A testing environment for continuous colormaps
Many computer science disciplines (e.g., combinatorial optimization, natural language processing, and information retrieval) use standard or established test suites for evaluating algorithms. In visualization, similar approaches have been adopted in some areas (e.g., volume visualization), while use...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
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Institute of Electrical and Electronics Engineers
2020
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| _version_ | 1826303664750329856 |
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| author | Nardini, P Chen, M Bujack, R Bottinger, M Scheuermann, G |
| author_facet | Nardini, P Chen, M Bujack, R Bottinger, M Scheuermann, G |
| author_sort | Nardini, P |
| collection | OXFORD |
| description | Many computer science disciplines (e.g., combinatorial optimization, natural language processing, and information retrieval) use standard or established test suites for evaluating algorithms. In visualization, similar approaches have been adopted in some areas (e.g., volume visualization), while user testimonies and empirical studies have been the dominant means of evaluation in most other areas, such as designing colormaps. In this paper, we propose to establish a test suite for evaluating the design of colormaps. With such a suite, the users can observe the effects when different continuous colormaps are applied to planar scalar fields that may exhibit various characteristic features, such as jumps, local extrema, ridge or valley lines, different distributions of scalar values, different gradients, different signal frequencies, different levels of noise, and so on. The suite also includes an expansible collection of real-world data sets including the most popular data for colormap testing in the visualization literature. The test suite has been integrated into a web-based application for creating continuous colormaps (https://ccctool.com/), facilitating close inter-operation between design and evaluation processes. This new facility complements traditional evaluation methods such as user testimonies and empirical studies. |
| first_indexed | 2024-03-07T06:06:09Z |
| format | Journal article |
| id | oxford-uuid:edea9c10-834c-425c-83da-a2e78bab7dce |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T06:06:09Z |
| publishDate | 2020 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | oxford-uuid:edea9c10-834c-425c-83da-a2e78bab7dce2022-03-27T11:28:44ZA testing environment for continuous colormapsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:edea9c10-834c-425c-83da-a2e78bab7dceEnglishSymplectic ElementsInstitute of Electrical and Electronics Engineers2020Nardini, PChen, MBujack, RBottinger, MScheuermann, GMany computer science disciplines (e.g., combinatorial optimization, natural language processing, and information retrieval) use standard or established test suites for evaluating algorithms. In visualization, similar approaches have been adopted in some areas (e.g., volume visualization), while user testimonies and empirical studies have been the dominant means of evaluation in most other areas, such as designing colormaps. In this paper, we propose to establish a test suite for evaluating the design of colormaps. With such a suite, the users can observe the effects when different continuous colormaps are applied to planar scalar fields that may exhibit various characteristic features, such as jumps, local extrema, ridge or valley lines, different distributions of scalar values, different gradients, different signal frequencies, different levels of noise, and so on. The suite also includes an expansible collection of real-world data sets including the most popular data for colormap testing in the visualization literature. The test suite has been integrated into a web-based application for creating continuous colormaps (https://ccctool.com/), facilitating close inter-operation between design and evaluation processes. This new facility complements traditional evaluation methods such as user testimonies and empirical studies. |
| spellingShingle | Nardini, P Chen, M Bujack, R Bottinger, M Scheuermann, G A testing environment for continuous colormaps |
| title | A testing environment for continuous colormaps |
| title_full | A testing environment for continuous colormaps |
| title_fullStr | A testing environment for continuous colormaps |
| title_full_unstemmed | A testing environment for continuous colormaps |
| title_short | A testing environment for continuous colormaps |
| title_sort | testing environment for continuous colormaps |
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