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A Live Multimedia Stream Querying System


Bin Liu, Amarnath Gupta, and Ramesh Jain

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Return to Paper Session II: CVDB Best Student Paper


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.


©2006 Association for Computing Machinery