Temporal Summary Images: An Approach to Narrative Visualization via Interactive Annotation Generation and Placement

Bryan, Chris; Ma, Kwan-Liu; Woodring, Jonathan

doi:10.1109/TVCG.2016.2598876

Title: Temporal Summary Images: An Approach to Narrative Visualization via Interactive Annotation Generation and Placement

Abstract

Visualization is a powerful technique for analysis and communication of complex, multidimensional, and time-varying data. However, it can be difficult to manually synthesize a coherent narrative in a chart or graph due to the quantity of visualized attributes, a variety of salient features, and the awareness required to interpret points of interest (POIs). We present Temporal Summary Images (TSIs) as an approach for both exploring this data and creating stories from it. As a visualization, a TSI is composed of three common components: (1) a temporal layout, (2) comic strip-style data snapshots, and (3) textual annotations. To augment user analysis and exploration, we have developed a number of interactive techniques that recommend relevant data features and design choices, including an automatic annotations workflow. As the analysis and visual design processes converge, the resultant image becomes appropriate for data storytelling. For validation, we use a prototype implementation for TSIs to conduct two case studies with large-scale, scientific simulation datasets.

Authors:

Bryan, Chris ^[1]; Ma, Kwan-Liu ^[1]; Woodring, Jonathan ^[2]

Univ. of California, Davis, CA (United States)
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Publication Date:: Wed Aug 10 00:00:00 EDT 2016

Research Org.:: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1463548

Report Number(s):: LA-UR-17-27532
Journal ID: ISSN 1077-2626

Grant/Contract Number:: AC52-06NA25396

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Transactions on Visualization and Computer Graphics

Additional Journal Information:: Journal Volume: 23; Journal Issue: 1; Journal ID: ISSN 1077-2626

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING

Citation Formats


                    Bryan, Chris, Ma, Kwan-Liu, and Woodring, Jonathan. Temporal Summary Images: An Approach to Narrative Visualization via Interactive Annotation Generation and Placement.  United States: N. p., 2016. 
Web.  doi:10.1109/TVCG.2016.2598876.

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                    Bryan, Chris, Ma, Kwan-Liu, & Woodring, Jonathan. Temporal Summary Images: An Approach to Narrative Visualization via Interactive Annotation Generation and Placement.  United States.  https://doi.org/10.1109/TVCG.2016.2598876

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                    Bryan, Chris, Ma, Kwan-Liu, and Woodring, Jonathan. Wed .  
"Temporal Summary Images: An Approach to Narrative Visualization via Interactive Annotation Generation and Placement".  United States.  https://doi.org/10.1109/TVCG.2016.2598876.  https://www.osti.gov/servlets/purl/1463548.

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@article{osti_1463548,

  title        = {Temporal Summary Images: An Approach to Narrative Visualization via Interactive Annotation Generation and Placement},

  author       = {Bryan, Chris and Ma, Kwan-Liu and Woodring, Jonathan},

  abstractNote = {Visualization is a powerful technique for analysis and communication of complex, multidimensional, and time-varying data. However, it can be difficult to manually synthesize a coherent narrative in a chart or graph due to the quantity of visualized attributes, a variety of salient features, and the awareness required to interpret points of interest (POIs). We present Temporal Summary Images (TSIs) as an approach for both exploring this data and creating stories from it. As a visualization, a TSI is composed of three common components: (1) a temporal layout, (2) comic strip-style data snapshots, and (3) textual annotations. To augment user analysis and exploration, we have developed a number of interactive techniques that recommend relevant data features and design choices, including an automatic annotations workflow. As the analysis and visual design processes converge, the resultant image becomes appropriate for data storytelling. For validation, we use a prototype implementation for TSIs to conduct two case studies with large-scale, scientific simulation datasets.},

  doi          = {10.1109/TVCG.2016.2598876},

  journal      = {IEEE Transactions on Visualization and Computer Graphics},

  number       = 1,

  volume       = 23,

  place        = {United States},

  year         = {Wed Aug 10 00:00:00 EDT 2016},

  month        = {Wed Aug 10 00:00:00 EDT 2016}

}

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Journal Article:

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https://doi.org/10.1109/TVCG.2016.2598876

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Storytelling and Visualization: An Extended Survey
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