using Texture Features extracted from
GLCM, LBG and KPE―, International Journal of Computer
Theory and Engineering (IJCTE), Volume 2, Number 5, Oct
2010. www.ijcte.org/papers/227-G310.pdf
[186]. H. B. Kekre, Tanuja K. Sarode ―New Clustering Algorithm
for Vector Quantization using Rotation of Error Vector‖,
International Journal of Computer Science and Information
Security, Vol. 7, No. 03, 2010, USA.
R-25
[187]. H. B. Kekre, Tanuja K. Sarode , ―2-level Vector Quantization
Method for Codebook Design using Kekre‘s Median Codebook
Generation Algorithm‖, Advances in Computational Sciences
and Technology (ACST), ISSN 0973-6107, vol. 2, no. 2,
pp.:167–178, 2009. Available online at.
http://www.ripublication.com/Volume/acstv2n2.htm.
[188]. H.B.Kekre, Tanuja Sarode, Sudeep D. Thepade, ―Color-
Texture Feature based Image Retrieval using DCT applied on
Kekre‘s Median Codebook‖, International Journal on Imaging
(IJI), Volume 2, Number A09, Autumn 2009,pp. 55-65.
Available online at www.ceser.res.in/iji.html
[189]. H. B. Kekre, Tanuja K. Sarode, ―New Fast Improved
Codebook Generation Algorithm for Color Images using
Vector Quantization,‖ International Journal of Engineering
and Technology, vol.1, No.1, pp.: 67-77, September 2008.
[190]. H. B. Kekre, Tanuja K. Sarode, Sudeep D. Thepade , Pallavi
H. ―Kekre‘s Fast Codebook Generation in VQ with Various
Color Spaces for Colorization of grayscale Images‖,
Springer-International Conference on Contours of Computing
Technology (Thinkquest-2010), Babasaheb Gawde Institute
of Technology, Mumbai, 13-14 March 2010, The paper will
be uploaded on online Springerlink.
[191]. H. B. Kekre, Tanuja K. Sarode, Sudeep D. Thepade, Shrikant
Sanas, ―Image Retrieval using Texture Features Extracted as
Vector Quantization Codebooks Generated using LBG and
Kekre Error Vector Rotation Algorithm‖, Springer
International Conference on Technology Systems and
Management (ICTSM-2011), D.J. Sanghavi COE and Mukesh
Patel School of Tech. Mgmt. and Engineering, 25-27 Feb
2011, The paper will be available online at Springerlink.
[192]. H. B. Kekre, Tanuja K. Sarode, Sudeep D. Thepade, ―Image
Retrieval using Color-Texture Features from DCT on VQ
R-26
Codevectors obtained by Kekre‘s Fast Codebook
Generation‖, ICGST International Journal on Graphics, Vision
and Image Processing (GVIP), Volume 9, Issue V, Sept.
2009, pp. 1-8, Available online at
www.icgst.com/gvip/Volume9/Issue5/P1150921752.html.
[193]. H. B. Kekre, Tanuja K. Sarode, Sudeep D. Thepade, Vaishali
S., ―Improved Texture Feature Based Image Retrieval using
Kekre‘s Fast Codebook Generation Algorithm‖, Springer-
International Conference on Contours of Computing
Technology (Thinkquest-2010), Babasaheb Gawde Institute
of Technology, Mumbai, 13-14 March 2010, This paper has
received Best Paper Award.
[194]. H. B. Kekre, Tanuja K. Sarode, Sudeep D. Thepade, ―Image
Retrieval by Kekre‘s Transform Applied on Each Row of
Walsh Transformed VQ Codebook‖, ACM-International
Conference and Workshop on Emerging Trends in
Technology (ICWET 2010),Thakur College of Engg. And
Tech., Mumbai, 26-27 Feb 2010, The paper was invited at
ICWET 2010. Also is uploaded on online ACM Portal.
