Bar charts are an effective way to convey numeric information, but today's algorithms cannot
parse them. Existing methods fail when faced with even minor variations in appearance …

Information Visualization systems have traditionally followed a one-size-fits-all model,
typically ignoring an individual user's needs, abilities and preferences. However, recent …

Graphs has been a ubiquitous way of representing heterogeneous data. There are many
studies focused on graph learning highlighting the approaches for graph data extraction …

Charts often contain visually prominent features that draw attention to aspects of the data
and include text captions that emphasize aspects of the data. Through a crowdsourced …

Web-based data visualizations have become very popular for exploring data and
communicating insights. Newspapers, journals, and reports regularly publish visualizations …

This paper presents a complete review of different approaches across all components of the
chart image detection and classification up to date. A set of 89 scientific papers is collected …

Scientific-style figures are commonly used on the web to present numerical information.
Captions that tell accurate figure information and sound natural would significantly improve …

Information visualization systems have traditionally followed a one-size-fits-all model,
typically ignoring an individual user's needs, abilities, and preferences. However, recent …

Recent work has shown that when both the chart and caption emphasize the same aspects
of the data, readers tend to remember the doubly-emphasized features as takeaways; when …

There is increasing evidence that the effectiveness of information visualization techniques
can be impacted by the particular needs and abilities of each user. This suggests that it is …