Content based Image Retrieval System: A Review

Conference: Fifth International Conference on Emerging Trends in Engineering & Technology
Author(s): Radha Rani, Tarun Kumar Year: 2016
Grenze ID: 02.IETET.2016.5.26 Page: 147-149

Abstract

The paper presents a review on content based image retrieval system. Content Based image retrieval is a system by which various images are retrieved from a large database collection. These image databases are prepared using various visual features like color, texture, shape and spatial layout which are extracted using different techniques. The various classification algorithms like K-NN, Naïve byes are used for better performance. The precision rate can be improved by using similarity metric like Jaro winkler for strings similarity. In this paper we discuss the fundamental aspects, visual features and techniques for fast searching and retrieval of images from the database.

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IETET - 2016