[195]. H. B. Kekre, Tanuja K. Sarode, Sudeep D. Thepade, Vaishali
S., ―Image Retrieval with Texture Features Extracted using
Kekre‘s Median Codebook Generation of Vector
Quantization‖, International Journal of Computer Science
and Information Security (IJCSIS), Volume 8 Number 4, July
2010, pp.244-251. http://sites.google.com/site/ijcsis/
[196]. H. B. Kekre, Sudeep D. Thepade, Varun Banura,
―Amelioration of Walsh-Hadamard Texture Patterns based
Image Retrieval using HSV Color Space‖, International
Journal of Computer Science and Information Security
(IJCSIS), Vol. 9 No. 3, March 2011.
http://sites.google.com/site/ijcsis/
R-27
[197]. H. B. Kekre, Sudeep D. Thepade, Varun Banura,
―Performance Comparison of Texture Pattern based Image
Retrieval using Haar Transform with Binary and Ternary
Image Maps‖, International Journal of Computer Applications
(IJCA), Number 3, Article 5, March 2011,
www.ijcaonline.org/proceedings/icwet/number3/2077-
aca533
[198]. H. B. Kekre, Sudeep D. Thepade, Varun Banura, ―Image
Retrieval using Texture Patterns generated from Walsh-
Hadamard Transform Matrix and Image Bitmaps‖, Springer
International Conference on Technology Systems and
Management (ICTSM-2011), D.J. Sanghavi COE and Mukesh
Patel School of Tech. Mgmt. and Engineering, 25-27 Feb
2011, The paper will be available online at Springerlink
[199]. H. B. Kekre, Sudeep D. Thepade, Varun Banura, ―Query by
Image Texture Pattern content using Haar Transform Matrix
and Image Bitmaps‖, Invited at ACM-International
Conference and Workshop on Emerging Trends in
Technology (ICWET 2011),Thakur College of Engg. And
Tech., Mumbai, 26-27 Feb 2011, The paper is invited at
ICWET 2011. Also will be uploaded on online ACM Portal.
[200]. H. B. Kekre, Sudeep D. Thepade, Varun Banura,
―Performance Comparison of Texture Pattern Based Image
Retrieval Methods using Walsh, Haar and Kekre Transforms
with Assorted Thresholding Methods‖, International Journal
of Computer Science and Information Security (IJCSIS), Vol.
9 No. 3, March 2011. http://sites.google.com/site/ijcsis/
[201]. Zhu S.C., Yuille A., ―Region Competition: Unifying Snakes,
Region Growing, and Bayes/Mdl For Multiband Image
Segmentation‖, IEEE Transaction on Pattern Analysis and
Machine Intelligence, Volume 18, Number 9, pp.884–900,
1996.
R-28
[202]. I. Wallace, O. Mitchell, ―Three-Dimensional Shape Analysis
Using Local Shape Descriptors‖, IEEE Transaction on Pattern
Recognition and Machine Intelligence, Volume 3, Number 3,
May 1981.
[203]. I. Wallace, P. Wintz, ―An Efficient Three-Dimensional Aircraft
Recognition Algorithm Using Normalized Fourier
Descriptors‖, Computer Graphics and Image Processing,
Volume 13, 1980.
[204]. Bartolini I., Ciaccia P. and Patella M., ―Warp: Accurate
Retrieval of Shapes Using Phase of Fourier Descriptors and
Time Warping Distance‖, IEEE Transaction on Pattern
Analysis and Machine Intelligence, Volume 27, Number 1,
pp.142–147, 2005
[205]. Latecki L. J. and Lakamper R., ―Shape Similarity Measure
Based on Correspondence of Visual Parts‖, IEEE Transaction
on Pattern Analysis Machine Intelligence, Volume 22,
Number 10, pp. 1185–1190, 2000.
[206]. Mehrotra R. and Gary J. E., ―Similar-Shape Retrieval In
Shape Data Management‖, IEEE Computer, Volume 28,
Number 9, pp.57–62, 1995.
[207]. Torres R. S., Silva C. G., Medeiros C. B. and Rocha H. V.,
―Visual Structures For Image Browsing‖, In Proceedings of
the ACM International Conference on Information and
Knowledge Management (CIKM), 2003.
[208]. H.B.Kekre, Sudeep D. Thepade, Shobhit W., S. Singh, Miti
K., Priyadarshini M., ―Image Retrieval with Shape Features
Extracted using Gradient Operators and Slope Magnitude
Technique with BTC‖, International Journal of Computer
Applications (IJCA), Volume 6, Number 8, pp.28-33,
September 2010. Available at
www.ijcaonline.org/volume6/number8/pxc3871430.pdf
R-29
[209]. Berretti S., Del Bimbo A. and Pala P., ―Retrieval By Shape
Similarity With Perceptual Distance and Effective Indexing‖,
IEEE Transaction on Multimedia, Volume 2, Number 4,
pp.225–239, 2000.
