Contextual advertising for IPTV using automated metadata generation

  • Authors:
  • Lee Begeja;Paul Van Vleck

  • Affiliations:
  • AT&T Labs;AT&T Labs

  • Venue:
  • CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
  • Year:
  • 2009

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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.