Extracting Visual Encodings from Map Chart Images with Color-Encoded Scalar Values
Descripción del Articulo
This work was supported by grant 234-2015-FONDECYT (Master Program) from Cienciactiva of the National Council for Science,Technology and Technological Innovation (CONCYTEC-PERU).
| Autores: | , , , |
|---|---|
| Formato: | objeto de conferencia |
| Fecha de Publicación: | 2019 |
| Institución: | Consejo Nacional de Ciencia Tecnología e Innovación |
| Repositorio: | CONCYTEC-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.concytec.gob.pe:20.500.12390/615 |
| Enlace del recurso: | https://hdl.handle.net/20.500.12390/615 https://doi.org/10.1109/SIBGRAPI.2018.00025 |
| Nivel de acceso: | acceso abierto |
| Materia: | Visual representations Color image processing Encoding (symbols) Graphic methods Machine interpretation Map interpretation Scientific documents Scientific papers Visual encodings Image coding https://purl.org/pe-repo/ocde/ford#2.02.04 |
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| dc.title.none.fl_str_mv |
Extracting Visual Encodings from Map Chart Images with Color-Encoded Scalar Values |
| title |
Extracting Visual Encodings from Map Chart Images with Color-Encoded Scalar Values |
| spellingShingle |
Extracting Visual Encodings from Map Chart Images with Color-Encoded Scalar Values Mayhua A. Visual representations Color image processing Encoding (symbols) Graphic methods Machine interpretation Map interpretation Scientific documents Scientific papers Visual encodings Image coding https://purl.org/pe-repo/ocde/ford#2.02.04 |
| title_short |
Extracting Visual Encodings from Map Chart Images with Color-Encoded Scalar Values |
| title_full |
Extracting Visual Encodings from Map Chart Images with Color-Encoded Scalar Values |
| title_fullStr |
Extracting Visual Encodings from Map Chart Images with Color-Encoded Scalar Values |
| title_full_unstemmed |
Extracting Visual Encodings from Map Chart Images with Color-Encoded Scalar Values |
| title_sort |
Extracting Visual Encodings from Map Chart Images with Color-Encoded Scalar Values |
| author |
Mayhua A. |
| author_facet |
Mayhua A. Gomez-Nieto E. Heer J. Poco J. |
| author_role |
author |
| author2 |
Gomez-Nieto E. Heer J. Poco J. |
| author2_role |
author author author |
| dc.contributor.author.fl_str_mv |
Mayhua A. Gomez-Nieto E. Heer J. Poco J. |
| dc.subject.none.fl_str_mv |
Visual representations |
| topic |
Visual representations Color image processing Encoding (symbols) Graphic methods Machine interpretation Map interpretation Scientific documents Scientific papers Visual encodings Image coding https://purl.org/pe-repo/ocde/ford#2.02.04 |
| dc.subject.es_PE.fl_str_mv |
Color image processing Encoding (symbols) Graphic methods Machine interpretation Map interpretation Scientific documents Scientific papers Visual encodings Image coding |
| dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#2.02.04 |
| description |
This work was supported by grant 234-2015-FONDECYT (Master Program) from Cienciactiva of the National Council for Science,Technology and Technological Innovation (CONCYTEC-PERU). |
| publishDate |
2019 |
| dc.date.accessioned.none.fl_str_mv |
2024-05-30T23:13:38Z |
| dc.date.available.none.fl_str_mv |
2024-05-30T23:13:38Z |
| dc.date.issued.fl_str_mv |
2019 |
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info:eu-repo/semantics/conferenceObject |
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conferenceObject |
| dc.identifier.isbn.none.fl_str_mv |
9781538692646 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12390/615 |
| dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1109/SIBGRAPI.2018.00025 |
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2-s2.0-85062230158 |
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9781538692646 2-s2.0-85062230158 |
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https://hdl.handle.net/20.500.12390/615 https://doi.org/10.1109/SIBGRAPI.2018.00025 |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartof.none.fl_str_mv |
Proceedings - 31st Conference on Graphics, Patterns and Images, SIBGRAPI 2018 |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers Inc. |
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Institute of Electrical and Electronics Engineers Inc. |
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reponame:CONCYTEC-Institucional instname:Consejo Nacional de Ciencia Tecnología e Innovación instacron:CONCYTEC |
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Consejo Nacional de Ciencia Tecnología e Innovación |
