Title :
A Shape Ontology Framework for Bird Classification
Author :
Liu, Yuee ; Zhang, Jinglan ; Tjondronegoro, Dian ; Geve, Shlomo
Abstract :
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.
Keywords :
Animals; Art; Birds; Humans; Information technology; Ontologies; Shape; Support vector machine classification; Support vector machines; Thesauri;
Conference_Titel :
Digital Image Computing Techniques and Applications, 9th Biennial Conference of the Australian Pattern Recognition Society on
Conference_Location :
Glenelg, Australia
Print_ISBN :
0-7695-3067-2
DOI :
10.1109/DICTA.2007.4426835