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dc.contributor.authorTyagi, Anjulen_US
dc.contributor.authorZhao, Jianen_US
dc.contributor.authorPatel, Pushkaren_US
dc.contributor.authorKhurana, Swastien_US
dc.contributor.authorMueller, Klausen_US
dc.contributor.editorBorgo, Ritaen_US
dc.contributor.editorMarai, G. Elisabetaen_US
dc.contributor.editorSchreck, Tobiasen_US
dc.date.accessioned2022-06-03T06:05:48Z
dc.date.available2022-06-03T06:05:48Z
dc.date.issued2022
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.14527
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14527
dc.description.abstractInfographics are an aesthetic visual representation of information following specific design principles of human perception. Designing infographics can be a tedious process for non-experts and time-consuming, even for professional designers. With the help of designers, we propose a semi-automated infographic framework for general structured and flow-based infographic design generation. For novice designers, our framework automatically creates and ranks infographic designs for a user-provided text with no requirement for design input. However, expert designers can still provide custom design inputs to customize the infographics. We will also contribute an individual visual group (VG) designs dataset (in SVG), along with a 1k complete infographic image dataset with segmented VGs in this work. Evaluation results confirm that by using our framework, designers from all expertise levels can generate generic infographic designs faster than existing methods while maintaining the same quality as hand-designed infographics templates.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectCCS Concepts: Human-centered computing --> Visualization systems and tools; Applied computing --> Arts and humanities; Computing methodologies --> Visual content-based indexing and retrieval; Heuristic function construction
dc.subjectHuman centered computing
dc.subjectVisualization systems and tools
dc.subjectApplied computing
dc.subjectArts and humanities
dc.subjectComputing methodologies
dc.subjectVisual content
dc.subjectbased indexing and retrieval
dc.subjectHeuristic function construction
dc.titleInfographics Wizard: Flexible Infographics Authoring and Design Explorationen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersVisualization and Machine Learning
dc.description.volume41
dc.description.number3
dc.identifier.doi10.1111/cgf.14527
dc.identifier.pages121-132
dc.identifier.pages12 pages


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  • 41-Issue 3
    EuroVis 2022 - Conference Proceedings

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