• DocumentCode
    598012
  • Title

    Event-driven video coding for outdoor wireless monitoring cameras

  • Author

    Zichong Chen ; Barrenetxea, Guillermo ; Vetterli, Martin

  • Author_Institution
    Sch. of Comput. & Commun. Sci., Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    1121
  • Lastpage
    1124
  • Abstract
    Reducing communication cost is crucial for outdoor wireless monitoring cameras which are constrained by limited energy budgets. From event detection point of view, traditional video coding schemes such as H.264 are inefficient as they ignore the “meaning” of video content and thus waste many bits to convey irrelevant information. To take advantage of the powerful computing resource on cameras, we propose a novel event-driven video coding scheme. Unlike previous approach that attempts to find anomalous image frame with potential events, we propose to detect salient regions in each image and transmit the image fragments marked with saliency to the receiver. This scheme rarely drops an event as it transmits all image fragments with potential events, and also requires no training procedure. The experimental results show that it performs substantially better than conventional video coding schemes for outdoor monitoring task.
  • Keywords
    cameras; object detection; radiotelemetry; video coding; H.264; communication cost reduction; event detection point; event-driven video coding scheme; image fragments; image frame; limited energy budgets; outdoor wireless monitoring cameras; salient region detection; Cameras; Image coding; Image edge detection; Monitoring; Streaming media; Transform coding; Video coding; event-driven; outdoor monitoring; saliency map; video coding; wireless camera;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2012 19th IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4673-2534-9
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2012.6467061
  • Filename
    6467061