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2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
Predictive Data Stream Filtering
Lyon, France
August 22-August 27
ISBN: 978-0-7695-4513-4
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.
Index Terms:
Data Stream, Query, Predictive Filtering
Citation:
Jun Li, Wenyu Zang, Jianlong Tan, Peng Zhang, "Predictive Data Stream Filtering," wi-iat, vol. 3, pp.237-240, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2011
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