Image retrieval using compact Binary signatures

Abstract

Significant research has focused on determining efficient methodologies for retrieving images from large image databases. The thesis addresses the concept of new image abstraction technique based on compact binary signatures. The enormous growth of image archives has significantly increased the demand for research efforts aimed at efficiently finding similar images within large image databases. Though there are a number of image retrieval techniques available like image retrieval using M Band Wavelet Transform, Object based image indexing and so on not all of them are efficient in most cases. These are not efficient in terms of time and space efficiency.

I.INTROUCTION

Introduction part mainly deals with thefollowing:
1) Basics of image retrieval.
2) Different types of image retrieval techniques.
3) Color space models.

A. Image retrieval :

An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, or descriptions to the images so thatretrieval can be performed over the annotation words.Manual image annotation is time-consuming,laborious and expensive; to address this, there hasbeen a large amount of research done on automaticimage annotation. Additionally, the increase in socialweb applications and the semantic web have inspiredthe development of several web-based imageannotation tools.

In image retrieval system features are extracted froma given query image which are then used forcomparing with the features of other images stored indatabase. In the proposed signature technique animage’s signature bi string referred as signature is anabstract representation of the color distribution of animage by bit stings of a predetermined size. Toprocess a query all the image signatures arecompared against the signature of query image usinga well defined similarity metric. The candidateimages are then retrieved and ranked according totheir similarity with query image.

Image retrieval using compact Binary signatures