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Chabot: Retrieval from a Relational Database of Images (1995)
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BibTeX
@MISC{Ogle95chabot:retrieval,
author = {Virginia E. Ogle and Michael Stonebraker},
title = {Chabot: Retrieval from a Relational Database of Images},
year = {1995}
}
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Abstract
Chabot is a picture retrieval system for a database that will eventually include over 500,000 digitized multi-resolution images. We describe the design and construction of this system which uses the relational database management system POSTGRES for storing and managing the images and their associated textual data. For retrieval, Chabot uses tools provided by POSTGRES, such as representation of complex data types, a rich query language, and extensible types and functions. To implement retrieval from the current collection of 11,643 images, Chabot integrates the use of stored text and other data types with content-based analysis of the images to perform "concept queries". 1. Introduction The Chabot project was initiated at UC Berkeley to study storage and retrieval from a large collection of digitized images. The images we use belong to the State of California Department of Water Resources (DWR), the agency that oversees the system of reservoirs, aqueducts and water pumping stations th...
Keyphrases
relational database california department station th large collection complex data type relational database management system postgres textual data uc berkeley water resource extensible type multi-resolution image digitized image picture retrieval system content-based analysis chabot project stored text data type rich query language concept query current collection
