A Miniature-Based Image Retrieval System

TL;DR

This paper introduces a content-based image retrieval system that uses DCT features for efficient searching of similar images, demonstrating improved performance over existing methods.

Contribution

It presents a novel image indexing technique based on DCT features that enhances search efficiency and accuracy for web images.

Findings

Outperforms existing image retrieval techniques

Uses DCT features for effective image indexing

Demonstrates superior search accuracy

Abstract

Due to the rapid development of World Wide Web (WWW) and imaging technology, more and more images are available in the Internet and stored in databases. Searching the related images by the querying image is becoming tedious and difficult. Most of the images on the web are compressed by methods based on discrete cosine transform (DCT) including Joint Photographic Experts Group(JPEG) and H.261. This paper presents an efficient content-based image indexing technique for searching similar images using discrete cosine transform features. Experimental results demonstrate its superiority with the existing techniques.