CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Image Re-Ranking by Analyzing GLCM and Color Features

by Praveen Mishra, G. S. Prajapati
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 16
Year of Publication: 2015
Authors: Praveen Mishra, G. S. Prajapati
10.5120/19272-0905

Praveen Mishra, G. S. Prajapati . Image Re-Ranking by Analyzing GLCM and Color Features. International Journal of Computer Applications. 109, 16 ( January 2015), 24-28. DOI=10.5120/19272-0905

@article{ 10.5120/19272-0905,
author = { Praveen Mishra, G. S. Prajapati },
title = { Image Re-Ranking by Analyzing GLCM and Color Features },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 16 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 24-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume109/number16/19272-0905/ },
doi = { 10.5120/19272-0905 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:44:57.362796+05:30
%A Praveen Mishra
%A G. S. Prajapati
%T Image Re-Ranking by Analyzing GLCM and Color Features
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 16
%P 24-28
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the growth of internet visual data like images are increase with every minute. Now this increase of data has attract many researchers for searching the relevant images from the collection. In this paper focus is on the re-ranking of images by utilizing the visual features. So given a visual query in form of an image is done and base on that relevant image retrieval, are done with their proper ranking. Here searching is done on the basis of the visual feature values obtain from the query image on the dataset each image similar visual feature values those images whose similarity is same is consider as relevant and the most similar images is ranked first then next as second, other are done in similar fashion. Results shows that combination of feature give more effective results as compare to single one.

References
  1. N. Ben-Haim, B. Babenko, and S. Belongie 2006. Improving web based image search via content based clustering. In IEEE Xplore SLAM, New York City, NY.
  2. K. Barnard, P. Duygulu, N. de Freitas, D. Forsyth, D. Blei, and M. Jordan Feb 2003. Matching words and pictures. J. Machine Learning Research, 3:1107–1135.
  3. G. Iyengar, H. J. Nock, and C. Neti 2003, "Discriminative model fusion for semantic concept detection and annotation in video," in Proc. ACM Multimedia, pp. 255–258.
  4. R. Yan and A. Hauptmann 2003, "The combination limit in multimedia retrieval," in Proc. ACM Multimedia, pp. 339–342.
  5. MSapthagiri. k, Manickam. L. Based on Color, Texture (GLCM & CCM) features, and Genetic-Algorithm 2010. International journal of Merging Technology and advanced research in computing. ISSN: 2320-1363.
  6. K. Jarvelin and J. Kekalainen 2002 "Cumulated gain-based evaluation of IR techniques," ACM Trans. Inf. Syst. , vol. 20, no. 4, pp. 422–446.
  7. N. Morsillo, C. Pal, and R. Nelson 2008. Mining the web for visual concepts. In 9th KDD Multimedia Data Mining worksho.
  8. R. Raguram and S. Lazebnik 2008. Computing iconic summaries of general visual concepts. Computer Vision and Pattern Recognition Worksho.
  9. F. Schro, A. Criminisi, and A. Zisserman Oct. 2007. Harvesting image databases from the web. In Computer Vision, 2007. ICCV 2007. IEEE 11th InternationalConference on, pages.
  10. G. Wang and D. Forsyth 2008. Object image retrieval by exploiting online knowledge resources. In IEEE Conference on Computer Vision and Pattern Recognition.
  11. Y. Jing and S. Baluja 2008. Visual rank: Applying pagerank to large-scale image search. IEEE Trans. Pattern Anal. Mach. Intell. , 30(11):1877.
  12. Meng Wang, Hao Li, Dacheng Tao, Ke Lu, and Xindong Wu , November 2012 . Multimodal Graph-Based Reranking for Web Image Search. IEEE Transaction on image processing Vol. 21, NO. 11.
  13. Kirti Yadav, Sudhir SinghImproving June 2014. Web Image Search Re-Ranking Using Hybrid ApproachIJARCSSE. Volume 4, Issue 6.
  14. R. Murumkar, Mr. C. M. Jadhav, Ms. Swati June, 2014. An Effective Image Search Reranking Based On Prototype IJESRT, 3(6).
Index Terms

Computer Science
Information Sciences

Keywords

Digital Image Processing Information Extraction feature extraction Re-ranking.

Powered by PhDFocusTM