• DocumentCode
    509380
  • Title

    Ontology for the Object Recognition in Images

  • Author

    Zheng, Bin ; Huang, Lina ; Lu, Xinhai

  • Author_Institution
    Huazhong Univ. Sci. Technol., Wuhan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    18-20 Nov. 2009
  • Firstpage
    633
  • Lastpage
    636
  • Abstract
    Object reconstruction from images is an actual research topic in computer vision, photogrammetry and spatial information science. Ontology can provide all necessary support we needed for its natural language appearance and flexible hierarchy structure. However, most current relative studies on field ontology are deduced from philosophical theme and not applicable for the raster expression-which is actually a kind of field-like phenomenon but does not physically coincide to the general concept of philosophical field. That´s why we specifically discuss the pixel-based ontology in this paper. The discussion starts at the investigation of the physical characteristics of the pixel-based objects along with the processing of its compare to the philosophical field ontology terms. Then a unified pixel-based ontology framework for the recognition of the pixel-based objects is introduced, from which the connection of the human epistemology and the computer world is built for better knowledge discovery and sharing.
  • Keywords
    image recognition; image reconstruction; object detection; object recognition; object reconstruction; pixel-based objects; pixel-based ontology; Humans; Image storage; Information retrieval; Information security; Magnetic properties; Natural languages; Object recognition; Ontologies; Pixel; Spatial databases; Ontology; image; information sharing; object recognition; semantics; spatial epistemology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Information Networking and Security, 2009. MINES '09. International Conference on
  • Conference_Location
    Hubei
  • Print_ISBN
    978-0-7695-3843-3
  • Electronic_ISBN
    978-1-4244-5068-8
  • Type

    conf

  • DOI
    10.1109/MINES.2009.38
  • Filename
    5370139