• DocumentCode
    605883
  • Title

    Image ontology

  • Author

    Tazi, S.N. ; Dubey, A.K. ; Jain, Vinesh ; Rathi, Rahul

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Technol., Gov. Eng. Coll., Ajmer, India
  • fYear
    2013
  • fDate
    25-26 March 2013
  • Firstpage
    564
  • Lastpage
    569
  • Abstract
    In image ontology we study the human thought about the images and there action (appropriate experiment) to the images. This is the area where the literature is done through the help of Google doc Questioner and online with offline voting system. We create 10 question mostly to the general thought of human about to the image and find out the response from different people (e.g. from an image the human body can think generally, how this image object is captured and segmented as well as situation). This type of thought /idea linked to image is captured through the human research via different manner (i.e., Google doc or viva etc). The output or concluding remark of survey opens the new era of research to image processing. In this article, we have given the standard definition of “image ontology”, we also high light the advantage and limitation of IO regarding their future scope. For presenting of survey result we use the graphical representation and tabulated marking. The concluding remark of paper is focus to new era of inventory. Finally we gave the future scope of them.
  • Keywords
    image segmentation; ontologies (artificial intelligence); IO; graphical representation; image object capturing; image object segmentation; image ontology; image processing; tabulated marking; Art; Computer science; Google; Image processing; Ontologies; Real-time systems; Semantics; IO; TMA; human view; image gap; images; theoretical computer science;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Computing, Communication and Nanotechnology (ICE-CCN), 2013 International Conference on
  • Conference_Location
    Tirunelveli
  • Print_ISBN
    978-1-4673-5037-2
  • Type

    conf

  • DOI
    10.1109/ICE-CCN.2013.6528563
  • Filename
    6528563