SunburstChartAnalyzer: Hierarchical Data Retrieval from Images of Sunburst Charts for Tree Visualization

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dc.contributor.authorRastogi, Prakharen_US
dc.contributor.authorSingh, Karanveeren_US
dc.contributor.authorSreevalsan-Nair, Jayaen_US
dc.contributor.editorVangorp, Peteren_US
dc.contributor.editorHunter, Daviden_US
dc.date.accessioned2023-09-12T05:44:51Z
dc.date.available2023-09-12T05:44:51Z
dc.date.issued2023
dc.description.abstractData extraction from visualization is a challenging problem in computer vision owing to the huge ''design space of possible vis idioms.'' Different visualizations pose different challenges in automated data extraction from their images, which is needed in document analysis. In the case of sunburst charts for hierarchical data, the extracted data has to be also correctly organized as a tree data structure. Overall, data extraction has to consider different components of a chart image, such as text, annular sectors, levels, etc., and their ordering. We propose an end-to-end algorithm, SunburstChartAnalyzer, for data extraction from sunburst charts. The algorithm includes chart classification, component extraction, and hierarchical data organization. We further propose a composite metric to evaluate the correctness of SunburstChartAnalyzer. Our experimental results show that our proposed method works for trees of all sizes, and particularly well for shallow and medium-depth trees.en_US
dc.description.sectionheadersVisualisation and Interaction
dc.description.seriesinformationComputer Graphics and Visual Computing (CGVC)
dc.identifier.doi10.2312/cgvc.20231200
dc.identifier.isbn978-3-03868-231-8
dc.identifier.pages97-101
dc.identifier.pages5 pages
dc.identifier.urihttps://doi.org/10.2312/cgvc.20231200
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/cgvc20231200
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 -> Visualization techniques; Accessibility systems and tools; Computing methodologies -> Information extraction; Image processing; Keywords: Hierarchical data, Visualization, Sunburst charts, Circle objects, Tree data structure, Optical Character Recognition, Text detection, Hough transform, Geometry
dc.subjectHuman centered computing
dc.subjectVisualization techniques
dc.subjectAccessibility systems and tools
dc.subjectComputing methodologies
dc.subjectInformation extraction
dc.subjectImage processing
dc.subjectKeywords
dc.subjectHierarchical data
dc.subjectVisualization
dc.subjectSunburst charts
dc.subjectCircle objects
dc.subjectTree data structure
dc.subjectOptical Character Recognition
dc.subjectText detection
dc.subjectHough transform
dc.subjectGeometry
dc.titleSunburstChartAnalyzer: Hierarchical Data Retrieval from Images of Sunburst Charts for Tree Visualizationen_US
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