• DocumentCode
    727472
  • Title

    GreenEyes: Networked energy-aware visual analysis

  • Author

    Baroffio, L. ; Cesana, M. ; Redondi, A. ; Tagliasacchi, M. ; Ascenso, J. ; Monteiro, P. ; Eriksson, E. ; Dan, G. ; Fodor, V.

  • Author_Institution
    DEIB, Politec. di Milano, Milan, Italy
  • fYear
    2015
  • fDate
    June 29 2015-July 3 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The GreenEyes project aims at developing a comprehensive set of new methodologies, practical algorithms and protocols, to empower wireless sensor networks with vision capabilities. The key tenet of this research is that most visual analysis tasks can be carried out based on a succinct representation of the image, which entails both global and local features, while it disregards the underlying pixel-level representation. Specifically, GreenEyes will pursue the following goals: i) energy-constrained extraction of visual features; ii) rate-efficiency modelling and coding of visual feature; iii) networking streams of visual features. This will have a significant impact on several scenarios including, e.g., smart cities and environmental monitoring.
  • Keywords
    feature extraction; image coding; image representation; power aware computing; wireless sensor networks; GreenEyes project; energy-aware visual analysis; environmental monitoring; image representation; rate-efficiency modelling; smart city; visual feature coding; visual feature extraction; wireless sensor network; Algorithm design and analysis; Cameras; Encoding; Feature extraction; Image coding; Visualization; Wireless sensor networks; Local Visual Features; Visual Analysis; Visual Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia & Expo Workshops (ICMEW), 2015 IEEE International Conference on
  • Conference_Location
    Turin
  • Type

    conf

  • DOI
    10.1109/ICMEW.2015.7169823
  • Filename
    7169823