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Multidimensional visualization to support analysis of image collections

  • Danilo M. Eler
  • , Marcel Y. Nakazaki
  • , Fernando V. Paulovich
  • , Davi P. Santos
  • , M. Cristina F. Oliveira
  • , João E.S.Batista Neto
  • , Rosane Minghim

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

Abstract

Multidimensional Visualization techniques are invaluable tools for analysis of structured and unstructured data with variable dimensionality. This paper introduces a methodology and a software tool called PEx-Image - Projection Explorer for Image for analysis and exploration of image collections employing visualizations. The visual mappings proposed here are similarity-based multidimensional projections and point placements, which layout the data on a plane for visual exploration. The proposed approach supports various image analysis tasks such as feature selection and classification, improving data exploration capabilities. We also illustrate how it can be successfully employed in simultaneous analysis of different data types, such as text and images, offering a common visual representation for data expressed in different modalities.

Original languageEnglish
Title of host publicationProceedings - 21st Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2008
Pages289-296
Number of pages8
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event21st Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2008 - Campo Grande, Brazil
Duration: 12 Oct 200815 Oct 2008

Publication series

NameProceedings - 21st Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2008

Conference

Conference21st Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2008
Country/TerritoryBrazil
CityCampo Grande
Period12/10/0815/10/08

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