We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …

In line with the popularity of the Internet and the development of search engine, users
request information through web-based services. Although general-purpose searching such …

In this paper, we propose mobile access to peer-reviewed medical information based on
textual search and content-based visual image retrieval. Web-based interfaces designed for …

Medical image retrieval can assist physicians in finding information supporting their
diagnosis and fulfilling information needs. Systems that allow searching for medical images …

We evaluate three different relevance feedback (RF) algorithms, Rocchio, Robertson/Sparck-
Jones (RSJ) and Bayesian, in the context of Web search. We use a target-testing …

Abstract The World Wide Web (WWW) has become the most popular place to collect
information. However the exponential growth in the size of the WWW makes it difficult for …

In this dissertation, we study the problem of how search engines can be improved by making
use of classification. Given a user query, traditional search engines output a list of results …

In this paper we examine the performance of both ranked-listed and categorized results in
the context of known-item search (target testing). Performance of known-item search is easy …

This paper proposes the implementation of a content-based image retrieval system that uses
MPEG-7 color image descriptors, integrated into a medical record database. The system …

Most image search systems rely on text-based retrieval. It is often challenging for users to
describe their search intents by describing images using keywords; these may lead to …