[210]. E. G. M. Petrakis, A. Diplaros, E. Milios, ‖Matching and
retrieval of distorted and occluded shapes using dynamic
programming‖, IEEE Transaction on Pattern Analysis and
Machine Intelligence, Volume 24, Number 4, pp.509–522,
2002.
[211]. P. Ciaccia, M. Patella, P. Zezula, ―M-Tree: An efficient access
method for similarity search in metric spaces‖, In
Proceedings of the International Conference on Very Large
Databases (VLDB), 1997
[212]. H.B.Kekre, Sudeep D. Thepade, Shobhit W., S. Singh, Miti
K., Priyadarshini M., ―Image Retrieval with Shape Features
Extracted using Morphological Operators with BTC‖,
International Journal of Computer Applications (IJCA),
Volume 12, Number 3, December 2010, pp1-5. (Selected as
Editors choice) Available at
www.ijcaonline.org/archives/volume12/number3
[213]. H.B.Kekre, Sudeep D. Thepade, Shobhit W., S. Singh, Miti
K., Priyadarshini M., ―Improved Shape Content Based Image
Retrieval Using Multilevel Block Truncation Coding‖,
International Journal of Computer Science and Information
Security (IJCSIS), Vol. 9 No. 2, February 2011,
http://sites.google.com/site/ijcsis/
[214]. H.B.Kekre, Sudeep D. Thepade, Shobhit W., S. Singh, Miti
K., Priyadarshini M., ―Edge Texture Based CBIR using Row
Mean of Transformed Column Gradient Image‖, International
Journal of Computer Applications (IJCA), Oct. 2010 Issue,
http://www.ijcaonline.org/archives/volume7/number10/
R-30
[215]. H.B.Kekre, Sudeep D. Thepade, Shobhit W., S. Singh, Miti
K., Priyadarshini M., ―Image Retrieval using Shape Texture
Content as Row Mean of Transformed Columns of
Morphological Edge Images‖, International Journal of
Computer Science and Information Technology (IJCSIT),
March 2011 www.ijcsit.com
[216]. H.B.Kekre, Sudeep D. Thepade, Varun Banura, ―Image
Retrieval using Shape Texture Patterns generated from
Walsh-Hadamard Transform and Gradient Image Bitmap‖,
International Journal of Computer Science and Information
Security (IJCSIS), Vol. 8 No. 9, December 2010, pp.76-82.
[217]. H.B.Kekre, Sudeep D. Thepade, Archana Athawale, Anant S.,
Prathamesh V., Suraj S., ―Image Retrieval using DCT on
Row Mean, Column Mean and Both with Image
Fragmentation‖, ACM-International Conference and
Workshop on Emerging Trends in Technology (ICWET
2010),Thakur College of Engg. And Tech., Mumbai, 26-27
Feb 2010, The paper is uploaded on online ACM Portal.
[218]. Guoping Qiu, ―Color Image Indexing Using BTC‖, IEEE
Transactions on Image Processing, Volume12, NO.1,
pp.93-101, January 2003.
[219]. H.B.Kekre, Swapna Borde, ‖Modified BTC for Content Based
Image Retrieval‖, IEEE Proceedings, National Conference on
Communication and Signal Processing, NCCSP-2007, April
12-13, 2007.
[220]. H.B.Kekre, Sudeep D. Thepade, Adib Parkar, ―A Comparison
of Kekre‘s Fast Search and Exhaustive Search for various
Grid Sizes used for Colouring a Greyscale Image‖, 2nd
International Conference on Signal Acquisition and
Processing (ICSAP 2010), IACSIT, Bangalore, pp. 53-57, 9-
10 Feb 2010.
R-31
[221]. H.B.Kekre, Sudeep D. Thepade, Archana Athawale, Adib
Parkar, ―Using Assorted Color Spaces and Pixel Window
Sizes for Colorization of Grayscale Images‖, ACM-
International Conference and Workshop on Emerging Trends
in Technology (ICWET 2010), Thakur College of Engg. And
Tech., Mumbai, 26-27 Feb 2010
[222]. Mark D. Fairchild, ―Color Appearance Models‖, 2nd Edition,
Wiley-IS&T, Chichester, UK, 2005. ISBN 0-470-01216-1
[223]. Rafael C. Gonzalez and Richard Eugene Woods ―Digital
Image Processing‖, 3rd edition, Prentice Hall, Upper Saddle
River, NJ, 2008. ISBN 0-13-168728-X. pp. 407–413.S
[224]. H.B.Kekre, Sudeep D. Thepade, ―Image Blending in Vista
Creation using Kekre's LUV Color Space‖, SPIT-IEEE
Colloquium and International Conference, Sardar Patel
Institute of Technology, Andheri, Mumbai, 04-05 Feb 2008.
