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Conference Paper/Proceeding/Abstract 1016 views 62 downloads

Data Painter: A Tool for Colormap Interaction

Omniah H. Nagoor, Rita Borgo, Mark Jones Orcid Logo

Computer Graphics & Visual Computing (CGVC) 2017

Swansea University Author: Mark Jones Orcid Logo

DOI (Published version): 10.2312/cgvc.20171280

Abstract

The choice of a mapping from data to color should involve careful consideration in order to maximize the user understanding of the underlying data. It is desirable for features within the data to be visually separable and identifiable. Current practice involves selecting a mapping from predefined co...

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Published in: Computer Graphics & Visual Computing (CGVC) 2017
ISBN: 978-3-03868-050-5
Published: 2017
URI: https://cronfa.swan.ac.uk/Record/cronfa35294
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first_indexed 2017-09-15T18:51:21Z
last_indexed 2018-02-09T05:26:18Z
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spelling 2017-10-30T16:11:40.3281444 v2 35294 2017-09-15 Data Painter: A Tool for Colormap Interaction 2e1030b6e14fc9debd5d5ae7cc335562 0000-0001-8991-1190 Mark Jones Mark Jones true false 2017-09-15 SCS The choice of a mapping from data to color should involve careful consideration in order to maximize the user understanding of the underlying data. It is desirable for features within the data to be visually separable and identifiable. Current practice involves selecting a mapping from predefined colormaps or coding specific colormaps using software such as MATLAB. The purposes of this paper are to introduce interactive operations for colormaps that enable users to create more visually distinguishable pixel based visualizations, and to describe our tool, Data Painter, that provides a fast, easy to use framework for defining these color mappings. We demonstrate the use of the tool to create colormaps for various application areas and compare to existing color mapping methods. We present a new objective measure to evaluate their efficacy. Conference Paper/Proceeding/Abstract Computer Graphics & Visual Computing (CGVC) 2017 978-3-03868-050-5 14 9 2017 2017-09-14 10.2312/cgvc.20171280 The definitive version is available at http://diglib.eg.org/ COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2017-10-30T16:11:40.3281444 2017-09-15T14:19:23.1180457 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Omniah H. Nagoor 1 Rita Borgo 2 Mark Jones 0000-0001-8991-1190 3 0035294-15092017150827.pdf 2017_Data_Painter.pdf 2017-09-15T15:08:27.7430000 Output 14449731 application/pdf Accepted Manuscript true 2017-10-30T00:00:00.0000000 true eng
title Data Painter: A Tool for Colormap Interaction
spellingShingle Data Painter: A Tool for Colormap Interaction
Mark Jones
title_short Data Painter: A Tool for Colormap Interaction
title_full Data Painter: A Tool for Colormap Interaction
title_fullStr Data Painter: A Tool for Colormap Interaction
title_full_unstemmed Data Painter: A Tool for Colormap Interaction
title_sort Data Painter: A Tool for Colormap Interaction
author_id_str_mv 2e1030b6e14fc9debd5d5ae7cc335562
author_id_fullname_str_mv 2e1030b6e14fc9debd5d5ae7cc335562_***_Mark Jones
author Mark Jones
author2 Omniah H. Nagoor
Rita Borgo
Mark Jones
format Conference Paper/Proceeding/Abstract
container_title Computer Graphics & Visual Computing (CGVC) 2017
publishDate 2017
institution Swansea University
isbn 978-3-03868-050-5
doi_str_mv 10.2312/cgvc.20171280
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
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description The choice of a mapping from data to color should involve careful consideration in order to maximize the user understanding of the underlying data. It is desirable for features within the data to be visually separable and identifiable. Current practice involves selecting a mapping from predefined colormaps or coding specific colormaps using software such as MATLAB. The purposes of this paper are to introduce interactive operations for colormaps that enable users to create more visually distinguishable pixel based visualizations, and to describe our tool, Data Painter, that provides a fast, easy to use framework for defining these color mappings. We demonstrate the use of the tool to create colormaps for various application areas and compare to existing color mapping methods. We present a new objective measure to evaluate their efficacy.
published_date 2017-09-14T03:43:53Z
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score 11.016235

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