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A survey on Content based Image Retrieval using Vector Quantization

Published on May 2013 by Prerana Karnik, Nitin Shahane
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International Conference on Recent Trends in Engineering and Technology 2013
Foundation of Computer Science USA
ICRTET - Number 4
May 2013
Authors: Prerana Karnik, Nitin Shahane
10f97f97-3276-4253-99d9-1fccb990e866

Prerana Karnik, Nitin Shahane . A survey on Content based Image Retrieval using Vector Quantization. International Conference on Recent Trends in Engineering and Technology 2013. ICRTET, 4 (May 2013), 18-22.

@article{
author = { Prerana Karnik, Nitin Shahane },
title = { A survey on Content based Image Retrieval using Vector Quantization },
journal = { International Conference on Recent Trends in Engineering and Technology 2013 },
issue_date = { May 2013 },
volume = { ICRTET },
number = { 4 },
month = { May },
year = { 2013 },
issn = 0975-8887,
pages = { 18-22 },
numpages = 5,
url = { /proceedings/icrtet/number4/11786-1343/ },
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 Prerana Karnik
%A Nitin Shahane
%T A survey on Content based Image Retrieval using Vector Quantization
%J International Conference on Recent Trends in Engineering and Technology 2013
%@ 0975-8887
%V ICRTET
%N 4
%P 18-22
%D 2013
%I International Journal of Computer Applications
Abstract

Image retrieval and image compression are active field of research. But rare advances have been made to consider these both problems simultaneously. In this paper we present a survey on content based image retrieval based on vector quantization. Vector Quantization (VQ) is a technique usually used for data compression. But VQ is used as a feature descriptor for retrieving images. By harnessing the characteristics of VQ the retrieval technique can capture the spatial relationship among pixels. We discuss here several ways in which VQ has been used for content based image retrieval in the past.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Content Based Image Retrieval (cbir) Vector Quantization (vq) Linde-buzo-gray (lbg) Algorithm Image Compression Image Indexing Codebook (cb) Generation