2005 IEEE International Conference on Multimedia and Expo Approximating the selectivity of multimedia range queries Amsterdam, Netherlands July 06-July 06 ISBN: 0-7803-9331-7
This paper introduces a new approach of approximating the selectivity of multimedia range queries. Estimating the selectivity of a range query is a pre-requisite to optimize a multimedia database query. We use the DBSCAN clustering technique for finding high density areas in the data set. Then, the selectivity is approximated with the help of a density function in combination with the volume of the query's hyper sphere. Our approach is fast and accurate which was evaluated on an image data set using the MPEG-7 scalable color descriptor. The technique is integrated with the help of the extensible optimizer architecture in the Oracle multimedia database system.
Index Terms:
selectivity approximation, image database query, DBSCAN clustering technique, MPEG-7, scalable color descriptor, Oracle multimedia database system, extensible optimizer architecture
Citation:
M. Doller, H. Kosch, "Approximating the selectivity of multimedia range queries," icme, pp.4 pp., 2005 IEEE International Conference on Multimedia and Expo, 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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