• DocumentCode
    382264
  • Title

    Real-time autonomous video enhancement system (RAVE)

  • Author

    Ablavsky, Vitaly ; Snorrason, Magnus ; Taylor, Colin J.

  • Author_Institution
    Charles River Analytics, Cambridge, MA, USA
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Abstract
    The ability to autonomously enhance low-quality or corrupted streaming video data is essential in a number of important civilian and defense scenarios. Applications include visual surveillance, motion picture restoration, and remote control of unmanned aerial vehicles. We have developed a prototype of RAVE: real-time autonomous video enhancement system. It consists of a suite of video artifact detection algorithms and corresponding correction algorithms. The system is autonomously controlled by an intelligent software agent. Our prototype has been successfully validated on several video sequences from different application domains and is being matured into a fully-functional, real-time embedded system.
  • Keywords
    embedded systems; image enhancement; image sequences; military computing; software agents; video signal processing; RAVE; autonomous control; correction algorithms; corrupted streaming video; intelligent software agent; motion picture restoration; real-time autonomous video enhancement system; real-time embedded system; remote control; unmanned aerial vehicles; video artifact detection algorithms; video sequences; visual surveillance; Application software; Detection algorithms; Motion control; Motion pictures; Prototypes; Real time systems; Software prototyping; Streaming media; Surveillance; Unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing. 2002. Proceedings. 2002 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-7622-6
  • Type

    conf

  • DOI
    10.1109/ICIP.2002.1039951
  • Filename
    1039951