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Impact on Image Retrieval with Successive Truncation of DCT

N S T Sai, R C Patil Published in

International Journal of Applied Information Systems
Year of Publication 2012
© 2010 by IJAIS Journal
Authors N S T Sai, R C Patil
10.5120/ijais12-450231
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  1. N S T Sai and R C Patil. Article: Impact on Image Retrieval with Successive Truncation of DCT. International Journal of Applied Information Systems 2(1):1-10, May 2012. BibTeX

    @article{key:article,
    	author = "N S T Sai and R C Patil",
    	title = "Article: Impact on Image Retrieval with Successive Truncation of DCT",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 2,
    	number = 1,
    	pages = "1-10",
    	month = "May",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

The process of digitization does not in itself make image collections easier to manage. Some form of cataloguing and indexing is still necessary – the only difference being that much of the required information can now potentially be derived automatically from the images themselves. The extent to which this potential is currently being realized is discussed below. This paper presents the method developed to search and retrieve the similar image using feature vector computed from the image which is truncated successively using DCT. Truncated image coefficients are reducing after each level. So the impact of this successively truncated DCT on the retrieving the image is discussed in this paper . Gray scale image, RGB color image and YCbCr color image is used to compute the feature vector. So we can compare the result of these three types of color plane for the proposed method. Similarity between the query image and database image measured here by using simple Euclidean distance and Bray Curtis distance. The average precision and average recall of each image category and overall average precision and overall average recall is considered for the performance measure.

