A shape ontology framework for bird classification
Current research on shape based classification has been generally aimed at utilising various visual features. Previous research has shown that the existing knowledge in a specific domain can assist in understanding the image content. Ontologies are currently being used for explicit representation of the domain knowledge. In this paper, two contributions are presented: 1) a shape ontology framework which constitutes both domain and shape ontologies and in which domain and shape ontologies are mapped to each other. 2) A new approach for automatic construction of shape ontology. The experimental results are promising. Future work will focus on validating the framework and automatic method of the shape ontology construction for a much larger dataset.
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|Item Type:||Conference Paper|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)|
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
|Divisions:||Current > Research Centres > Centre for Tropical Crops and Biocommodities|
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > School of Information Systems
|Copyright Owner:||Copyright 2007 (please consult authors)|
|Deposited On:||17 Oct 2007|
|Last Modified:||29 Feb 2012 23:34|
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