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A live multimedia stream querying system
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Source ACM International Conference Proceeding Series; Vol. 160 archive
Proceedings of the 2nd international workshop on Computer vision meets databases table of contents
Baltimore, MD
SESSION: CVDB best student paper table of contents
Pages: 35 - 42  
Year of Publication: 2005
ISBN:1-59593-151-1
Authors
Bin Liu  Georgia Institute of Technology
Amarnath Gupta  University of California San Diego
Ramesh Jain  University of California Irvine
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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U. Ramachandran, M. Modahl, I. Bagrak, M. Wolenetz, D. Lillethun, B. Liu, J. Kim, P. Hutto, and R. Jain. Media broker: A pervasive computing infrastructure for adaptive transformation and sharing of stream data. To appear in Pervasive and Mobile Computing (PMC) Journal, 2, 2005.
 
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Collaborative Colleagues:
Bin Liu: colleagues
Amarnath Gupta: colleagues
Ramesh Jain: colleagues