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A collection of visual thesauri for browsing large collections of geographic images

by: Marshall C. Ramsey, Hsinchun Chen, Bin Zhu, and Bruce R. Schatz

In: Journal of the American Society for Information Science, Vol. 50 (2000) , p. 826-834.

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URL:	http://www3.interscience.wiley.com/cgi-bin/fulltext/62003216/PDFSTART
DOI:	10.1002/(SICI)1097-4571(1999)50:9{\textless

Digital libraries of geo-spatial multimedia content are currently deficient in providing fuzzy, concept-based retrieval mechanisms to users. The main challenge is that indexing and thesaurus creation are extremely labor-intensive processes for text documents and especially for images. Recently, 800,000 declassified satellite photographs were made available by the United States Geological Survey. Additionally, millions of satellite and aerial photographs are archived in national and local map libraries. Such enormous collections make human indexing and thesaurus generation methods impossible to utilize. In this article we propose a scalable method to automatically generate visual thesauri of large collections of geo-spatial media using fuzzy, unsupervised machine-learning techniques.

BibTeX record

@article{marshall_c._ramsey_collection_2000,
  abstract = {Digital libraries of geo-spatial multimedia content are currently deficient in providing fuzzy, concept-based retrieval mechanisms to users. The main challenge is that indexing and thesaurus creation are extremely labor-intensive processes for text documents and especially for images. Recently, 800,000 declassified satellite photographs were made available by the United States Geological Survey. Additionally, millions of satellite and aerial photographs are archived in national and local map libraries. Such enormous collections make human indexing and thesaurus generation methods impossible to utilize. In this article we propose a scalable method to automatically generate visual thesauri of large collections of geo-spatial media using fuzzy, unsupervised machine-learning techniques.},
  added-at = {2008-08-29T17:52:45.000+0200},
  author = {Ramsey, Marshall C. and Chen, Hsinchun and Zhu, Bin and Schatz, Bruce R.},
  biburl = {http://www.bibsonomy.org/bibtex/268cd4caadf07ac565f966e7e2e0dc572/paregorios},
  doi = {10.1002/(SICI)1097-4571(1999)50:9{\textless}826::AID-ASI11{\textgreater}3.0.CO;2-H},
  interhash = {bcbf600e463b17d7232ae70eebef0ada},
  intrahash = {68cd4caadf07ac565f966e7e2e0dc572},
  journal = {Journal of the American Society for Information Science},
  keywords = {geography images thesauri},
  pages = {826-834},
  timestamp = {2008-08-29T17:52:45.000+0200},
  title = {A collection of visual thesauri for browsing large collections of geographic images},
  url = {http://www3.interscience.wiley.com/cgi-bin/fulltext/62003216/PDFSTART},
  volume = 50,
  year = 2000
}

Endnote record

%0 Journal Article
%1 marshall_c._ramsey_collection_2000
%A Ramsey, Marshall C.
%A Chen, Hsinchun
%A Zhu, Bin
%A Schatz, Bruce R.
%D 2000
%J Journal of the American Society for Information Science
%K 
%P 826-834
%T A collection of visual thesauri for browsing large collections of geographic images
%R 10.1002/(SICI)1097-4571(1999)50:9{\textless}826::AID-ASI11{\textgreater}3.0.CO;2-H
%U http://www3.interscience.wiley.com/cgi-bin/fulltext/62003216/PDFSTART
%V 50
%X Digital libraries of geo-spatial multimedia content are currently deficient in providing fuzzy, concept-based retrieval mechanisms to users. The main challenge is that indexing and thesaurus creation are extremely labor-intensive processes for text documents and especially for images. Recently, 800,000 declassified satellite photographs were made available by the United States Geological Survey. Additionally, millions of satellite and aerial photographs are archived in national and local map libraries. Such enormous collections make human indexing and thesaurus generation methods impossible to utilize. In this article we propose a scalable method to automatically generate visual thesauri of large collections of geo-spatial media using fuzzy, unsupervised machine-learning techniques.

BibSonomy :: publication ::

A collection of visual thesauri for browsing large collections of geographic images

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Abstract

BibTeX record

Endnote record