Image Organization and Retrieval with Automatically Constructed Feature Vectors.

Kyung-Ah Han, Sung-Hyon Myaeng: Image Organization and Retrieval with Automatically Constructed Feature Vectors. SIGIR 1996: 157-165

@inproceedings{DBLP:conf/sigir/HanM96,
  author    = {Kyung-Ah Han and
               Sung-Hyon Myaeng},
  editor    = {Hans-Peter Frei and
               Donna Harman and
               Peter Sch{\"a}uble and
               Ross Wilkinson},
  title     = {Image Organization and Retrieval with Automatically Constructed
               Feature Vectors},
  booktitle = {Proceedings of the 19th Annual International ACM SIGIR Conference
               on Research and Development in Information Retrieval, SIGIR'96,
               August 18-22, 1996, Zurich, Switzerland (Special Issue of the
               SIGIR Forum)},
  publisher = {ACM},
  year      = {1996},
  isbn      = {0-89791-792-8},
  pages     = {157-165},
  ee        = {db/conf/sigir/HanM96.html},
  crossref  = {DBLP:conf/sigir/96},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

Retrieving images based on their contents is a difficult problem. Instead of using manually assigned content descriptors for retrieval, we take an approach where images are indexed and organized automatically so that the users can retrieve images by visually browsing the organized image space. For image indexing, the objects in an image are first analyzed for their shape features such as roundness, rectangularity, elipticity, eccentricity, bending energy. These features are used to form a feature vector that represents the image. Subsequently, the feature vectors representing all the images in a image database are organized by a unsupervised neural net learning algorithm called Self-Organizing Map. Since this image feature map reflects the statistical patterns, i.e., the inter-similarities of the objects, the relationships among the images can be recognized by their location, neighborhood, and the way the map is organized. For the feasibdity and practicality of the approach, a prototype system has been developed and tested with some experiments.

Copyright © 1996 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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BibTeX

Printed Edition

Hans-Peter Frei, Donna Harman, Peter Schäuble, Ross Wilkinson (Eds.): Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'96, August 18-22, 1996, Zurich, Switzerland (Special Issue of the SIGIR Forum). ACM 1996, ISBN 0-89791-792-8
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