We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Reseach Article

Efficient Content based Image Retrieval System using Mpeg-7 Features

by Swapnalini Pattanaik, D. G. Bhalke
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 53 - Number 5
Year of Publication: 2012
Authors: Swapnalini Pattanaik, D. G. Bhalke
10.5120/8418-1092

Swapnalini Pattanaik, D. G. Bhalke . Efficient Content based Image Retrieval System using Mpeg-7 Features. International Journal of Computer Applications. 53, 5 ( September 2012), 19-24. DOI=10.5120/8418-1092

@article{ 10.5120/8418-1092,
author = { Swapnalini Pattanaik, D. G. Bhalke },
title = { Efficient Content based Image Retrieval System using Mpeg-7 Features },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 53 },
number = { 5 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 19-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume53/number5/8418-1092/ },
doi = { 10.5120/8418-1092 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:53:21.373009+05:30
%A Swapnalini Pattanaik
%A D. G. Bhalke
%T Efficient Content based Image Retrieval System using Mpeg-7 Features
%J International Journal of Computer Applications
%@ 0975-8887
%V 53
%N 5
%P 19-24
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper gives an overview idea of efficient retrieval of images using different Mpeg-7 Features. Content Based Image Retrieval is a technique of automatic indexing and retrieving of images from a large data base. Feature Extraction and Similarity Matching are the two major steps for CBIR Systems. Color, Texture and Shape represent the three visual features for any image. Mpeg-7 Stands for Multimedia Content Description Interface. The main objective of Mpeg-7 is to provide a standardized set of technologies for describing multimedia content. It has allowed quick and efficient content identification, and addressing a large range of applications. The visual descriptors are classi?ed according to the feature such as color, shape, texture, etc. This paper has used Color Structure Descriptor for color and Edge Histogram Descriptor for texture. These two features are also integrated to increase the performance of CBIR Systems. The efficiency of all methods are demonstrated with the help of results.

References
  1. Chih-Chin Lai, Member, IEEE, and Ying-Chuan Chen," A User-Oriented Image Retrieval System Based on Interactive Genetic Algorithm", IEEE transactions on instrumentation and measurement, vol. 60, no. 10, october 2011.
  2. Dr. D. S. Bormane Principal, RSCOE, ,Pune,India, Meenakshi Madugunki, Sonali Bhadoria, Dr. C. G. Dethe," Comparison of Different CBIR Techniques", 2011 IEEE Conference.
  3. C. Vertan, M. Zamfir, A. Drimbarean, , A. Zamfir ," MPEG-7 compliant generalized structure descriptor for still image indexing", 2011 IEEE International Conference .
  4. Wu Siqing; Xiong Gang, Wang Geng,Zhang Guoping Consumer Electronics," Digital-image retrieval based on shape-feature and MPEG-7 standard", 2011 International Conference .
  5. Jian-Hua Li, Ming-Sheng Liu, Ping Song," An novel modified extraction method of MPEG-7 visual descriptor for image retrieval",2010 IEEE Conference .
  6. Hong Shao, Jun Ji, Yan Kang, Hong Zhao," Application Research of Homogeneous Texture Descriptor in Content-Based Image Retrieval", 2009 IEEE Conference .
  7. S. Kiranyaz, S. Uhlmann, M. Gabbouj," Dominant Color Extraction Based on Dynamic Clustering by Multi-dimensional Particle Swarm Optimization", 2009 IEEE Conference .
  8. E. Acar, S. Arslan, A. Yazici, M. Koyuncu, "Slim-tree and BitMatrix index structures in image retrieval system using MPEG-7 Descriptors",2008 IEEE Conference .
  9. Aleksey Fadeev, Hichem Frigui ," Dominant Texture Descriptors For Image Classification and Retrieval" 2008 IEEE Conference .
  10. Ka-Man Wong, Lai-Man Po, and Kwok-Wai Cheung," Dominant Color Structure Descriptor For Image Retrieval" , 2007 IEEE Conference .
Index Terms

Computer Science
Information Sciences

Keywords

Content Based Image Retrieval Color Structure Descriptor(CSD) Edge Histogram Descriptor(EHD) MPEG-7