[225]. H.B.Kekre, Sudeep D. Thepade, ―Color Traits Transfer to
Grayscale Images‖, In Proc.of IEEE First International
Conference on Emerging Trends in Engg. & Technology,
(ICETET-08), G.H.Raisoni COE, Nagpur, INDIA.
[226]. H.B.kekre, Sudeep D. Thepade, ―Improving ‗Color to Gray
and Back‘ using Kekre‘s LUV Color Space‖, IEEE
International Advanced Computing Conference 2009
(IACC‘09), Thapar University, Patiala, INDIA, 6-7 March
2009.
[227]. N. Ahmed, T. Natarajan and K. R. Rao, ―Discrete Cosine
Transform‖, IEEE Transaction Computers, C-23, pp. 90-93,
January 1974.
[228]. W. Chen, C. H. Smith and S. C. Fralick, ―A Fast
Computational Algorithm For The Discrete Cosine
Transform‖, IEEE Transaction Communications, Com-25,
pp.: 1004-1008, Sept. 1977.
R-32
[229]. R. M. Haralick, ―A Storage Efficient Way To Implement The
Discrete Cosine Transform‖, IEEE Transaction on Computers,
C-25, pp.: 764-765, July 1976.
[230]. George Lazaridis, Maria Petrou, ―Image Compression By
Means of Walsh Transform‖, IEEE Transaction on Image
Processing, Volume 15, Number 8, pp.2343-2357, 2006.
[231]. J. L. Walsh, ―A Closed Set of Orthogonal Functions‖,
American Journal of Mathematics, Volume 45, pp. 5-24,
1923.
[232]. Zhibin Pan, Kotani K., Ohmi T., ―Enhanced fast encoding
method for vector quantization by finding an optimally-
ordered Walsh transform kernel‖, ICIP 2005, IEEE
International Conference, Volume 1, pp I - 573-6, Sept.
2005.
[233]. H. Kitajima, ―Energy Packing Efficiency of the Hadamard
Transform‖, IEEE Transaction on Communication, Com-24,
pp.: 1256-1258, November 1976.
[234]. Haar Alfred, ―ZurTheorie der orthogonalen
Funktionensysteme‖. (German), Mathematische Annalen,
volume 69, No. 3, 1910, pp. 331–371.
[235]. Charles K. Chui, ―An Introduction to Wavelets‖, Academic
Press, 1992, San Diego, ISBN 0585470901.
[236]. S. A. Martucci, "Symmetric convolution and the discrete sine
and cosine transforms," IEEE Trans. Sig. Processing SP-42,
pp. 1038-1051, 1994.
[237]. M. Frigo and S. G. Johnson, "The Design and
Implementation of FFTW3," Proceedings of the IEEE Volume
93, Number 2, pp.216–231, 2005.
[238]. H.B.Kekre, J.K.Solanki, ―Comparative performance of
various trigonometric unitary transforms for transform
image coding‖, International Journal of Electronics, 1362-
3060, Volume 44, Issue 3, pp. 305 – 315, 1978.
R-33
[239]. H. Enomoto and K. R. Shibata, ―Orthogonal transform
system for television signals‖, IEEE Trans, Electromagn.
Compat., Volume 13, pp. 11-17, 1971
[240]. Rant W K, Welch L R and Chen W H, ―Slant Transforms for
Image Coding‖. Proceedings of Symposium on Applications
of Walsh Functions: 229434, 1972.
[241]. Zheng-Xin Hou, Ni-Ni Xu, Hong Chen, Xeu-Lei Li, ―Fast Slant
Transform with Sequency Increment and Its Applications in
Image Compression‖, In Proceedings of the Third
International Conference on Machine Learning and
Cybemetics, Shanghai, 26-29 August 2004
[242]. R. N. Bracewell, "Discrete Hartley transform," Journal of
Opt. Soc. America, Volume 73, Number 12, pp. 1832–183 ,
1983.
[243]. R. N. Bracewell, "The fast Hartley transform," Proc. of IEEE
Volume 72, Number 8, pp.1010–1018 ,1984.
