Browsing Abstract Art by Appearance

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we describe an innovative browsing system that improves on the navigation of a large set of objects which are either difficult to label or categorize. We use a two-stage process to obtain similarity information from humans, which then becomes the core of the system, this perceptual information is then used to create a resizable self-organizing map which comprises a matrix of image stacks that provides a fast, intuitive and highly visual navigation environment. We report the methods used to obtain the similarity data from observer to derive the navigation system and illustrate this with an example from the abstract art domain.
Original languageEnglish
Title of host publicationPredicting Perceptions: The 3rd International Conference on Appearance
Place of PublicationEdinburgh
Number of pages3
Publication statusPublished - 2012

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Navigation
Self organizing maps
Navigation systems
Labels

Keywords

  • Navigation
  • Similarity
  • Appearance
  • Web
  • Tool
  • Visualization
  • Art
  • Abstract
  • Browsing

Cite this

Padilla, S., Robb, D., Halley, F., & Chantler, M. J. (2012). Browsing Abstract Art by Appearance. In Predicting Perceptions: The 3rd International Conference on Appearance Edinburgh.
Padilla, S. ; Robb, D. ; Halley, F. ; Chantler, M.J. / Browsing Abstract Art by Appearance. Predicting Perceptions: The 3rd International Conference on Appearance. Edinburgh, 2012.
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title = "Browsing Abstract Art by Appearance",
abstract = "In this paper we describe an innovative browsing system that improves on the navigation of a large set of objects which are either difficult to label or categorize. We use a two-stage process to obtain similarity information from humans, which then becomes the core of the system, this perceptual information is then used to create a resizable self-organizing map which comprises a matrix of image stacks that provides a fast, intuitive and highly visual navigation environment. We report the methods used to obtain the similarity data from observer to derive the navigation system and illustrate this with an example from the abstract art domain.",
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author = "S. Padilla and D. Robb and F. Halley and M.J. Chantler",
year = "2012",
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isbn = "147166869X",
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}

Padilla, S, Robb, D, Halley, F & Chantler, MJ 2012, Browsing Abstract Art by Appearance. in Predicting Perceptions: The 3rd International Conference on Appearance. Edinburgh.

Browsing Abstract Art by Appearance. / Padilla, S.; Robb, D.; Halley, F.; Chantler, M.J.

Predicting Perceptions: The 3rd International Conference on Appearance. Edinburgh, 2012.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Browsing Abstract Art by Appearance

AU - Padilla, S.

AU - Robb, D.

AU - Halley, F.

AU - Chantler, M.J.

PY - 2012

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N2 - In this paper we describe an innovative browsing system that improves on the navigation of a large set of objects which are either difficult to label or categorize. We use a two-stage process to obtain similarity information from humans, which then becomes the core of the system, this perceptual information is then used to create a resizable self-organizing map which comprises a matrix of image stacks that provides a fast, intuitive and highly visual navigation environment. We report the methods used to obtain the similarity data from observer to derive the navigation system and illustrate this with an example from the abstract art domain.

AB - In this paper we describe an innovative browsing system that improves on the navigation of a large set of objects which are either difficult to label or categorize. We use a two-stage process to obtain similarity information from humans, which then becomes the core of the system, this perceptual information is then used to create a resizable self-organizing map which comprises a matrix of image stacks that provides a fast, intuitive and highly visual navigation environment. We report the methods used to obtain the similarity data from observer to derive the navigation system and illustrate this with an example from the abstract art domain.

KW - Navigation

KW - Similarity

KW - Appearance

KW - Web

KW - Tool

KW - Visualization

KW - Art

KW - Abstract

KW - Browsing

M3 - Conference contribution

SN - 147166869X

BT - Predicting Perceptions: The 3rd International Conference on Appearance

CY - Edinburgh

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Padilla S, Robb D, Halley F, Chantler MJ. Browsing Abstract Art by Appearance. In Predicting Perceptions: The 3rd International Conference on Appearance. Edinburgh. 2012