Automatic interpretation of map visualizations with color-encoded scalar values from bitmap images

Descripción del Articulo

Map 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, hinderi...

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Detalles Bibliográficos
Autor: Mayhua Quispe, Angela Gabriela
Formato: tesis de maestría
Fecha de Publicación:2018
Institución:Universidad Católica San Pablo
Repositorio:UCSP-Institucional
Lenguaje:español
OAI Identifier:oai:repositorio.ucsp.edu.pe:20.500.12590/15964
Enlace del recurso:https://hdl.handle.net/20.500.12590/15964
Nivel de acceso:acceso abierto
Materia:Visual encoding
Map interpretation
Map visualization
https://purl.org/pe-repo/ocde/ford#1.02.01
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dc.title.es_PE.fl_str_mv Automatic interpretation of map visualizations with color-encoded scalar values from bitmap images
title Automatic interpretation of map visualizations with color-encoded scalar values from bitmap images
spellingShingle Automatic interpretation of map visualizations with color-encoded scalar values from bitmap images
Mayhua Quispe, Angela Gabriela
Visual encoding
Map interpretation
Map visualization
https://purl.org/pe-repo/ocde/ford#1.02.01
title_short Automatic interpretation of map visualizations with color-encoded scalar values from bitmap images
title_full Automatic interpretation of map visualizations with color-encoded scalar values from bitmap images
title_fullStr Automatic interpretation of map visualizations with color-encoded scalar values from bitmap images
title_full_unstemmed Automatic interpretation of map visualizations with color-encoded scalar values from bitmap images
title_sort Automatic interpretation of map visualizations with color-encoded scalar values from bitmap images
author Mayhua Quispe, Angela Gabriela
author_facet Mayhua Quispe, Angela Gabriela
author_role author
dc.contributor.advisor.fl_str_mv Poco Medina, Jorge Luis
dc.contributor.author.fl_str_mv Mayhua Quispe, Angela Gabriela
dc.subject.es_PE.fl_str_mv Visual encoding
Map interpretation
Map visualization
topic Visual encoding
Map interpretation
Map visualization
https://purl.org/pe-repo/ocde/ford#1.02.01
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.02.01
description Map 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.
publishDate 2018
dc.date.accessioned.none.fl_str_mv 2019-04-10T17:28:34Z
dc.date.available.none.fl_str_mv 2019-04-10T17:28:34Z
dc.date.issued.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.other.none.fl_str_mv 1066706
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12590/15964
identifier_str_mv 1066706
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dc.publisher.es_PE.fl_str_mv Universidad Católica San Pablo
dc.publisher.country.es_PE.fl_str_mv PE
dc.source.es_PE.fl_str_mv Universidad Católica San Pablo
Repositorio Institucional - UCSP
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spelling Poco Medina, Jorge LuisMayhua Quispe, Angela Gabriela2019-04-10T17:28:34Z2019-04-10T17:28:34Z20181066706https://hdl.handle.net/20.500.12590/15964Map 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. 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Automatic interpretation of map visualizations with color-encoded scalar values from bitmap images
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