Towards efficient multi-feature queries in heterogeneous environments

Applications like multimedia databases or enterprise-wide information management systems have to meet the challenge of efficiently retrieving the best-matching objects from vast collections of data. We present a new algorithm, called Stream-Combine, for processing multi-feature queries on heterogene...

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Bibliographic Details
Published in2001 International Conference on Information Technology: Coding and Computing (ITCC 2001) pp. 622 - 628
Main Authors Guntzer, J., Balke, W.-T., Kiessling, W.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2001
Subjects
Information retrieval
Information systems
Internet
Middleware
Multimedia databases
Portals
Search engines
Spatial databases
Speech recognition
Streaming media
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ISBN9780769510620
0769510620
DOI10.1109/ITCC.2001.918866

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Summary:Applications like multimedia databases or enterprise-wide information management systems have to meet the challenge of efficiently retrieving the best-matching objects from vast collections of data. We present a new algorithm, called Stream-Combine, for processing multi-feature queries on heterogeneous data sources. Stream-Combine is self-adapting to different data distributions and to the specific kind of the combining function. Furthermore, we present a new retrieval strategy that essentially speeds up the output of relevant objects.
ISBN:9780769510620
0769510620
DOI:10.1109/ITCC.2001.918866