[244]. R. N. Bracewell, ‗The Hartley Transform‖, Oxford Univ.
Press, New York, 1986.
[245]. R. N. Bracewell, "Computing with the Hartley Transform,"
Computers in Physics, Volume 9, Number 4, pp.373–379,
1995.
[246]. R. V. L. Hartley, "A more symmetrical Fourier analysis
applied to transmission problems," Proceedings of IRE 30,
pp.144–150, 1942.
[247]. H. V. Sorensen, D. L. Jones, M. T. Heideman, and C. S.
Burrus, "Real-valued fast Fourier transform algorithms,"
IEEE Transaction on Acoustics, Speech and Signal
Processing, Number 35, pp.849–863, 1987.
[248]. H.B.Kekre, Sudeep D. Thepade, Akshay Maloo, ―Extended
Performance Appraise of Image Retrieval Using the Feature
Vector as Row Mean of Transformed Column Image‖, CSC
Advances in Multimedia- An International Journal (AMIJ),
R-34
Volume 2, Issue 1, 2011 Computer Science Journals, CSC
Press, www.cscjournals.org/csc/manuscript/Journals/AMIJ
[249]. Swets D. and Weng J., ―Using Discriminant Eigenfeatures
For Image Retrieval‖, IEEE Transaction on Pattern Analysis
and Machine Intelligence, Volume 18, Number 8, pp.831–
836, 1996.
[250]. M. Turk, A. Pentland, ―Eigenfaces for Recognition‖, Journal
of Cognitive Neuroscienc, Vol. 3, Number 1, pp.71-86,1991.
[251]. Chandrasekaren S., Manjunath B., Wang Y., Winkler J.,
Zhang H., ―An eigenspace update algorithm for image
analysis‖, In Graphical Models and Image Processing, 1997.
[252]. M. Kirby, L. Sirovich, Application of the Karhunen-Loeve
Procedure for the Characterization of Human Faces, IEEE
Transactions on Pattern Analysis and Machine Intelligence,
Vol. 12, No. 1, pp. 103-108, January 1990.
[253]. H.B.Kekre, Sudeep D. Thepade, Akshay Maloo, ―Performance
Comparison for Face Recognition using PCA, DCT & Walsh
Transform of Row Mean and Column Mean‖, ICGST
International Journal on Graphics, Vision and Image
Processing (GVIP), Vol. 10, Issue 2, pp.19-27, June 2010.
[254]. H. B. Kekre, Kamal Shah, Tanuja K. Sarode, Sudeep D.
Thepade, ―Performance Comparison of Vector Quantization
Technique –KFCG with LBG, Existing Transforms and PCA for
Face Recognition‖, International Journal of Information
Retrieval (IJIR), Vol. 02, Issue 1, pp. 64-71, 2009.
[255]. J. R. Smith, S.F. Chang, ―Automated Binary Texture Feature
Sets For Image Retrieval‖, In Proceedings of IEEE
International Conference on Acoustics, Speech, and Signal
Processing, May 1996.
[256]. Lazebnik S., Schmid C., Ponce J., ―Affine-Invariant Local
Descriptors and Neighborhood Statistics for Texture
R-35
Recognition‖, In Proceedings of the IEEE International
Conference on Computer Vision (ICCV), 2003.
[257]. Wilson R. and Hancock E., ―Structural Matching By Discrete
Relaxation‖, IEEE Transaction on Pattern Analysis and
Machine Intelligence, Volume 19, Number 6, pp.634–648,
1997.
[258]. Tanuja K. Sarode ―Vector Quantization and its Applications‖,
Ph.D. Thesis, MPSTME, NMIMS University, Mumbai, India,
July 2010.
[259]. H. Y. M. Liao, D. Y. Chen, C. W. Su, and H. R. Tyan, ―Real-
time event detection and its applications to surveillance
systems,‖ in Proc. IEEE Int. Symp. Circuits and Systems,
Kos, Greece, pp.: 509–512, May 2006.
[260]. H.B.Kekre, Tanuja K. Sarode, Sudeep D. Thepade, Archana
A., Kalpana S., ―Steganography using Dictionary Sort on
Vector Quantized Codebook‖, International Journal of
Computer Science and Security (IJCSS), Volume 4, Issue 4,
pp.392-402, Oct 2010.
[261]. H. B. Kekre, Tanuja K. Sarode, Saylee Gharge ―Detection of
Cancer Using Vector Quantization for Segmentation‖,
International Journal of Computer Applications (IJCA),
Volume 4, No.9, pp.14-19, August 2010.
