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Reseach Article

State of Art Literature Survey on Content base Image Retrieval by Multi Features

Published on May 2013 by Arpita Mathur, Rajeev Mathur
International Conference on Recent Trends in Engineering and Technology 2013
Foundation of Computer Science USA
ICRTET - Number 1
May 2013
Authors: Arpita Mathur, Rajeev Mathur
9ba01679-717e-438c-a478-52b2b3668a12

Arpita Mathur, Rajeev Mathur . State of Art Literature Survey on Content base Image Retrieval by Multi Features. International Conference on Recent Trends in Engineering and Technology 2013. ICRTET, 1 (May 2013), 17-21.

@article{
author = { Arpita Mathur, Rajeev Mathur },
title = { State of Art Literature Survey on Content base Image Retrieval by Multi Features },
journal = { International Conference on Recent Trends in Engineering and Technology 2013 },
issue_date = { May 2013 },
volume = { ICRTET },
number = { 1 },
month = { May },
year = { 2013 },
issn = 0975-8887,
pages = { 17-21 },
numpages = 5,
url = { /proceedings/icrtet/number1/11761-1308/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Trends in Engineering and Technology 2013
%A Arpita Mathur
%A Rajeev Mathur
%T State of Art Literature Survey on Content base Image Retrieval by Multi Features
%J International Conference on Recent Trends in Engineering and Technology 2013
%@ 0975-8887
%V ICRTET
%N 1
%P 17-21
%D 2013
%I International Journal of Computer Applications
Abstract

Rapid growth of World Wide Web has increased the interest towards image retrieval. Different groups need to find a desired image from a collection. The users may require access to the images, based on primitive features, such as color, texture or shape, or associated text. The technology to access these images has also accelerated phenomenally. The current approaches are broad and inter-disciplinary, mainly focused on three aspects of image research which are text-based retrieval, content-based retrieval and interactive based image retrieval. Recently, Content-Based Image Retrieval (CBIR) has become an active research area. This paper gives the literature survey for CBIR which explains rapid growth in this field. It briefly discusses the work done by different researchers.

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Index Terms

Computer Science
Information Sciences

Keywords

Pattern Recognition Algorithms Machine Learning Image Processing Image Retrieval Content Based Image Retrieval Features Texture Shape Entropy Text Based Retrieval Interactive Based Image Retrieval