Organic Narrative Charts

dc.contributor.authorBolte, Fabianen_US
dc.contributor.authorBruckner, Stefanen_US
dc.contributor.editorWilkie, Alexander and Banterle, Francescoen_US
dc.date.accessioned2020-05-24T13:43:15Z
dc.date.available2020-05-24T13:43:15Z
dc.date.issued2020
dc.description.abstractStoryline visualizations display the interactions of groups and entities and their development over time. Existing approaches have successfully adopted the general layout from hand-drawn illustrations to automatically create similar depictions. Ward Shelley is the author of several diagrammatic paintings that show the timeline of art-related subjects, such as Downtown Body, a history of art scenes. His drawings include many stylistic elements that are not covered by existing storyline visualizations, like links between entities, splits and merges of streams, and tags or labels to describe the individual elements. We present a visualization method that provides a visual mapping for the complex relationships in the data, creates a layout for their display, and adopts a similar styling of elements to imitate the artistic appeal of such illustrations.We compare our results to the original drawings and provide an open-source authoring tool prototype.en_US
dc.description.sectionheadersVisualisation / NPR
dc.description.seriesinformationEurographics 2020 - Short Papers
dc.identifier.doi10.2312/egs.20201026
dc.identifier.isbn978-3-03868-101-4
dc.identifier.issn1017-4656
dc.identifier.pages93-96
dc.identifier.urihttps://doi.org/10.2312/egs.20201026
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egs20201026
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.subjectApplied computing
dc.subjectFine arts
dc.subjectHuman centered computing
dc.subjectInformation visualization
dc.subjectGraph drawings
dc.titleOrganic Narrative Chartsen_US
Files
Original bundle
Now showing 1 - 3 of 3
Loading...
Thumbnail Image
Name:
093-096.pdf
Size:
2.87 MB
Format:
Adobe Portable Document Format
No Thumbnail Available
Name:
application.zip
Size:
918.58 KB
Format:
Zip file
No Thumbnail Available
Name:
source_code.zip
Size:
368.62 KB
Format:
Zip file