An integrative semantic framework for image annotation and retrieval

OSMAN, T., THAKKER, D., SCHAEFER, G. and LAKIN, P., 2007. An integrative semantic framework for image annotation and retrieval. In: The 2007 IEEE/WIC/ACM International Conference on Web Intelligence, Fremont, CA, November 2007. IEEE, pp. 366-373. ISBN 9780769530260

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Abstract

Most public image retrieval engines utilise free-text search mechanisms, which often return inaccurate matches as they in principle rely on statistical analysis of query keyword recurrence in the image annotation or surrounding text. In this paper we present a semantically-enabled image annotation and retrieval engine that relies on methodically structured ontologies for image annotation, thus allowing for more intelligent reasoning about the image content and subsequently obtaining a more accurate set of results and a richer set of alternatives matchmaking the original query. Our semantic retrieval technology is designed to satisfy the requirements of the commercial image collections market in terms of both accuracy and efficiency of the retrieval process. We also present our efforts in further improving the recall of our retrieval technology by deploying an efficient query expansion technique.

Item Type: Chapter in book
Creators: Osman, T., Thakker, D., Schaefer, G. and Lakin, P.
Publisher: IEEE
Date: 2007
Identifiers:
NumberType
10.1109/WI.2007.69DOI
Rights: © Copyright 2007 IEEE - All rights reserved.
Divisions: Schools > School of Science and Technology
Depositing User: EPrints Services
Date Added: 09 Oct 2015 10:23
Last Modified: 09 Jun 2017 13:28
URI: http://irep.ntu.ac.uk/id/eprint/12217

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