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CONCYTEC |
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CONCYTEC |
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CONCYTEC-Institucional |
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Repositorio Institucional CONCYTEC |
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repositorio@concytec.gob.pe |
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1844883048365031424 |
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Publicationrp00996500rp01234600rp00997500rp00995500Mayhua A.Gomez-Nieto E.Heer J.Poco J.2024-05-30T23:13:38Z2024-05-30T23:13:38Z20199781538692646https://hdl.handle.net/20.500.12390/615https://doi.org/10.1109/SIBGRAPI.2018.000252-s2.0-85062230158This work was supported by grant 234-2015-FONDECYT (Master Program) from Cienciactiva of the National Council for Science,Technology and Technological Innovation (CONCYTEC-PERU).Map charts are used in diverse domains to show geographic data (e.g., climate research, oceanography, business analysis, etc.). These charts can be found in news articles, scientific papers, and on the Web. However, many map charts are available only as bitmap images, hindering machine interpretation of the visualized data for indexing and reuse. We propose a pipeline to recover both the visual encodings and underlying data 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 our proposal. In addition, we present two applications: data extraction and map reprojection to enable improved visual representations of map charts.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengInstitute of Electrical and Electronics Engineers Inc.Proceedings - 31st Conference on Graphics, Patterns and Images, SIBGRAPI 2018info:eu-repo/semantics/openAccessVisual representationsColor image processing-1Encoding (symbols)-1Graphic methods-1Machine interpretation-1Map interpretation-1Scientific documents-1Scientific papers-1Visual encodings-1Image coding-1https://purl.org/pe-repo/ocde/ford#2.02.04-1Extracting Visual Encodings from Map Chart Images with Color-Encoded Scalar Valuesinfo:eu-repo/semantics/conferenceObjectreponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#20.500.12390/615oai:repositorio.concytec.gob.pe:20.500.12390/6152024-05-30 15:35:49.255http://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="00428a10-5cd5-494f-8794-18f78dc94fb9"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Extracting Visual Encodings from Map Chart Images with Color-Encoded Scalar Values</Title> <PublishedIn> <Publication> <Title>Proceedings - 31st Conference on Graphics, Patterns and Images, SIBGRAPI 2018</Title> </Publication> </PublishedIn> <PublicationDate>2019</PublicationDate> <DOI>https://doi.org/10.1109/SIBGRAPI.2018.00025</DOI> <SCP-Number>2-s2.0-85062230158</SCP-Number> <ISBN>9781538692646</ISBN> <Authors> <Author> <DisplayName>Mayhua A.</DisplayName> <Person id="rp00996" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Gomez-Nieto E.</DisplayName> <Person id="rp01234" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Heer J.</DisplayName> <Person id="rp00997" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Poco J.</DisplayName> <Person id="rp00995" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Institute of Electrical and Electronics Engineers Inc.</DisplayName> <OrgUnit /> </Publisher> </Publishers> <Keyword>Visual representations</Keyword> <Keyword>Color image processing</Keyword> <Keyword>Encoding (symbols)</Keyword> <Keyword>Graphic methods</Keyword> <Keyword>Machine interpretation</Keyword> <Keyword>Map interpretation</Keyword> <Keyword>Scientific documents</Keyword> <Keyword>Scientific papers</Keyword> <Keyword>Visual encodings</Keyword> <Keyword>Image coding</Keyword> <Abstract>Map charts are used in diverse domains to show geographic data (e.g., climate research, oceanography, business analysis, etc.). These charts can be found in news articles, scientific papers, and on the Web. However, many map charts are available only as bitmap images, hindering machine interpretation of the visualized data for indexing and reuse. We propose a pipeline to recover both the visual encodings and underlying data 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 our proposal. In addition, we present two applications: data extraction and map reprojection to enable improved visual representations of map charts.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1 |
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13.269403 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
