CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Content based Image Retrieval using SVM-ID3

by Maneela Jain, Pushpendra Singh Tomar, Manish Shrivastava
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 87 - Number 17
Year of Publication: 2014
Authors: Maneela Jain, Pushpendra Singh Tomar, Manish Shrivastava
10.5120/15303-4074

Maneela Jain, Pushpendra Singh Tomar, Manish Shrivastava . Content based Image Retrieval using SVM-ID3. International Journal of Computer Applications. 87, 17 ( February 2014), 35-42. DOI=10.5120/15303-4074

@article{ 10.5120/15303-4074,
author = { Maneela Jain, Pushpendra Singh Tomar, Manish Shrivastava },
title = { Content based Image Retrieval using SVM-ID3 },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 87 },
number = { 17 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 35-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume87/number17/15303-4074/ },
doi = { 10.5120/15303-4074 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:06:23.010374+05:30
%A Maneela Jain
%A Pushpendra Singh Tomar
%A Manish Shrivastava
%T Content based Image Retrieval using SVM-ID3
%J International Journal of Computer Applications
%@ 0975-8887
%V 87
%N 17
%P 35-42
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Content-based image retrieval (CBIR) systems aim to return the most relevant images in a database, according to the user's opinion for a given query. Due to the dynamic nature of the problem, this may change the meaning of relevance among users for a same query. In this ID3 (Decision Tree) based support vector machine (SVM) method proposed to retrieve several features and shorten the semantic gap between low-level visual feature and high-level perception. The analysis of the proposed work is done using MATLAB 2009a simulator.

References
  1. Science, 2012, 5, 32-38 Published Online May 2012 in MECS (http://www. mecs-press. org/) DOI: 10. 5815/ijitcs. 2012. 05. 05
  2. K. Ashok Kumar & Y. V. Bhaskar Reddy, "Content Based Image Retrieval Using SVM Algorithm", nternational Journal of Electrical and Electronics Engineering (IJEEE) ISSN (PRINT): 2231 – 5284, Vol-1, Iss-3, 2012
  3. V. Karpagam, and R. Rangarajan," Improved content-based classification and retrieval of images using support vector machine", CURRENT SCIENCE, VOL. 105, NO. 9, 10 NOVEMBER 2013.
  4. Science, 2012, 5, 32-38 Published Online May 2012 in MECS (http://www. mecs-press. org/) DOI: 10. 5815/ijitcs. 2012. 05. 05
  5. K. Ashok Kumar & Y. V. Bhaskar Reddy, "Content Based Image Retrieval Using SVM Algorithm", international Journal of Electrical and Electronics Engineering (IJEEE) ISSN (PRINT): 2231 – 5284, Vol-1, Iss-3, 2012
  6. V. Karpagam, and R. Rangarajan," Improved content-based classification and retrieval of images using support vector machine", CURRENT SCIENCE, VOL. 105, NO. 9, 10 NOVEMBER 2013
  7. Chowdhury, M. , Das, S. and Kundu, M. K. , Novel CBIR system based on ripplet transform using interactive neuro-fuzzy technique. Electron. Lett. Computer Vision Image Anal. , 2012, 11, 1–13.
  8. Malik, F. and Baharudin, B. B. , Feature analysis of quantized histogram color features for content-based image retrieval based on Laplacian filter. In International Conference on System Engineering and Modeling. IACSIT Press, Singapore, 2012, vol. 34.
  9. K. C. Sia and Irwin King. "Relevance feedback based on parameter estimation of target distribution" In IEEE International Joint Conference on Neural Networks, pages 1974–1979, 2002.
  10. Simon Tong and Edward Chang. " Support vector machine active learning for image retrieval. In MULTIMEDIA "in Proceedings of the ninth ACM international conference on Multimedia, pages 107–118. 2001.
  11. I. Felci Rajam, S. Valli:" A Survey on Content Based Image Retrieval" Life Sci J 2013; 10(2): 2475-2487]. (ISSN: 1097-8135). http://www. lifesciencesite. com 343
  12. Patheja P. S. , Waoo Akhilesh A. and Maurya Jay Prakash, "An Enhanced Approach for Content Based Image Retrieval", International Science Congress Association, Research Journal of Recent Sciences, ISSN 2277 – 2502 Vol. 1(ISC-2011), 415-418, 2012.
  13. Sandeep Kumar, Zeeshan Khan, Anuragjain, "A Review of Content Based Image Classification using Machine Learning Approach", International Journal of Advanced Computer Research (ISSN (print): 2249-7277 ISSN (online): 2277-7970) Volume-2 Number-3 Issue-5 September-2012
  14. T. Jyothirmayi, Suresh Reddy, "An Algorithm for Better Decision Tree", (IJCSE) International Journal on Computer Science and Engineering, Vol. 02, No. 09, 2010, 2827-2830.
  15. T. C. Wong, Medical Image Databases. New York, LLC: Springer–Verlag, 1998.
  16. A. Smeulder, M. Worring, S. Santini, A. Gupta, and R. Jain, ?Contentbased image retrieval at the end of the early years", IEEE Trans. Pattern Anal. Machine Intell vol. 22, no. 12, pp. 1349–1380, Dec. 2000.
  17. Efficient Relevance Feedback for Content-Based Image Retrieval by Mining User Navigation Patterns -IEEE transactions on knowledge and data engineering, vol. 23, no. 3, march 2011.
  18. Monika Daga, Kamlesh Lakhwani, "A Novel Content Based Image Retrieval Implemented By NSA Of AIS", International Journal Of Scientific & Technology Research Volume 2, Issue 7, July 2013 ISSN 2277-8616
  19. Tran Son Hai, Nguyen Thanh Thuy, "Image Classification using Support Vector Machine and Artificial Neural Network", I. J. Information Technology and Computer.
Index Terms

Computer Science
Information Sciences

Keywords

CBIR Decision tree ID3 SVM Semantic gap.

Powered by PhDFocusTM