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Lyon
Aug. 22, 2011 to Aug. 27, 2011
ISBN: 978-1-4577-1373-6
pp: 237-240
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.
INDEX TERMS
Data Stream, Query, Predictive Filtering
CITATION
Wenyu Zang, Jun Li, Peng Zhang, "Predictive Data Stream Filtering", WI-IAT, 2011, 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies, 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies 2011, pp. 237-240, doi:10.1109/WI-IAT.2011.95
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