Mind the Gap: Another look at the problem of the semantic gap in image retrieval


Hare, Jonathon S., Lewis, Paul H., Enser, Peter G. B. and Sandom, Christine J. (2006) Mind the Gap: Another look at the problem of the semantic gap in image retrieval. At Multimedia Content Analysis, Management and Retrieval 2006, San Jose, California, USA, 17 - 19 Jan 2006. SPIE and IS&T, 607309-1.

Download

[img] PDF
Download (659Kb)

Description/Abstract

This paper attempts to review and characterise the problem of the semantic gap in image retrieval and the attempts being made to bridge it. In particular, we draw from our own experience in user queries, automatic annotation and ontological techniques. The first section of the paper describes a characterisation of the semantic gap as a hierarchy between the raw media and full semantic understanding of the media's content. The second section discusses real users' queries with respect to the semantic gap. The final sections of the paper describe our own experience in attempting to bridge the semantic gap. In particular we discuss our work on auto-annotation and semantic-space models of image retrieval in order to bridge the gap from the bottom up, and the use of ontologies, which capture more semantics than keyword object labels alone, as a technique for bridging the gap from the top down.

Item Type: Conference or Workshop Item (Speech)
Additional Information: Event Dates: 17-19 January
ISBNs: 081946113
ISSNs: 0277-786X
Keywords: Image retrieval, semantic gap, semantic space, user study, ontology
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
ePrint ID: 261887
Date Deposited: 01 Feb 2006
Last Modified: 27 Mar 2014 20:04
Further Information:Google Scholar
ISI Citation Count:4
URI: http://eprints.soton.ac.uk/id/eprint/261887

Actions (login required)

View Item View Item

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics