Ontological Description of Image Content Using Regions Relationships
Ontological Description of Image Content Using Regions Relationships
Much initial research on image annotation pays little attention to the spatial relationships between regions. Annotations are most frequently assigned globally and even when assigned locally the extraction of such relations is often neglected. For rich semantic description of visual information, it is essential to capture such relations. The aim of this research is to attempt and enhance annotation systems, either through automatic or semi-automatic means, by capturing the spatial relationships between regions or objects in images and incorporating such knowledge in a knowledge base such as ontology. As part of a preliminary experiment, a comparative analysis of three existing tools has been performed and the result obtained. This research will contribute a new approach to automate image linking to an ontology based on regions with automatic spatial relationships extraction between the composite regions or objects in images, which reliable with images in the real world.
image, spatial relationships
46-50
Muda, Zurina
8db47fa1-ffef-41a1-957f-b0eb0b26111e
1 June 2008
Muda, Zurina
8db47fa1-ffef-41a1-957f-b0eb0b26111e
Muda, Zurina
(2008)
Ontological Description of Image Content Using Regions Relationships.
ESWC Phd Symposium, European Semantic Web Conference (ESWC2008)., Tenerife., Spain.
01 - 05 Jun 2008.
.
Record type:
Conference or Workshop Item
(Other)
Abstract
Much initial research on image annotation pays little attention to the spatial relationships between regions. Annotations are most frequently assigned globally and even when assigned locally the extraction of such relations is often neglected. For rich semantic description of visual information, it is essential to capture such relations. The aim of this research is to attempt and enhance annotation systems, either through automatic or semi-automatic means, by capturing the spatial relationships between regions or objects in images and incorporating such knowledge in a knowledge base such as ontology. As part of a preliminary experiment, a comparative analysis of three existing tools has been performed and the result obtained. This research will contribute a new approach to automate image linking to an ontology based on regions with automatic spatial relationships extraction between the composite regions or objects in images, which reliable with images in the real world.
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eswc_final(ZurinaMuda).pdf
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Published date: 1 June 2008
Additional Information:
Event Dates: 1-5 June 2008
Venue - Dates:
ESWC Phd Symposium, European Semantic Web Conference (ESWC2008)., Tenerife., Spain, 2008-06-01 - 2008-06-05
Keywords:
image, spatial relationships
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 266612
URI: http://eprints.soton.ac.uk/id/eprint/266612
PURE UUID: 8dbb1895-d577-44b2-88e5-8db9b02594e6
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Date deposited: 01 Sep 2008 11:10
Last modified: 14 Mar 2024 08:30
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Author:
Zurina Muda
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