Visualizations themselves have become a data format. Akin to other data formats such as
text and images, visualizations are increasingly created, stored, shared, and (re-) used with …

While the rapid development of information technology has made easy to store and access
the huge amount of data, it also brings another problem, that of how to extract potentially …

Chart images are commonly used for data visualization. Automatically reading the chart
values is a key step for chart content understanding. Charts have a lot of variations in style …

Inspired by the great success of machine learning (ML), researchers have applied ML
techniques to visualizations to achieve a better design, development, and evaluation of …

Visualization and artificial intelligence (AI) are well-applied approaches to data analysis. On
one hand, visualization can facilitate humans in data understanding through intuitive visual …

Page segmentation and table detection play an important role in understanding the structure
of documents. We present a page segmentation algorithm that incorporates state-of-the-art …

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 …

Reverse-engineering bar charts extract textual and numeric information from the visual
representations of bar charts to support application scenarios that require the underlying …

This paper proposes a method for automatically recovering data from chart images. In
particular we focus on the task of estimating line charts, as the most common chart type, in a …