[262]. H. B. Kekre, Tanuja K. Sarode, Saylee Gharge ―SAR Image
Segmentation using Vector Quantization Technique on
Entropy Images‖, International Journal of Computer Science
and Information Security, Vol. 7, No. 03, 2010, USA.
[263]. H. B. Kekre, Tanuja K. Sarode, ―Speech Data Compression
using Vector Quantization‖, WASET International Journal of
Computer and Information Science and Engineering
(IJCISE), vol. 2, No. 4, pp. 251-254, Fall 2008.
[264]. H. B. Kekre, Tanuja K. Sarode, ―An Efficient Fast Algorithm
to Generate Codebook for Vector Quantization,‖ First
R-36
International Conference on Emerging Trends in Engineering
and Technology, ICETET-2008, held at Raisoni College of
Engineering, Nagpur, India, pp.: 62- 67, 16-18 July 2008.
[265]. H. B. Kekre, Tanuja K. Sarode, ―Fast Codebook Generation
Algorithm for Color Images using Vector Quantization,‖
International Journal of Computer Science and Information
Technology, Vol. 1, No. 1, pp.: 7-12, Jan 2009.
[266]. H.B.Kekre, Tanuja K. Sarode, ―Vector Quantized Codebook
Optimization using Modified Genetic Algorithm‖ IETE Journal
of Research, vol. 56, No. 5, 257-264, Sept-Oct 2010.
[267]. H. B. Kekre, Tanuja K. Sarode, ―Fast Codebook Search
Algorithm for Vector Quantization using Sorting Technique‖,
ACM International Conference on Advances in Computing,
Communication and Control (ICAC3-2009), pp.317-325, 23-
24 Jan 2009, FCRCE, Mumbai. Available on ACM portal.
[268]. H. B. Kekre, Tanuja K. Sarode, ―Fast Codevector Search
Algorithm for 3-D Vector Quantized Codebook‖, WASET
International Journal of cal Computer Information Science
and Engineering (IJCISE), Volume 2, No. 4, pp.: 235-239,
Fall 2008. Available: http://www.waset.org/ijcise
[269]. H. B. Kekre, Tanuja K. Sarode, ―Vector Quantized Codebook
Optimization using K-Means‖, International Journal on
Computer Science and Engineering (IJCSE) Volume1,
Number. 3, pp. 283-290, 2009.
[270]. H. B. Kekre, Tanuja K. Sarode, ―Multilevel Vector
Quantization Method for Codebook Generation‖,
International Journal of Engineering Research and Industrial
Applications (IJERIA), vol. 2, no. V, pp.: 217-231, 2009.
[271]. H. B. Kekre, Tanuja K. Sarode, ―Bi-level Vector Quantization
Method for Codebook Generation‖, Second International
Conference on Emerging Trends in Engineering and
R-37
Technlogy, at G. H. Raisoni College of Engineering, Nagpur
on 16-18 December 2009, is online at IEEE Xplore.
[272]. Carson C., Belongie S., Greenspan H. and Malik J.,
―Blobworld: Image Segmentation Using Expectation-
Maximization and Its Application To Image Querying‖, IEEE
Transaction on Pattern Analysis and Machine Intelligence,
Volume 24, Number 8, pp.1026–1038, 2002.
[273]. Chalechale A., Naghdy G. and Mertins A., ―Sketch-Based
Image Matching Using Angular Partitioning‖, IEEE
Transaction on Syst. Man Cybernet., Volume 35, Number 1,
pp. 28–41, 2005.
[274]. Chen Y. and Wang J. Z., ―A Region-Based Fuzzy Feature
Matching Approach to Content-Based Image Retrieval‖, IEEE
Transaction on Pattern Analysis and Machine Intelligence,
Volume 24, Number 9, pp.252–1267, 2002.
[275]. Dyah E. Herwindiati, Sani M Isa, ―The Robust Distance for
Similarity Measure of Content Based Image Retrieval‖,
Proceedings of the World Congress on Engineering 2009
(WCE 2009), Vol II, July 1 - 3, 2009, London, U.K.
[276]. K. Fukunaga, ―Introduction to Statistical Pattern
Recognition‖, Academic Press 1990.
[277]. Ingrid Daubechies, ―Ten Lectures on Wavelets‖, SIAM, 1992.