A COMPREHENSIVE CONTENT-BASED IMAGE RETRIEVAL SYSTEMS USING HADOOP MAPREDUCE FRAMEWORK

Abstract

As we are living in multimedia era, nowadays Internet has been heavily used for viewing, sharing and storing
collection of the videos and images. This results in huge amount of data. In user's point of view, different domains are facing
many problems with retrieving images that are relevant to their query. To solve these problems different techniques are
adopted. Significant work has been done in several issues of performance evaluation such as feature extraction, feature
matching, semantic gap reduction and similarity measurements. Based on the requirement of different applications and
current technologies, we retrieve, process and store the content based images. But, we are lacking techniques to process,
retrieve and store images faster. The Hadoop Map Reduce platform provides a system for large storage and computationally
intensive distributed processing when, it is used for Content-based Image Retrieval (CBIR) systems performance can be
improved compared to other retrieval systems