The disruptive technology provided by large-scale pre-trained language models (LLMs)
such as ChatGPT or GPT-4 has received significant attention in several application domains …

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 …

Abstract Information charts are an indispensable component of documents. All charts aim to
represent and visualize data, depicting a meaning about data or subject matter. However …

Designing a visualization is often a process of iterative refinement where the designer
improves a chart over time by adding features, improving encodings, and fixing mistakes …

Chart data extraction is a crucial research field in recovering information from chart images.
With the recent rise in image processing and computer vision algorithms, researchers …

Charts or scientific plots are widely used visualizations for efficient knowledge dissemination
from datasets. However, these charts are predominantly available in image format. There …

While researchers have examined alternative (alt) text for social media and news contexts,
few have studied the status and challenges for authoring alt text of figures in computing …

While color vision deficiency has long been on the radar of the visualization discipline,
accessibility in visualization has largely been promoted only by scholars such as Ed …

In recovering information from the chart image, the first step should be chart type
classification. Throughout history, many approaches have been used, and some of them …

Tactile graphics are one of the best ways for a blind person to perceive a chart using touch,
but their fabrication is often costly, time-consuming, and does not lend itself to dynamic …