Interactions for Seamlessly Coupled Exploration of High-Dimensional Images and Hierarchical Embeddings

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dc.contributor.authorVieth, Alexanderen_US
dc.contributor.authorLelieveldt, Boudewijnen_US
dc.contributor.authorEisemann, Elmaren_US
dc.contributor.authorVilanova, Annaen_US
dc.contributor.authorHöllt, Thomasen_US
dc.contributor.editorGuthe, Michaelen_US
dc.contributor.editorGrosch, Thorstenen_US
dc.date.accessioned2023-09-25T11:37:00Z
dc.date.available2023-09-25T11:37:00Z
dc.date.issued2023
dc.description.abstractHigh-dimensional images (i.e., with many attributes per pixel) are commonly acquired in many domains, such as geosciences or systems biology. The spatial and attribute information of such data are typically explored separately, e.g., by using coordinated views of an image representation and a low-dimensional embedding of the high-dimensional attribute data. Facing ever growing image data sets, hierarchical dimensionality reduction techniques lend themselves to overcome scalability issues. However, current embedding methods do not provide suitable interactions to reflect image space exploration. Specifically, it is not possible to adjust the level of detail in the embedding hierarchy to reflect changing level of detail in image space stemming from navigation such as zooming and panning. In this paper, we propose such a mapping from image navigation interactions to embedding space adjustments. We show how our mapping applies the "overview first, details-on-demand" characteristic inherent to image exploration in the high-dimensional attribute space. We compare our strategy with regular hierarchical embedding technique interactions and demonstrate the advantages of linking image and embedding interactions through a representative use case.en_US
dc.description.sectionheadersImage Visualization and Analysis
dc.description.seriesinformationVision, Modeling, and Visualization
dc.identifier.doi10.2312/vmv.20231227
dc.identifier.isbn978-3-03868-232-5
dc.identifier.pages63-70
dc.identifier.pages8 pages
dc.identifier.urihttps://doi.org/10.2312/vmv.20231227
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vmv20231227
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Interaction design; Visual analytics; Mathematics of computing → Dimensionality reduction
dc.subjectHuman
dc.subjectcentered computing → Interaction design
dc.subjectVisual analytics
dc.subjectMathematics of computing → Dimensionality reduction
dc.titleInteractions for Seamlessly Coupled Exploration of High-Dimensional Images and Hierarchical Embeddingsen_US
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