Sensor data fusion imposes a number of novel requirements on query languages and query processing techniques. A spatial/temporal query language called SIGMAQL has been proposed to support the retrieval and fusion of multimedia information from multiple sources and databases. In this paper we investigate fusion techniques, multimedia data transformations and SIGMAQL query processing techniques for sensor data fusion. Fusion techniques including fusion by the merge operation, the detection of moving objects, and the incorporation of belief values, have been developed. An experimental prototype has been implemented and tested to demonstrate the feasibility of these techniques.
Querying Distributed Multimedia Databases and Data Sources in Information Fusion Applications
COSTAGLIOLA, Gennaro;ORCIUOLI, Francesco
2004-01-01
Abstract
Sensor data fusion imposes a number of novel requirements on query languages and query processing techniques. A spatial/temporal query language called SIGMAQL has been proposed to support the retrieval and fusion of multimedia information from multiple sources and databases. In this paper we investigate fusion techniques, multimedia data transformations and SIGMAQL query processing techniques for sensor data fusion. Fusion techniques including fusion by the merge operation, the detection of moving objects, and the incorporation of belief values, have been developed. An experimental prototype has been implemented and tested to demonstrate the feasibility of these techniques.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
