A live multimedia stream querying system

  • Authors:
  • Bin Liu;Amarnath Gupta;Ramesh Jain

  • Affiliations:
  • Georgia Institute of Technology;University of California San Diego;University of California Irvine

  • Venue:
  • Proceedings of the 2nd international workshop on Computer vision meets databases
  • Year:
  • 2005

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Abstract

Querying live media streams captured by various sensors is becoming a challenging problem, due to the data heterogeneity and the lack of a unifying data model capable of accessing various multimedia data and providing reasonable abstractions for the query purpose. In this paper we propose a system that enables directly capturing media streams from sensors and automatically generating more meaningful feature streams that can be queried by a data stream processor. The system provides an effective combination between extendible digital processing techniques and general data stream management research.