%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2018/09.03.17.32
%2 sid.inpe.br/sibgrapi/2018/09.03.17.32.36
%@doi 10.1109/SIBGRAPI.2018.00025
%T Extracting Visual Encodings from Map Chart Images with Color-encoded Scalar Values
%D 2018
%A Mayhua, Angela,
%A Gomez-Nieto, Erick,
%A Heer, Jeffrey,
%A Poco, Jorge,
%@affiliation Universidad Católica San Pablo
%@affiliation Universidad Católica San Pablo
%@affiliation University of Washington
%@affiliation Fundação Getulio Vargas
%E Ross, Arun,
%E Gastal, Eduardo S. L.,
%E Jorge, Joaquim A.,
%E Queiroz, Ricardo L. de,
%E Minetto, Rodrigo,
%E Sarkar, Sudeep,
%E Papa, João Paulo,
%E Oliveira, Manuel M.,
%E Arbeláez, Pablo,
%E Mery, Domingo,
%E Oliveira, Maria Cristina Ferreira de,
%E Spina, Thiago Vallin,
%E Mendes, Caroline Mazetto,
%E Costa, Henrique Sérgio Gutierrez,
%E Mejail, Marta Estela,
%E Geus, Klaus de,
%E Scheer, Sergio,
%B Conference on Graphics, Patterns and Images, 31 (SIBGRAPI)
%C Foz do Iguaçu, PR, Brazil
%8 29 Oct.-1 Nov. 2018
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K visual encoding, map interpretation, map chart.
%X 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.
%@language en
%3 Paper ID 201.pdf