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A natural language system for retrieval of captioned images

Published online by Cambridge University Press:  25 July 2001

DAVID ELWORTHY
Affiliation:
Canon Research Centre Europe, 1 Occam Court, Occam Road, Guildford GU2 5YJ, UK
TONY ROSE
Affiliation:
Canon Research Centre Europe, 1 Occam Court, Occam Road, Guildford GU2 5YJ, UK
AMANDA CLARE
Affiliation:
Canon Research Centre Europe, 1 Occam Court, Occam Road, Guildford GU2 5YJ, UK
AARON KOTCHEFF
Affiliation:
Canon Research Centre Europe, 1 Occam Court, Occam Road, Guildford GU2 5YJ, UK

Abstract

ANVIL is an information retrieval system using natural language processing techniques, intended for retrieval of captioned images. It extracts dependency structures from the image captions and user queries, and then applies a high accuracy matching algorithm which recursively explores the dependency structures to determine their similarity. A further algorithm allows additional contextual information to be extracted following a successful match, with the intention of helping users understand and organise the retrieval results. ANVIL was developed to high engineering standards, and as well as looking at the research aspects of the system, we also look at some of the design and development issues. English and Japanese versions of the system have been developed.

Type
Research Article
Copyright
© 2001 Cambridge University Press

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