Database Support for Knowledge-Based Image Evaluation.
Ingrid M. Walter, Peter C. Lockemann, Hans-Hellmut Nagel:
Database Support for Knowledge-Based Image Evaluation.
VLDB 1987: 3-11@inproceedings{DBLP:conf/vldb/WalterLN87,
author = {Ingrid M. Walter and
Peter C. Lockemann and
Hans-Hellmut Nagel},
editor = {Peter M. Stocker and
William Kent and
Peter Hammersley},
title = {Database Support for Knowledge-Based Image Evaluation},
booktitle = {VLDB'87, Proceedings of 13th International Conference on Very
Large Data Bases, September 1-4, 1987, Brighton, England},
publisher = {Morgan Kaufmann},
year = {1987},
isbn = {0-934613-46-X},
pages = {3-11},
ee = {db/conf/vldb/WalterLN87.html},
crossref = {DBLP:conf/vldb/87},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
The evaluation of images has to cope with vast amounts of raw data
usually acquired within short periods of time. This is especially true
for situations where sequences of images must be analyzed in order to
determine motions, more complex actions, or to interpret entire
processes comprising various combinations of actions. Database systems
will become an essential part of the support structure for image
evaluation systems in order to facilitate the management of raw data as well
as of intermediate and final results. This contribution introduces a
subproblem of image sequence evaluation, the extraction of so-called
episodes, i.e. actions of relatively high semantic complexity.
The extraction is based on a three-part database consisting of an object
section, a process section, and a rule section. The contribution describes
the abstraction level of episodes, introduces the system architecture of
an episode extraction system EPEX, develops a suitable data model for
the database of a case study of traffic scenes, determines its
implementation in terms of the relational data model, and finally discusses
the novel requirements that database systems must observe for image
evaluation applications.
Copyright © 1987 by the VLDB Endowment.
Permission to copy without fee all or part of this material is granted provided that the copies are not made or
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is by the permission of the Very Large Data Base
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a fee and/or special permission from the Endowment.
Online Paper
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BibTeX
Printed Edition
Peter M. Stocker, William Kent, Peter Hammersley (Eds.):
VLDB'87, Proceedings of 13th International Conference on Very Large Data Bases, September 1-4, 1987, Brighton, England.
Morgan Kaufmann 1987, ISBN 0-934613-46-X
Contents BibTeX
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A Compression Technique to Materialize Transitive Closure.
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- Rakesh Agrawal, Alexander Borgida, H. V. Jagadish:
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SIGMOD Conference 1989: 253-262
BibTeX
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