dc.contributorPoco Medina, Jorge Luis
dc.creatorMayhua Quispe, Angela Gabriela
dc.date2019-04-10T17:28:34Z
dc.date2019-04-10T17:28:34Z
dc.date2019-04-10T17:28:34Z
dc.date2019-04-10T17:28:34Z
dc.date2018
dc.date.accessioned2024-05-14T23:18:51Z
dc.date.available2024-05-14T23:18:51Z
dc.identifier1066706
dc.identifierhttps://hdl.handle.net/20.500.12590/15964
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9408785
dc.descriptionMap visualizations are used in diverse domains to show geographic data (e.g., climate research, oceanography, business analyses, etc.). These visualizations can be found in news articles, scientific papers, and on the Web. However, many map visualizations are available only as bitmap images, hindering machine interpretation of the visualized data for indexing and reuse. In this work, we propose a pipeline to recover the visual encodings from bitmap images of geographic maps with color-encoded scalar values. We evaluate our results using map images from scientific documents, achieving high accuracy along each step of the pipeline. In addition, we present iGeoMap, our web-based system that uses the extracted visual encoding to enable user-interaction over bitmap images of map visualizations.
dc.descriptionTrabajo de investigación
dc.formatapplication/pdf
dc.languagespa
dc.publisherUniversidad Católica San Pablo
dc.publisherPE
dc.relationSUNEDU
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttps://creativecommons.org/licenses/by/4.0/
dc.sourceUniversidad Católica San Pablo
dc.sourceRepositorio Institucional - UCSP
dc.sourcereponame:UCSP-Institucional
dc.sourceinstname:Universidad Católica San Pablo
dc.sourceinstacron:UCSP
dc.subjectVisual encoding
dc.subjectMap interpretation
dc.subjectMap visualization
dc.subjecthttp://purl.org/pe-repo/ocde/ford#1.02.01
dc.titleAutomatic interpretation of map visualizations with color-encoded scalar values from bitmap images
dc.typeinfo:eu-repo/semantics/masterThesis


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