• DocumentCode
    3449891
  • Title

    Automatic knowledge construction of scene composition using object categorization on images

  • Author

    Kikuchi, Go ; Kasai, Hiroyuki

  • Author_Institution
    Univ. of Electro-Commun., Chofu, Japan
  • fYear
    2012
  • fDate
    13-16 Jan. 2012
  • Firstpage
    145
  • Lastpage
    146
  • Abstract
    This paper proposes a method to construct the scene composition of an event, a place and a situation by learning appearance pattern of objects in them. We recognize objects inside an image, and extract representative patterns based by analyzing the appearance combination of object in a large amount of images. Preliminary experiment shows that the proposal can create knowledge of scene composition with no contradiction and gives unfamiliar insights for the scene1.
  • Keywords
    feature extraction; learning (artificial intelligence); object recognition; appearance pattern learning; automatic knowledge construction; image object categorization; object recognition; representative pattern extract; scene composition; Image color analysis; Image recognition; Learning systems; Object recognition; Proposals; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ICCE), 2012 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    2158-3994
  • Print_ISBN
    978-1-4577-0230-3
  • Type

    conf

  • DOI
    10.1109/ICCE.2012.6161781
  • Filename
    6161781
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3449891