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Content Based Image Retrieval System over Hadoop Using MapReduce

Authors(5):

Nilesh Lohar, Dipankar Chavan, Sanjay Arade, Amol Jadhav, Deepti Chikmurge
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A huge amount of image data is generated everyday due to rapid evolution of image capturing devices. Information associated to images has got diversified applications. The medical imaging systems produce more and more digitized images in all medical fields. Most of these images are stored in image databases. There is a great interest to use them for diagnostic and clinical decision such as case-based reasoning. The purpose is to retrieve desired images from a large image databases using only the numerical content of images. CBIR system (Content-Based Image Retrieval) is one of the possible solutions to effectively manage image databases. Furthermore, fast access to such a huge database requires an efficient computing model. The Hadoop framework is one of the findings based on MapReduce distributed computing model. Lately, the MapReduce framework has emerged as one of the most widely used parallel computing platforms for processing data on terabyte and petabyte scales. It can able to provide a more accurate results to the users. Therefore we are introducing a new method for retrieving images called as “Implementation of CBIR over Hadoop using Map Reduce.”

Nilesh Lohar, Dipankar Chavan, Sanjay Arade, Amol Jadhav, Deepti Chikmurge

CBIR, Hadoop, MapReduce, HDFS, HBASE,Parallel computing,Distributed computing

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Publication Details

Published in : Volume 2 | Issue 1 | January-Febuary - 2016
Date of Publication Print ISSN Online ISSN
2016-02-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
123-125 IJSRSET162116   Technoscience Academy

Cite This Article

Nilesh Lohar, Dipankar Chavan, Sanjay Arade, Amol Jadhav, Deepti Chikmurge, "Content Based Image Retrieval System over Hadoop Using MapReduce", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 1, pp.123-125, January-Febuary-2016.
URL : http://ijsrset.com/IJSRSET162116.php

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