Predictive Data Stream Filtering

  • Authors:
  • Jun Li;Wenyu Zang;Jianlong Tan;Peng Zhang

  • Affiliations:
  • -;-;-;-

  • Venue:
  • WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
  • Year:
  • 2011

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Abstract

In multimedia stream matching applications, user experience is becoming more and more important. In this paper, we study the problem of predictive stream matching, where a large number of queries are evaluated before the actual stream data arrive. This is equivalent to developing predictive algorithms for the filters registered on data streams. To this end, We propose to efficiently order the pipeline filters in multimedia streams under the Marko assumption. Our experimental evaluations validate that our predictive data stream filtering framework is able to provide an efficient solution for evaluating large number of queries on streams.