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VIStory: interactive storyboard for exploring visual information in scientific publications
Wei Zeng1, Ao Dong1,2, Xi Chen1,2
1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Journal of Visualization
|August 25, 2020
Summary
VIStory is a new interactive storyboard tool for exploring visual information in scientific papers. It helps researchers analyze figures and their associated metadata, improving literature reviews and collaboration analysis.
Area of Science:
- Information Visualization
- Scientific Literature Analysis
- Data Mining
Background:
- Existing visual analytics tools primarily focus on citation and author data in scientific publications.
- Visual elements like figures, crucial for storytelling and methods description, are often overlooked.
- There is a need for specialized tools to explore the rich visual content within research papers.
Purpose of the Study:
- To introduce VIStory, an interactive storyboard system for exploring visual information in scientific publications.
- To develop an automatic method for extracting figures and their attributes from large publication corpora.
- To enable efficient querying and temporal trend analysis of visual content and associated metadata.
Main Methods:
- Harvesting a large dataset of figures with attributes (dominant color, aspect ratio) and publication metadata (venue, authors, keywords).
- Developing an interactive interface with three components: Faceted View (metadata querying), Storyboard View (visual attribute exploration), and Endgame View (figure and metadata display).
- Utilizing a nested table structure for faceted querying and a theme-river layout with custom glyphs ('paper rings') for temporal trend visualization.
Main Results:
- Demonstrated the system's applicability through case studies on IEEE VIS and computer vision conference publications.
- Quantitative and qualitative results from a user study confirmed the efficiency of VIStory in exploring visual information.
- The system effectively reveals insights from figures, complementing traditional metadata-based analyses.
Conclusions:
- VIStory provides an effective solution for analyzing the underutilized visual information in scientific publications.
- The interactive storyboard approach enhances literature review, collaboration analysis, and understanding of research trends.
- Future work can expand the types of visual attributes and metadata analyzed.
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