Validating a geographical image retrieval system

Bin Zhu, Hsinchun Chen

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

This paper summarizes a prototype geographical image retrieval system that demonstrates how to integrate image processing and information analysis techniques to support large-scale content-based image retrieval. By using an image as its interface, the prototype system addresses a troublesome aspect of traditional retrieval models, which require users to have complete knowledge of the low-level features of an image. In addition we describe an experiment to validate the performance of this image retrieval system against that of human subjects in an effort to address the scarcity of research evaluating performance of an algorithm against that of human beings. The results of the experiment indicate that the system could do as well as human subjects in accomplishing the tasks of similarity analysis and image categorization. We also found that under some circumstances texture features of an image are insufficient to represent a geographic image. We believe, however, that our image retrieval system provides a promising approach to integrating image processing techniques and information retrieval algorithms.

Original languageEnglish (US)
Pages (from-to)625-634
Number of pages10
JournalJournal of the American Society for Information Science and Technology
Volume51
Issue number7
DOIs
StatePublished - 2000

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Image retrieval
Image processing
Information analysis
Information retrieval
experiment
information retrieval
Textures
Experiments
performance
human being
Experiment
Prototype

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Validating a geographical image retrieval system. / Zhu, Bin; Chen, Hsinchun.

In: Journal of the American Society for Information Science and Technology, Vol. 51, No. 7, 2000, p. 625-634.

Research output: Contribution to journalArticle

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