• DocumentCode
    1580158
  • Title

    Organic Computing for Video Analysis

  • Author

    Würtz, Rolf P.

  • Author_Institution
    Ruhr-Univ., Bochum
  • fYear
    2007
  • Firstpage
    6
  • Lastpage
    11
  • Abstract
    The current interest in organic computing is also sustained by a notion of "organic" which relates to the user rather than the developer. In that aspect, organic computing requires that the interface between the IT system and the user be organic, intelligible, and friendly. This again imposes constraints on the user interfaces. On an abstract level, a recognition systems requires a data format for stored objects, a method to compare given images with those objects, and a method to turn the resulting similarities into a decision about the object\´s identity. For efficient application to real world data, the efficient organization of the object database and methods to presegment images and image sequences become important. The subsystems to perform these tasks can be designed by using the organic computing principles of "learning from nature" and "self-organization".
  • Keywords
    image segmentation; image sequences; object recognition; user interfaces; video signal processing; visual databases; image segmentation; image sequence; object database; object recognition system; organic computing; user interface; video analysis; Application software; Artificial neural networks; Cameras; Centralized control; Computer vision; Face recognition; Humans; Hybrid intelligent systems; Neurons; Videoconference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems, 2007. HIS 2007. 7th International Conference on
  • Conference_Location
    Kaiserlautern
  • Print_ISBN
    978-0-7695-2946-2
  • Type

    conf

  • DOI
    10.1109/HIS.2007.29
  • Filename
    4344019