Enhanced image annotations based on spatial information extraction and ontologies
Enhanced image annotations based on spatial information extraction and ontologies
Current research on image annotation often represents images in terms of labelled regions or objects, but pays little attention to the spatial positions or relationships between those regions or objects. To be effective, general purpose image retrieval systems require images with comprehensive annotations describing fully the content of the image. Much research is being done on automatic image annotation schemes but few authors address the issue of spatial annotations directly. This paper begins with a brief analysis of real picture queries to librarians showing how spatial terms are used to formulate queries. The paper is then concerned with the development of an enhanced automatic image annotation system, which extracts spatial information about objects in the image. The approach uses region boundaries and region labels to generate annotations describing absolute object positions and also relative positions between pairs of objects. A domain ontology and spatial information ontology are also used to extract more complex information about the relative closeness of objects to the viewer.
Muda, Zurina
8db47fa1-ffef-41a1-957f-b0eb0b26111e
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Payne, Terry R.
0bb13d45-2735-45a3-b72c-472fddbd0bb4
Weal, Mark
e8fd30a6-c060-41c5-b388-ca52c81032a4
Muda, Zurina
8db47fa1-ffef-41a1-957f-b0eb0b26111e
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Payne, Terry R.
0bb13d45-2735-45a3-b72c-472fddbd0bb4
Weal, Mark
e8fd30a6-c060-41c5-b388-ca52c81032a4
Muda, Zurina, Lewis, Paul H., Payne, Terry R. and Weal, Mark
(2009)
Enhanced image annotations based on spatial information extraction and ontologies.
IEEE International Conference On Signal & Image Processing 2009 (ICSIPA2009), , Kuala Lumpur, Malaysia.
18 - 19 Nov 2009.
(In Press)
Record type:
Conference or Workshop Item
(Other)
Abstract
Current research on image annotation often represents images in terms of labelled regions or objects, but pays little attention to the spatial positions or relationships between those regions or objects. To be effective, general purpose image retrieval systems require images with comprehensive annotations describing fully the content of the image. Much research is being done on automatic image annotation schemes but few authors address the issue of spatial annotations directly. This paper begins with a brief analysis of real picture queries to librarians showing how spatial terms are used to formulate queries. The paper is then concerned with the development of an enhanced automatic image annotation system, which extracts spatial information about objects in the image. The approach uses region boundaries and region labels to generate annotations describing absolute object positions and also relative positions between pairs of objects. A domain ontology and spatial information ontology are also used to extract more complex information about the relative closeness of objects to the viewer.
Text
icsipa09.pdf
- Accepted Manuscript
Text
94regID_23.pdf
- Version of Record
More information
Accepted/In Press date: 18 November 2009
Venue - Dates:
IEEE International Conference On Signal & Image Processing 2009 (ICSIPA2009), , Kuala Lumpur, Malaysia, 2009-11-18 - 2009-11-19
Identifiers
Local EPrints ID: 268390
URI: http://eprints.soton.ac.uk/id/eprint/268390
PURE UUID: b9cd9b13-90d8-49a0-8324-f9555e7c9fa5
Catalogue record
Date deposited: 16 Jan 2010 14:13
Last modified: 15 Mar 2024 02:46
Export record
Contributors
Author:
Zurina Muda
Author:
Paul H. Lewis
Author:
Terry R. Payne
Author:
Mark Weal
Download statistics
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