Paper Key : IRJ************020
Author: Mohammed Arsalan Khan,Dhanraj Dhotre
Date Published: 01 Jun 2023
Abstract
There is a technique used for searching and retrieving images which is based on their visual content is called content based image retrieval (CBIR). The process involves extracting visual features from images and then comparing them with features of other images to find the best match. Convolutional Neural Networks (CNNs) have become a popular choice for extracting features from images because of its ability to automatically learn relevant features. CBIR systems that utilize CNNs have shown to outperform traditional methods in accuracy and efficiency. By combining the power of CNNs with CBIR, image search and retrieval systems can provide highly relevant results. It has a wide range of uses, which includes medical diagnosis, surveillance, and e-commerce. In this literature review we have tried to cover every possible techniques we can use for quick image retrieval based on traditional methods and new current age method. We have also discussed use of new technology for making an accurate CBIR system based on advantage technology called Deep Learning. For effective image retrieval from a database, we need to consider different techniques. Extensive research has been conducted in this area, and new techniques for CBIR systems are currently being developed.