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}
}

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 distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.

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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

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