Utilising semantic technologies for intelligent indexing and retrieval of digital images

Osman, T ORCID: https://orcid.org/0000-0001-8781-2658, Thakker, D and Schaefer, G, 2013. Utilising semantic technologies for intelligent indexing and retrieval of digital images. Computing. ISSN 0010-485X

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Abstract

The proliferation of digital media has led to a huge interest in classifying and indexing media objects for generic search and usage. In particular, we are witnessing colossal growth in digital image repositories that are difficult to navigate using 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 is designed to satisfy the requirements of the commercial image collections market in terms of both accuracy and efficiency of the retrieval process. Our search engine 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. We also show how our well-analysed and designed domain ontology contributes to the implicit expansion of user queries as well as the exploitation of lexical databases for explicit semantic-based query expansion.

Item Type:	Journal article
Publication Title:	Computing
Creators:	Osman, T., Thakker, D. and Schaefer, G.
Publisher:	Springer
Date:	2013
ISSN:	0010-485X
Identifiers:	Number Type 10.1007/s00607-013-0350-0 DOI
Rights:	© 2013 Springer
Divisions:	Schools > School of Science and Technology
Record created by:	EPrints Services
Date Added:	09 Oct 2015 10:33
Last Modified:	09 Jun 2017 13:33
URI:	https://irep.ntu.ac.uk/id/eprint/14727

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