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Similarity-Based Operators and Query Optimization for Multimedia Database Systems (2001)
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| Venue: | In Proceedings of the International Database Engineering and Application Symposium |
| Citations: | 8 - 2 self |
BibTeX
@INPROCEEDINGS{Atnafu01similarity-basedoperators,
author = {Solomon Atnafu and Lionel Brunie and Harald Kosch},
title = {Similarity-Based Operators and Query Optimization for Multimedia Database Systems},
booktitle = {In Proceedings of the International Database Engineering and Application Symposium},
year = {2001},
pages = {346--355},
publisher = {IEEE Computer Society Press}
}
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Abstract
The many successful research results in the domain of computer vision have made similarity-based data retrieval techniques a promising approach. As a result, the integration of similarity-based retrieval techniques of multimedia data in to DBMSs is currently an active research issue. In this paper, we rst illustrate the importance of similarity-based operations. Then, we present our image data repository model that supports similarity-based operations conveniently under an object-relational database paradigm. Furthermore, we present novel similarity-based operators on image tables and study their properties. Finally, based on the properties of the operators identied, we derive algebraic rules that are useful for similarity-based query optimization and will introduce a cost model for an implementation of one of the major similarity based operators. 1. Motivation The use of low-level contents of multimedia data for its identication, storage and operation purpose has been one of the major issues of research in the last decade. As a result, a number of research prototypes, applications, and commercial systems that support low-level content manipulation have been developed [17, 3, 18, 14, 19]. These works practically demonstrated that, the need for an automatic extraction, classication, and manipulation of the content of multimedia data is of critical signicance for an ecient multimedia data management. The problem of extracting the content of an image and identifying the proper techniques for comparing whether two images are alike or not is more of a work in the eld of visual recognition. In this paper, we focus on the management of content-based 1 image databases. We considered images, because image data is the most common and the widely used media data. Moreover, ...
Keyphrases
query optimization similarity-based operator multimedia database system multimedia data similarity-based operation medium data low-level content image data last decade image data repository model image table image database computer vision visual recognition critical signicance ecient multimedia data management major similarity similarity-based query optimization commercial system low-level content manipulation cost model proper technique operation purpose automatic extraction similarity-based data retrieval similarity-based retrieval technique algebraic rule promising approach major issue many successful research result active research issue novel similarity-based operator object-relational database paradigm research prototype
