Paper Title
Survey On Content Based Image Retrieval Using Map reduce Over Hadoop
Abstract
In this paper a survey on content based image retrieval using mapreduce over hadoop presented. Now a day, huge
amount of data, in the form of images, is produced through twitter, mobile phones and facebook. A large part of this data is
stored in online repositories. With digital explosion of image databases over internet pose challenges to retrieve images that
are relevant to user query efficiently and accurately. In earlier systems, images were searched by the tags or keywords or
description assigned to them wherein if an image is wrongly described, querying image search will not result in the required
image. It becomes increasingly important to develop new CBIR techniques that are effective and scalable for real time
processing of very large image collections.
Keywords- Hadoop HDFS, Map-Reduce, CBIR.
Author - Kusuma.B, Megha.P.Arakeri
Published : Volume-2,Issue-12 ( Dec, 2015 )
DOIONLINE Number - IJAECS-IRAJ-DOIONLINE-3515
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Published on 2015-12-29 |
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