Mobile Agents for Content-Based WWW Distributed Image Retrieval

TL;DR

This paper introduces a Java-based mobile agent framework for content-based image retrieval on the WWW, enhancing flexibility and scalability while achieving performance comparable or superior to existing methods.

Contribution

It proposes a novel mobile agent framework for distributed image retrieval that improves flexibility, scalability, and robustness over traditional applet-based approaches.

Findings

Performance is comparable to current methods.

In some cases, it outperforms existing approaches.

Framework demonstrates improved flexibility and scalability.

Abstract

At present, the de-facto standard for providing contents in the Internet is the World Wide Web. A technology, which is now emerging on the Web, is Content-Based Image Retrieval (CBIR). CBIR applies methods and algorithms from computer science to analyse and index images based on their visual content. Mobile agents push the flexibility of distributed systems to their limits since not only computations are dynamically distributed but also the code that performs them. The current commercial applet-based methodologies for accessing image database systems offer limited flexibility, scalability and robustness. In this paper the author proposes a new framework for content-based WWW distributed image retrieval based on Java-based mobile agents. The implementation of the framework shows that its performance is comparable to, and in some cases outperforms, the current approach.