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 …

The textual data of a document is supplemented by the graphical information in it. To make
communication easier, they contain tables, charts and images. However, it excludes a …

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 …

The majority of visualizations on the web are still stored as raster images, making them
inaccessible to visually impaired users. We propose a deep‐neural‐network‐based …

Charts are commonly used to present data in digital documents such as web pages,
research papers, or presentation slides. When the underlying data is not available, it is …

Charts are useful communication tools for the presentation of data in a visually appealing
format that facilitates comprehension. There have been many studies dedicated to chart …

Charts are a powerful tool for visually conveying complex data, but their comprehension
poses a challenge due to the diverse chart types and intricate components. Existing chart …

Extracting underlying data from rasterized charts is tedious and inaccurate; values might be
partially occluded or hard to distinguish, and the quality of the image limits the precision of …

Data charts are prevalent across various fields due to their efficacy in conveying complex
data relationships. However, static charts may sometimes struggle to engage readers and …

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 …