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Efficient Content based Image Retrieval System using Mpeg-7 Features

by Swapnalini Pattanaik, D. G. Bhalke
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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
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Index Terms

Computer Science
Information Sciences

Keywords

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

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