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Visualisation and comparison of image collections based on self-organised maps

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Martin PurvisAuthors Info & Claims

ACSW Frontiers '04: Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32

Pages 97 - 102

Published: 01 January 2004 Publication History

Abstract

Self-organised maps (SOM) have been widely used for cluster analysis and visualisation purposes in exploratory data mining. In image retrieval applications, SOMs have been used to visualise high-dimensional feature space and build indexing structures. In this paper, we extend the use of SOMs for profiling and comparison of image collections, and present empirical results obtained in collection visualisation, visual and quantitative comparison of collections, and a prototype system implementation.

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Cited By

Schaefer G(2012)Interactive Browsing of Image RepositoriesProceedings of the International Conference on Computer Vision and Graphics - Volume 759410.5555/2942031.2942061(236-244)Online publication date: 24-Sep-2012
https://dl.acm.org/doi/10.5555/2942031.2942061
Roast CAnderson RBlau BZapolski J(2005)Viewing visual web site design in contextProceedings of the 2005 conference on Designing for User eXperience10.5555/1138235.1138253(15-es)Online publication date: 3-Nov-2005
https://dl.acm.org/doi/10.5555/1138235.1138253

Index Terms

Visualisation and comparison of image collections based on self-organised maps
1. Computer systems organization
  1. Architectures
    1. Other architectures
      1. Neural networks
2. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Object recognition
  2. Machine learning
    1. Learning paradigms
      1. Unsupervised learning
        Cluster analysis
    2. Machine learning approaches
      1. Neural networks

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cover image DL Hosted proceedings

ACSW Frontiers '04: Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32

January 2004

192 pages

Publisher

Australian Computer Society, Inc.

Australia

Publication History

Published: 01 January 2004

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ACSW Frontiers '04

ACSW Frontiers '04: Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation

01 01 2004

Dunedin, New Zealand

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Overall Acceptance Rate 204 of 424 submissions, 48%

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Cited By

Schaefer G(2012)Interactive Browsing of Image RepositoriesProceedings of the International Conference on Computer Vision and Graphics - Volume 759410.5555/2942031.2942061(236-244)Online publication date: 24-Sep-2012
https://dl.acm.org/doi/10.5555/2942031.2942061
Roast CAnderson RBlau BZapolski J(2005)Viewing visual web site design in contextProceedings of the 2005 conference on Designing for User eXperience10.5555/1138235.1138253(15-es)Online publication date: 3-Nov-2005
https://dl.acm.org/doi/10.5555/1138235.1138253

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