A natural language system for retrieval of captioned images

Elworthy, David; Russell-Rose, Tony; Clare, Amanda and Kotcheff, Aaron. 2001. A natural language system for retrieval of captioned images. Natural Language Engineering, 7(2), pp. 117-142. ISSN 1351-3249 [Article]
Copy

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.

visibility_off picture_as_pdf

picture_as_pdf
anvil02.pdf
subject
Accepted Version
lock
Restricted to Administrator Access Only
Available under Creative Commons: Attribution-NonCommercial-No Derivative Works 4.0


Atom BibTeX OpenURL ContextObject in Span OpenURL ContextObject Dublin Core Dublin Core MPEG-21 DIDL Data Cite XML EndNote HTML Citation METS MODS RIOXX2 XML Reference Manager Refer ASCII Citation
Export

Downloads