A Live Multimedia Stream Querying System

Bin Liu (awardee), Georgia Institute of Technology
Amarnath Gupta, University of California San Diego
Ramesh Jain, University of California Irvine

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.