• DocumentCode
    2753440
  • Title

    Contextual Advertising for IPTV Using Automated Metadata Generation

  • Author

    Begeja, Lee ; Van Vleck, Paul

  • fYear
    2009
  • fDate
    10-13 Jan. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Current IPTV monetization focuses on mainstream programming that is well understood, with metadata that is stored in advance. Current contextual advertising is focused on web searches and static information. As the demand for online internet video grows into the IPTV market, the need to monetize it effectively becomes important. As the advertising market for IPTV expands into less mainstream video (e.g. YouTube and other user generated content) it becomes more important to automate the generation of metadata for the video The metadata associated with self-described YouTube videos are unreliable and can not be used as a basis for effective contextual advertising. Automatic generation, however, brings down the cost of creating metadata and gives advertisers a neutral party that evaluates the data. We propose a system in which a trusted intermediary automatically generates reliable metadata for multimedia.
  • Keywords
    IPTV; Internet; advertising; customer profiles; meta data; multimedia computing; IPTV monetization; Internet video; automated metadata generation; contextual advertising; mainstream programming; multimedia metadata; Advertising; Automatic programming; Costs; IPTV; Internet; MPEG 7 Standard; Streaming media; TV; Web search; YouTube;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference, 2009. CCNC 2009. 6th IEEE
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-2308-8
  • Electronic_ISBN
    978-1-4244-2309-5
  • Type

    conf

  • DOI
    10.1109/CCNC.2009.4784882
  • Filename
    4784882