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

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

Research output: Contribution to journalArticle

15 Scopus citations

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 laborintensive 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.

Original languageEnglish (US)
Pages (from-to)826-834
Number of pages9
JournalJournal of the American Society for Information Science
Volume50
Issue number9
DOIs
StatePublished - Jul 1999

ASJC Scopus subject areas

  • Engineering(all)

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