• DocumentCode
    2941513
  • Title

    Perpetual video camera for Internet-of-things

  • Author

    Yen-Kuang Chen ; Shao-Yi Chien

  • Author_Institution
    Intel Corp., Santa Clara, CA, USA
  • fYear
    2012
  • fDate
    27-30 Nov. 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Digital sensing, processing, and communication capabilities will be ubiquitously embedded into everyday objects, turning them into an Internet-of-things (IoT, also known as, machine-to-machine, M2M). More importantly, everyday objects will become data generators, with sensors everywhere continuously collecting a large quantity of data about their context and use, processors everywhere analyzing and inferring useful knowledge from the data, and finally communication radios transmitting and exchanging useful knowledge with other objects and to “cloud” based resources. This is the next-generation Internet - rather than data mainly produced by humans and for humans, in the new machine-to-machine-era Internet, data are generated by machines (sensors), communicated without human involvement to other machines (servers or other computer systems) for automated processing to enable automated or human actions, driving speeds and scales unseen by the existing Internet. Distributed video cameras will play important roles in various IoT/M2M applications. To resolve the problems of high data rate, high power consumption, and large deployment cost of large-scale distributed video sensors, perpetual video cameras, where net energy consumption is almost zero, are required. Many technologies and design challenges are introduced for designing such cameras, such as energy harvesting, distributed video coding, distributed video analysis, and the associated VLSI designs. To bring up these issues and challenges, in this tutorial, we will provide (1) an overview of challenges/opportunities in M2M, (2) an introduction of distributed smart cameras in M2M applications, (3) the analysis of power consumption of distributed cameras, (4) an introduction of energy harvesting techniques, (5) distributed video coding and (6) distributed video analysis techniques, where both the state-of-the-art works and possible future research directions will be shown. Finally, we will conclude thi- tutorial with some possible applications.
  • Keywords
    Internet; Internet of Things; cloud computing; next generation networks; video cameras; video coding; Internet-of-Things; IoT; M2M communication; associated VLSI designs; cloud based resources; communication radios; data generators; digital sensing; distributed smart cameras; distributed video analysis; distributed video cameras; distributed video coding; energy harvesting techniques; high data rate; high power consumption; large-scale distributed video sensors; machine-to-machine communication; machine-to-machine-era Internet; net energy consumption; next-generation Internet; perpetual video camera; power consumption analysis; Internet-of-things; IoT; M2M; distributed smart camera; distributed video analysis; distributed video coding; energy harvesting; machine-to-machine; perpetual video camera;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing (VCIP), 2012 IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-4405-0
  • Electronic_ISBN
    978-1-4673-4406-7
  • Type

    conf

  • DOI
    10.1109/VCIP.2012.6410856
  • Filename
    6410856