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https://doi.org/10.1109/cimca....
Article . 2008 . Peer-reviewed
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DBLP
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The Inner Structure of Database for the CBIR System

Authors: Tatiana Jaworska;

The Inner Structure of Database for the CBIR System

Abstract

In this article we focus on the presentation of the inner structure of the database for the content-based image retrieval (CBIR) system containing house images. The part devoted to image processing is signalled to the extent necessary for further database (DB) structure explanations to the reader. In this paper standard DB project methods in the Oracle 10 g system have been used to generate a database for storage and retrieval of house images. The main body of the article covers the DB description and explanation of the information flow between Oracle and Matlab. For our system, Matlab is applied in image preprocessing as well as retrieval of images, which are answers to user's queries.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average