• DocumentCode
    2723926
  • Title

    A Shape Ontology Framework for Bird Classification

  • Author

    Liu, Yuee ; Zhang, Jinglan ; Tjondronegoro, Dian ; Geve, Shlomo

  • fYear
    2007
  • fDate
    3-5 Dec. 2007
  • Firstpage
    478
  • Lastpage
    484
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/DICTA.2007.4426835
  • Filename
    4426835