An Approach to Image Retrieval from Large Image Databases.

Fausto Rabitti, Peter L. Stanchev: An Approach to Image Retrieval from Large Image Databases. SIGIR 1987: 284-295

@inproceedings{DBLP:conf/sigir/RabittiS87,
  author    = {Fausto Rabitti and
               Peter L. Stanchev},
  title     = {An Approach to Image Retrieval from Large Image Databases},
  booktitle = {Proceedings of the Tenth Annual International ACM SIGIR Conference
               on Research and Development in Information Retrieval, New Orleans,
               Louisiana, USA, June 3-5, 1987},
  publisher = {ACM},
  year      = {1987},
  pages     = {284-295},
  ee        = {db/conf/sigir/RabittiS87.html},
  crossref  = {DBLP:conf/sigir/87},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

In this paper we address the problem of retrieving images from large image data bases, giving a partial description of the image content. This approach allows a limited automatic analysis for image belonging to a domain described in advance to the system using a formalism based on fuzzy sets. The image query processing is based on special access structures generated from the image analysis process.

Copyright © 1987 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

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Proceedings of the Tenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, New Orleans, Louisiana, USA, June 3-5, 1987. ACM 1987
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