Focus+context exploration of hierarchical embeddings

Journal Article (2019)
Author(s)

T. Höllt (Leiden University Medical Center, TU Delft - Computer Graphics and Visualisation)

A. Vilanova Bartroli (TU Delft - Computer Graphics and Visualisation)

N Pezzotti (TU Delft - Computer Graphics and Visualisation)

Boudewijn P F Lelieveldy (Leiden University Medical Center)

H. Hauser (TU Delft - Computer Graphics and Visualisation, Mohn Medical Imaging and Visualization Center, University of Bergen)

Research Group
Computer Graphics and Visualisation
Copyright
© 2019 T. Höllt, A. Vilanova Bartroli, N. Pezzotti, B.P.F. Lelieveldt, H. Hauser
DOI related publication
https://doi.org/10.1111/cgf.13711
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 T. Höllt, A. Vilanova Bartroli, N. Pezzotti, B.P.F. Lelieveldt, H. Hauser
Research Group
Computer Graphics and Visualisation
Issue number
3
Volume number
38
Pages (from-to)
569-579
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Abstract

Hierarchical embeddings, such as HSNE, address critical visual and computational scalability issues of traditional techniques for dimensionality reduction. The improved scalability comes at the cost of the need for increased user interaction for exploration. In this paper, we provide a solution for the interactive visual Focus+Context exploration of such embeddings. We explain how to integrate embedding parts from different levels of detail, corresponding to focus and context groups, in a joint visualization. We devise an according interaction model that relates typical semantic operations on a Focus+Context visualization with the according changes in the level-of-detail-hierarchy of the embedding, including also a mode for comparative Focus+Context exploration and extend HSNE to incorporate the presented interaction model. In order to demonstrate the effectiveness of our approach, we present a use case based on the visual exploration of multi-dimensional images.