Abstract

Discusses problems in creating indices and thesauri for digital libraries of geo-spatial multimedia content and proposes a scalable method to automatically generate visual thesauri of large collections of geo-spatial media using fuzzy, unsupervised machine-learning techniques. Uses satellite photographs as examples and discusses texture-based thesauri creation and self-organizing maps. (Author/LRW)

Citation

Ramsey, M.C., Chen, H., Zhu, B. & Schatz, B.R. (1999). A Collection of Visual Thesauri for Browsing Large Collections of Geographic Images. Journal of the American Society for Information Science, 50(9), 826. Retrieved August 10, 2024 from https://www.learntechlib.org/p/87426/.

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Keywords

• Electronic Libraries
• Indexing
• Maps
• Multimedia Materials
• Photographs
• Satellites (Aerospace)
• Thesauri
• Visualization