Reference

  1. Bowman, M. , Debray, S. K. , and Peterson, L. L. 1993. Reasoning about naming systems. .
  2. Ding, W. and Marchionini, G. 1997 A Study on Video Browsing Strategies. Technical Report. University of Maryland at College Park.
  3. Fröhlich, B. and Plate, J. 2000. The cubic mouse: a new device for three-dimensional input. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  4. Tavel, P. 2007 Modeling and Simulation Design. AK Peters Ltd.
  5. Sannella, M. J. 1994 Constraint Satisfaction and Debugging for Interactive User Interfaces. Doctoral Thesis. UMI Order number1: UMI Order No. GAX95-09398. , University of Washington.
  6. Forman, G. 2003. An extensive empirical study of feature selection metrics for text classification. J. Mach. Learn. Res. 3 (Mar. 2003), 1289-1305.
  7. Brown, L. D. , Hua, H. , and Gao, C. 2003. A widget framework for augmented interaction in SCAPE.
  8. Y. T. Yu, M. F. Lau, "A comparison of MC/DC, MUMCUT and several other coverage criteria for logical decisions", Journal of Systems and Software, 2005, in press.
  9. Spector, A. Z. 1989. Achieving application requirements. In Distributed Systems, S. Mullender
  10. NST Sai, Ravindra patil ,"Average Row and Column Vector Wavelet Transform for CBIR", Second international conference on Advance in Computer Vision and Information Technology (ACVIT2009),Aurangabad, India.
  11. NST Sai, Ravindra patil ,"New Feature Vector for Image Retrieval Walsh Coefficients", Second international conference on Advance in Computer Vision and Information Technology (ACVIT2009),Aurangabad, India.
  12. NST Sai, Ravindra patil ,"Image Retrieval using DCT Coefficients of Pixel Distribution and Average Value of row and Column Vector "IEEE International Conference on Recent Trends in Information ,Telecommunication and Computing(ITC2009),Kochi, Kerala, India.
  13. NST Sai, Ravindra patil," Moments of Pixel Distribution of CBIR" International Conference and Workshops on Emerging Trends in Technology (ICWET2010),Mumbai, India.
  14. NST Sai, Ravindra patil ,"New Feature Vector for Image Retrieval: Sum of the Value of Histogram Bins "IEEE Conference on Advance in Computing, Control & Telecommunication Technologies (ACT2009),Trivandrum, India.
  15. NST Sai, Ravindra patil,"Image Retrival usng Equalized Histogram Image Bins Moment" Inter national Joint Journal Conference in Engneering ,IJJCE,2010,Trivandrum,India.
  16. R. C. Gonzalez, and R. E. Woods, Digital Image Processing 2nd ed. ,Prentice Hall, Inc. , New Jersey, 2002.
  17. K. C. Ting,D. B. L. Bong,Y. C. Wang,"Performance Analysis of Single and Combined Bit-Planes Feature Extraction for Recognition in Face Expression Database ", Proceedings of the International Conference on Computer and Communication Engineering 2008,May 13-15, 2008 Kuala Lumpur, Malaysia .
  18. Guoping Qiu, "Colour Image Indexing Using BTC", IEEE Transition on Image Processing, vol. No 12,. Janauary 2003.
  19. Pdamshree Suresh,RMD Sundaram,Aravindhan Arumugam," Feature Extraction in Compressed Domain for Content Based Image Retrieval ",International Conference on Advanced Computer Theory and Engineering. 2008.
  20. M. Flickner, H. Sawhney, W. Niblack, J. Ashley, Q. Huang, B. Dom, M. Gorkani, J. Hafner, D. Lee, D. Petkovic, D. Steele, and P. Yanker, "Query by Image and Video Content: The QBIC System", IEEE Computer, 28(9):23–32, Sept. 1995.
  21. A. W. M. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, "Content-based image retrieval at the end of the early years," IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI), 22(12):1349–1380, Dec. 2000.
  22. K. Hirata and T. Kato, ªQuery by Visual Example," Advances in Database Technology EDBT '92, Third Int'l Conf. Extending Database Technology, 1992.
  23. W. Y. Ma and B. S. Manjunath, "Pictorial Queries: Combining Feature Extraction with Database Search," Technical Report 18, Dept. of Electrical Eng. , Univ. of California at Santa Barbara, 1994.
  24. W. Y. Ma and B. S. Manjunath, "Pictorial Queries: Combining Feature Extraction with Database Search," Technical Report 18, Dept. of Electrical Eng. , Univ. of California at Santa Barbara, 1994.
  25. A. Gupta and R. Jain, ªVisual Information Retrieval," Comm. ACM, vol. 40, no. 5, 1997.
  26. C. E. Jacobs, A. Finkelstein, and D. H. Salesin, "Fast Multiresolution Image Querying," Proc. SIGGRAPH 95, 1995.
  27. W. J. Z. Wang, G. Wiederhold, O. Firschein, and S. X. Wei, "Wavelet Based Image Indexing Techniques with Partial Sketch Retrieval Capability," J. Digital Libraries, 1997.
  28. Seung Jun-Lee, Yong-Hwan Lee, Hyochang Ahn, Sang Burm Rhee, "Color image descriptor using wavelet correlogram," The 23rd international conference on Circuits/systems, computers and communication, 2008.
  29. A Gupata and R. Jain, "Visual Information Retrieval," Comman. ACM, vol. 40, no. 5, 70- 79, 1997.
  30. M. Mohammed Sathik,"Feature Extracton on ColorED x-Ray Images by Bit-plane Slicing Technique",International Journal of Engineering Science and Technology Vol. 2(7), 2010, 2820-2824.
  31. Govind Haldankar, Atul Tikare and Jayprabha Patil, "Converting Gray Scale Image to Color Image" in Proceedings of SPIT-IEEE Colloquium and International Conference, Mumbai, India, Vol. 1, 189.
  32. Pratt W. K. , Digital image processing, A Wiley Interscience Publication, 1991.
  33. N. Ravia Shabnam Parveen, Dr. M. Mohamed Sathik, "Feature Extraction by Bit Plane Slicing Technique", in International Journal of Computing, Communication and Information System, Volume 1.
  34. M. K. Mandal, T. Aboulnasr, and S. Panchanathan,, "Image Indexing Using Moments and Wavelets", IEEE Transactions on Consumer Electronics, Vol. 42, No. 3, August 1996.
  35. Zhe-Ming Lu,Su-ZhiLi and Hans Burkhardt," A Content-Based Image Retrieval scheme in JPEG Compressed Domain ", International Journal of Innovative Computing, Information and Control Volume 2,number14 , August 2006.
  36. Andrew B. Watson NASA Ames Research Center,"Image Compression Using the Discrete Cosine Transform",Mathematica Journal, 4(1), 1994, p. 81-88.
  37. H. B. Kekre, Ms 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.
  38. H. B. Kekre, Dhirendra Mishra,"Digital Image Search & Retrieval using FFT Sectors of Color Images" published in International Journal of Computer Science and Engineering (IJCSE) Vol. 02,No. 02,2010,pp. 368-372 ISSN 0975-3397 .
  39. H. B. Kekre, Dhirendra Mishra, "CBIR using upper six FFT Sectors of Color Images for feature vector generation" published in International Journal of Engineering and Technology(IJET) Vol. 02,No. 02,2010,49-54 ISSN 0975-4024.
  40. H. B. Kekre, Sudeep D. Thepade, Archana Athawale, Anant Shah, 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.

Keywords

Cbir,dct Truncation, Rgb, Ycbcr, Precision, Recall, Mean, Standard Deviation, Euclidean Distance,bray Curtis Distance