Multi-modal information retrieval using FINT

Authors:
Menno van Zaanen;Guido de Croon
Affiliations:
ILK, Tilburg University, the Netherlands;Department of Computer Science, Universiteit Maastricht, the Netherlands
Venue:
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Year:
2004

Citing 3
Cited 0

Mysql Reference Manual

Mysql Reference Manual
EMPATH: A Neural Network that Categorizes Facial Expressions

Journal of Cognitive Neuroscience
The CLEF 2004 cross-language image retrieval track

CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this article, we describe the FINT system, which stands for Find Images aNd Text. This system is built in the context of the VindIT project, which focuses on handling large amounts of multi-media data. The system described here iteratively searches through a multi-media database by computing distances between the data entries (images and text). From each entry, a feature vector is computed. Distances between database entries are computed using a weighted version of their corresponding feature vector and entries similar to the initial search query are selected based on these distances. Here, we will describe the system and settings that were used in the medical retrieval task of the ImageCLEF 2004 competition.