Full metadata record
DC poleHodnotaJazyk
dc.contributor.authorSaga, Ryosuke
dc.contributor.authorBaek, Jaeyoung
dc.contributor.editorSkala, Václav
dc.date.accessioned2023-10-17T17:09:42Z
dc.date.available2023-10-17T17:09:42Z
dc.date.issued2023
dc.identifier.citationWSCG 2023: full papers proceedings: 1. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 284-291.en
dc.identifier.isbn978-80-86943-32-9
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464–4625 (CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/54435
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectokrajové sdružovánícs
dc.subjectgenetický algoritmuscs
dc.subjectdiagram uzel-linkcs
dc.subjectinformační vizualizacecs
dc.subjectsdružování okrajů založené na genetickém algoritmucs
dc.subjectGABEBcs
dc.titleEvolutionary-Edge Bundling with Concatenation Process of Control Pointsen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedEdge bundling is one of the information visualization techniques, which bundle the edges of a network diagram based on certain rules to increase the visibility of the network diagram and facilitate the analysis of key relationships among nodes. As one of evolutionary-based edge bundling, genetic algorithm-based edge bundling (called GABEB) is proposed which uses a genetic algorithm to optimize the placement of edges based on aesthetic criteria. However, it does not sufficiently consider the bundling between neighboring edges, and thus visual clutter issues still remain. Based on the above background, we propose an improved bundling method that considers the concatenating of control points at each edge using GABEB.en
dc.subject.translatededge bundlingen
dc.subject.translatedgenetic algorithmen
dc.subject.translatednode-link diagramen
dc.subject.translatedinformation visualizationen
dc.subject.translatedGenetic Algorithm-based Edge Bundlingen
dc.subject.translatedGABEBen
dc.identifier.doihttps://www.doi.org/10.24132/CSRN.3301.33
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:WSCG 2023: Full Papers Proceedings

Soubory připojené k záznamu:
Soubor Popis VelikostFormát 
G37-full.pdfPlný text2,29 MBAdobe PDFZobrazit/otevřít


Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam: http://hdl.handle.net/11025/54435

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.