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Comparative Performance Evaluation of Edge Histogram Descriptors and Color Structure Descriptors in Content Based Image Retrieval

Published on December 2013 by Pranoti Mane, N. G. Bawane
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National Conference on Innovative Paradigms in Engineering & Technology 2013
Foundation of Computer Science USA
NCIPET2013 - Number 6
December 2013
Authors: Pranoti Mane, N. G. Bawane
1de7e545-c806-40d2-a9b2-fc127496fc7a

Pranoti Mane, N. G. Bawane . Comparative Performance Evaluation of Edge Histogram Descriptors and Color Structure Descriptors in Content Based Image Retrieval. National Conference on Innovative Paradigms in Engineering & Technology 2013. NCIPET2013, 6 (December 2013), 5-9.

@article{
author = { Pranoti Mane, N. G. Bawane },
title = { Comparative Performance Evaluation of Edge Histogram Descriptors and Color Structure Descriptors in Content Based Image Retrieval },
journal = { National Conference on Innovative Paradigms in Engineering & Technology 2013 },
issue_date = { December 2013 },
volume = { NCIPET2013 },
number = { 6 },
month = { December },
year = { 2013 },
issn = 0975-8887,
pages = { 5-9 },
numpages = 5,
url = { /proceedings/ncipet2013/number6/14732-1398/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Innovative Paradigms in Engineering & Technology 2013
%A Pranoti Mane
%A N. G. Bawane
%T Comparative Performance Evaluation of Edge Histogram Descriptors and Color Structure Descriptors in Content Based Image Retrieval
%J National Conference on Innovative Paradigms in Engineering & Technology 2013
%@ 0975-8887
%V NCIPET2013
%N 6
%P 5-9
%D 2013
%I International Journal of Computer Applications
Abstract

Content based image retrieval (CBIR) system is broadly used for searching and browsing images from a large database by extracting the visual content of the images. Image database is build by feature vectors corresponding to texture, color, shape and spatial features. The MPEG-7 standards provide standardized tools to describe and search audio and video contents. In this paper we apply the edge histogram descriptors (EHD) and color structure descriptors (CSD) standardized by MPEG-7 standard to different kind of images for content based image retrieval. We have used a database of 1000images provided by Wang. et. al. Experimental results are shown by calculating and plotting Precision and Recall performance parameters for three approaches which include the retrieval by EHD and CSD method individually as well as a combined similarity measures.

References
  1. Ying Liu,Dengsheng Zhang,Guojun Lu and Wie- Ying Ma,"A survey of content-based image retrieval with high-level semantics", Pattern Recognition,vol. 40,issue1,January 2007,pp262-282.
  2. M. B . Kokare, B. N. Chatterji and P. K. Biswas, "A Survey On Current Content Based Image Retrieval Methods", IETE Journal of Research, 2002,pp. 261-271.
  3. G. Rafiee, S. S. Dlay, and W. L. Woo, "A Review of Content-Based Image Retrieval", CSSNDSP 2010,pp. 775-779.
  4. B. S. Manjunath, Member, Jens-Rainer Ohm, Member, Vinod V. Vasudevan, and Akio Yamada, "Color and Texture Descriptors", IEEE Transactions on Circuits And Systems For Video Technology, vol. 11, No. 6, June 2001, pp. 703-715.
  5. J. R. ohmer, Heon Jun Kim, S. Krishnamachari ,B. S. Manjunath , Akio Yamada , "The MPEG-7 Color Descriptors".
  6. D. K. Park,Y. S. Jeon,C. S. Won, "Efficient Use of Local Edge Histogram Descriptor", Proceeding, ACM workshops on Multimedia, November 2000, pp. 51-54.
  7. C. S. Won,D. K. Park,S,J. Park, "Efficient Use of MPEG-7 Edge Histogram Descriptor", ETRI Journal, vol. 24, Number 1, February 2002,pp. 23-30
  8. Thomas Sikora, "The MPEG-7 Visual Standard for Content Description—An Overview", IEEE Transactions on Circuits and Systems for Video Technology, vol. 11, No. 6, June 2001, pp. 696-702
  9. Palma de Mallorca, October 2004, "MPEG-7 Overview", ISO/IECJTC1/SC29/WG11N6828.
  10. Vasileios Mezaris1,2, Ioannis Kompatsiaris2, and Michael G. Strintzis, "An Ontology based approach to object based Image retrieval" ,ICIP 2003.
  11. Samuel Barretta, Ran Changb, and Xiaojun Qib, "A Fuzzy based learning approach to CBIR",ICME2009, IEEE, pp 838-841.
  12. Pierre Blanchart and Mihai Datcu, " A Semi-Supervised Algorithm for Auto-Annotation and unknown Structures Discovery in Satellite Image Databases", IEEE journal of selected topics in applied earth observations and remote sensing, vol. 3, No. 4, December 2010,pp698-717.
  13. Yong Rui, Thomas S. Huang, Michael Ortega and Sharad Mehrotra "Relevance Feedback: A Power Tool for Interactive Content-Based Image Retrieval", IEEE Transactions on Circuits and Video Technology, vol. 8,issue 5, pp. 644-655.
  14. Mohammed Lamine Kherfi and Djemel Ziou, "Relevance Feedback for CBIR: A New Approach Based on Probabilistic Feature Weighting with Positive and Negative Examples", IEEE Transactions on Image Processing, vol. 15, No. 4, April 2006, pp. 1017-1030.
Index Terms

Computer Science
Information Sciences

Keywords

Content Based Image Retrieval Precision Recall.