Abstract
Content-based image retrieval (CBIR) is a technique to retrieve images on the basis of image specific features such as colour [5, 17, 19], texture [11, 14, 16, 23] and shape [2, 4]. CBIR operates on a totally different principle from keyword indexing. Initially, features are computed for both stored and query images, and used to identify images most closely matching the query. The need to find a desired image from a collection is shared by many professional groups, including journalists, design engineers [24] and art historians. While the requirements of image users can vary considerably, it can be useful to characterize image queries into three levels of abstraction: primitive features such as colour or shape, logical features such as the identity of objects shown and abstract attributes such as the texture of image depicted [12, 15, 18]. Users needing to retrieve images from a collection come from a variety of domains, including crime prevention [13, 20], medicine, architecture [6, 9, 10, 21, 22], fashion and publishing. Many techniques have been proposed for content based image retrieval, but still there is thirst for better performance [1, 3] and faster retrieval [1, 7, 8].
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References
H.B.Kekre, Sudeep D. Thepade, Archana Athawale, Anant Shaha, Prathmesh Verlekar, Suraj Shirke, “Image Retrieval using DCT on Row Mean, Column Mean and Both with Image Fragmentation”, (Selected), ACM-International Conference and Workshop on Emerging Trends in Technology (ICWET 2010), TCET, Mumbai, 26-27 Feb 2010, The paper will be uploaded on online ACM Portal
Nuno Vasconcelos, “From pixels to semantic spaces: Advances in Content-Based Image Retrieval”, published by IEEE computer society
H.B.Kekre, Tanuja K.Sarode, Sudeep D. Thepade,”Image Retrieval by Kekre’s Transform Applied on Each Row of Walsh Transformed VQ Codebook”, (Invited), ACM-Int. Conference and Workshop on Emerging Trends in Technology (ICWET 2010), TCET, Mumbai, 26-27 Feb 2010, The paper is invited at ICWET 2010. Also will be uploaded on online ACM Portal
Qasim Iqbal, J. K. Aggarwal, “ CIRES: A System for Content-Based Retrieval in Digital Image Libraries”, in the seventh international conference on Control, Automation, Robotics and Vision (ICARCV’02),Dec 2002, Singapore
H.B.Kekre, Sudeep D. Thepade, “Image Retrieval using Augmented Block Truncation Coding Techniques”, ACM International Conference on Advances in Computing, Comm. and Control (ICAC3-2009), pp. 384-390, 23-24 Jan 2009, Fr. CRCE, Mumbai. Is uploaded on online ACM portal
H.B.Kekre, Sudeep D. Thepade, “Image Blending In Vista Creation using Kekre’s LUV Color Space”, SPIT-IEEE Colloquium and International Conference, 04-05 Feb 2008, SPIT Andheri, Mumbai
Wang Xiaoling, “ A Novel Cicular Ring Histogram for Content-based Image Retrieval”, First International Workshop on Education Technology and Computer Science, 2009
Junyu Dong, Muwei Jian, Dawei Gao, Shengke Wang, “Reducing the Dimensionality of Feature Vectors for Textual Image Retrieval Based On Wavelet Decomposition”, Eighth ACIS Int. Conf. on Software Engineering, Artificial Intelligence, Networking and Parallel/ Distributed Computing
H.B.Kekre, Sudeep D. Thepade, “Panoramic View Construction using Partial Images”, IEEE sponsored International Conference on Sensors, Signal Processing, Communication, Control and Instrumentation (SSPCCIN2008) 03-05 Jan 2008,Vishwakarma Institute of Technology, Pune
H.B.Kekre, Sudeep D. Thepade, “Vista creation using Picture Parts”, International Conference on Emerging Technologies and Applications in Engineering, Technology and Sciences (ICETAETS-2008), 12-13 Jan 2008, Held at Computer Science Dept., Saurashtra University, Rajkot, India
Xiaoyi Song, Yongjie Li, Wufan Chen,”A Textural Feature Based Image Retrieval Algorithm”, in Proc. of 4th Int. Conf. on Natural Computation, Oct. 2008
H. B. Kekre, Ms. Tanuja K. Sarode, Sudeep D. Thepade, “Image Retrieval using Color-Texture Features from DCT on VQ Codevectors obtained by Kekre’s Fast Codebook Generation”, ICGST-International Journal on Graphics, Vision and Image Processing (GVIP), Volume 9, Issue 5, pp.: 1-8, September 2009. Available online at http://www.icgst.com/gvip/Volume9/ Issue5/P1150921752.html
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
Jing Zhang, Gui-li Li, Seok-wum He, “Texture-Based Image Retrieval By Edge Detection Matching GLCM “, in Proc. of 10th Int. Conference on High Performance Computing and Comm., Sept. 2008
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 (ISSN: 0974-0627)
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, 2009. Abstract available online at www.ascent-journals.com
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 (ISSN: 0974-0627)
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, Available online www.icgst.com/gvip/Volume10/Issue1/ P1150938876.html
H.B.Kekre, Sudep D. Thepade, “Using YUV Color Space to Hoist the Performance of Block Truncation Coding for Image Retrieval”, In Proc. of IEEE Int. Advanced Computing Conference 2009 (IACC’09), Thapar University, Patiala, INDIA, 6-7 March 2009
H.B.Kekre, Sudeep D. Thepade, “Rendering Futuristic Image Retrieval System”, In Proc. of National Conference on Enhancements in Computer, Communication and Information Technology, EC2IT-2009, 20-21 Mar 2009, K.J. Somaiya College of Engineering, Vidyavihar, Mumbai-77
H.B.Kekre, Sudeep D. Thepade, “Creating the Color Panoramic View using Medley of Grayscale and Color Partial Images “, WASET International Journal of Electrical, Computer and System Engineering (IJECSE), Volume 2, No. 3, Summer 2008. Available online at www.waset.org/ijecse/v2/ v2-3-26.pdf
H.B.Kekre, Sudeep D. Thepade, “Rotation Invariant Fusion of Partial Images in Vista Creation”, WASET International Journal of Electrical, Computer and System Engineering (IJECSE), Volume 2, No. 2, Spring 2008. Available online at www.waset.org/ijecse/v2/v2-2-13.pdf
Sanjoy Kumar Saha, Amit Kumar Das, Bhabatosh Chanda, “CBIR using Perception based Texture and Color Measures”, in Proc. of 17th International Conference on Pattern Recognition(ICPR’04), Vol. 2, Aug 2004
H.B.Kekre, Sudeep D. Thepade, “Scaling Invariant Fusion of Image Pieces in Panorama Making and Novel Image Blending Technique”, International Journal on Imaging (IJI), Autumn 2008, Volume 1, No. A08, Available online at www.ceser.res.in/iji.html (ISSN: 0974-0627)
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, 2009, pp. 72-79 (ISSN: 0974-6285)
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Kekre, H.B., Thepade, S.D., Athawale, A., Shah, A., Verlekar, P., Shirke, S. (2011). Performance evaluation of image retrieval using energy compaction and imagetiling over DCT row mean and DCT column mean. In: Pise, S.J. (eds) Thinkquest~2010. Springer, New Delhi. https://doi.org/10.1007/978-81-8489-989-4_29
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DOI: https://doi.org/10.1007/978-81-8489-989-4_29
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