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| Extended Performance Appraise of Image Retrieval Using the Feature Vector as Row Mean of Transformed Column Image
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Source |
Advances in Multimedia - An International Journal (AMIJ) |
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Table of Contents |
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Complete Issue PDF(1.44MB) |
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Volume: 2 Issue: 1 |
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Pages: NULL |
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Publication
Date: March / April 2011 |
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ISSN
(Online): 2180-1223 |
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1 - 17 |
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Published
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04-04-2011 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
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| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: CBIR, Row Mean, DCT, DST, Walsh, Haar, Heartley,, Slant, Kekre |
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| This Manuscript is indexed in the following databases/websites:- |
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| 1. Scribd |
| 2. Docstoc |
| 3. Google Scholar |
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| The extension to the content based image retrieval (CBIR) technique based on row mean of transformed columns of image is presented here. As compared to earlier contemplation three image transforms, now the performance appraise of proposed CBIR technique is done using seven different image transforms like Discrete Cosine Transform (DCT), Discrete Sine Transform (DST), Hartley Transform, Haar Transform, Kekre Transform, Walsh Transform and Slant Transform. The generic image database with 1000 images spread across 11 categories is used to test the performance of proposed CBIR techniques. For each transform 55 queries (5 per category) were fired on the image database. Every technique is tested on both the color and grey version of image database. To compare the performance of image retrieval technique across transforms average precision and recall are computed of all queries. The results have shown the performance improvement (higher precision and recall values) with proposed methods compared to all pixel data of image at reduced computations resulting in faster retrieval in both gray as well as color versions of image database. Even the variation of considering DC component of transformed columns as part of feature vector and excluding it are also tested and it is found that presence of DC component in feature vector improvises the results in image retrieval. The ranking of transforms for performance in proposed gray CBIR techniques with DC component consideration can be given as DST, Haar, Hartley, DCT, Walsh, Slant and Kekre. In color variants of proposed techniques with DC component, the performance ranking of image transforms starting from best can be listed as DCT, Haar, Walsh, Slant, DST, Hartley and Kekre transform. |
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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, Number 3, pp. 172-180, Summer 2008. Available online at http://www.waset.org/ijecse/v2/v2-3-23.pdf
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| 2 |
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), pp. 384-390, 23-24 Jan 2009, Fr. Conceicao Rodrigous College of Engg., Mumbai. Is uploaded on online ACM portal.
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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), www.ceser.res.in/iji.html, Volume 1, No. A08, pp. 31-46, Autumn 2008.
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Hirata K. and Kato T. “Query by visual example – content-based image retrieval”, In Proc. of Third International Conference on Extending Database Technology, EDBT’92, 1992, pp 56-71
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H.B.Kekre, Sudeep D. Thepade, “Rendering Futuristic Image Retrieval System”, 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.
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Minh N. Do, Martin Vetterli, “Wavelet-Based Texture Retrieval Using Generalized Gaussian Density and Kullback-Leibler Distance”, IEEE Transactions On Image Processing, Volume 11, Number 2, pp.146-158, February 2002.
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B.G.Prasad, K.K. Biswas, and S. K. Gupta, “Region –based image retrieval using integrated color, shape, and location index”, International Journal on Computer Vision and Image Understanding Special Issue: Color for Image Indexing and Retrieval, Volume 94, Issues 1-3, April-June 2004, pp.193-233.
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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.
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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.
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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.
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H.B.Kekre, Sudeep D. Thepade, Akshay Maloo “Performance Comparison for Face Recognition using PCA, DCT &WalshTransform of Row Mean and Column Mean”, Computer Science Journals, International Journal oj Image Processing (IJIP), Volume 4, Issue II, May.2010, pp.142-155, available online at http://www.cscjournals.org/ csc/manuscript/Journals/IJIP/volume4/Issue2/IJIP-165.pdf.
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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. Is uploaded on online at IEEE Xplore.
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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.
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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. Uploaded on online IEEE Xplore.
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http://wang.ist.psu.edu/docs/related/Image.orig (Last referred on 23 Sept 2008)
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H.B.Kekre, Sudeep D. Thepade, “Using YUV Color Space to Hoist the Performance of Block Truncation Coding for Image Retrieval”, IEEE International Advanced Computing Conference 2009 (IACC’09), Thapar University, Patiala, INDIA, 6-7 March 2009.
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H.B.Kekre, Sudeep D. Thepade, Archana Athawale, Anant Shah, Prathmesh Verlekar, Suraj Shirke,“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, (ISSN: 1738-7906) Available at www.IJCSNS.org.
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H.B.Kekre, Sudeep D. Thepade, Archana Athawale, Anant Shah, Prathmesh Verlekar, Suraj Shirke, “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, (ISSN: 0975–3397). Available online at www.enggjournals.com/ijcse.
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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
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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).
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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).
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| 22 |
H.B.Kekre, Sudeep D. Thepade, Akshay Maloo “Performance Comparison for Face Recognition using PCA, DCT &WalshTransform of Row Mean and Column Mean”, ICGST International Journal on Graphics, Vision and Image Processing (GVIP), Volume 10, Issue II, Jun.2010, pp.9-18, available online at http://209.61.248.177/gvip/Volu me10/Issue2/P1181012028.pdf..
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| 23 |
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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| 24 |
H.B.Kekre, Sudeep D. Thepade, Archana Athawale, Anant Shah, Prathmesh Verlekar, Suraj Shirke, “Performance Evaluation of Image Retrieval using Energy Compaction and Image Tiling over 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, The paper will be uploaded on online Springerlink.
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H.B.Kekre, Sudeep D. Thepade, Akshay Maloo “Query by Image Content Using Color Averaging Techniques”, Engineering journals, International Journal of Engineering, Science and Technology (IJEST), Volume 2, Issue 6, Jun.2010, pp.1612-1622, Available online http://www.ijest.info/docs/IJEST10-02-06-14.pdf.
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| 26 |
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-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 invited at ICWET 2010. Also will be uploaded on online ACM Portal.
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| 27 |
H.B.Kekre, Tanuja Sarode, Sudeep D. Thepade, “DCT Applied to Row Mean and Column Vectors in Fingerprint Identification”, In Proceedings of Int. Conf. on Computer Networks and Security (ICCNS), 27-28 Sept. 2008, VIT, Pune.
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| 28 |
H.B.Kekre, Sudeep D. Thepade, Akshay Maloo, “Performance Comparision of Image Retrieval using Row Mean of Transformed Column Image ”, International Journal on Computer Science and Engineering (IJCSE), Volume 2, Issue 5.
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| H.B.Kekre : Colleagues
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| Sudeep D.Thepade : Colleagues
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| Akshay Maloo : Colleagues
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