Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Methods of Documentation IV: Focus Charting01:26

Methods of Documentation IV: Focus Charting

996
Focus Charting, also known as the focus charting system or "focus documentation," is a systematic documentation approach used in healthcare to organize patient information in medical records.
It typically involves three columns for recording information:
996
Multiple Bar Graph01:07

Multiple Bar Graph

5.1K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
5.1K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

96
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
96
Crossover Experiments01:16

Crossover Experiments

2.7K
Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
2.7K
Contingency Table01:29

Contingency Table

2.4K
A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...
2.4K
Interpreting X̄ Charts01:13

Interpreting X̄ Charts

55
Interpreting x̄ charts, a type of control chart used in statistical process control helps monitor the variation in processes over time. The x̄ chart is based on the sample mean and allows for monitoring variations in the process mean over time. These charts are pivotal for quality assurance in manufacturing and other sectors.
An x̄ chart plots the values of individual measurements over time against control limits calculated from historical data. The central line...
55

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Metabolic division of labor drives synergistic production of biomass, lipid and α-tocopherol in Euglena gracilis-Chlorella pyrenoidosa co-cultures.

Bioresource technology·2026
Same author

Unraveling microbial signatures in the comorbidity of autoimmune diseases and depression.

BMC microbiology·2026
Same author

Caffeic acid-grafted high-amylose maize starch for self-stabilizing emulsion gels: efficient encapsulation and protection of pterostilbene.

Food chemistry·2026
Same author

A high-amylose maize starch hydrogel mask for stabilized encapsulation of thyme essential oil with Higuchi-controlled release.

International journal of biological macromolecules·2026
Same author

Identification of soybean variety based on spectral data and RGB image fusion combined with deep learning method.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2026
Same author

Comparison of Clinical Features and Treatment Outcomes of Pyogenic Liver Abscess in Diabetic and Non-Diabetic Patients in a Chinese Hospital.

Infection and drug resistance·2026
Same journal

Therapeutic potential of crude protein extracts from two Egyptian freshwater snails Lanistes carinatus and Bellamya unicolor.

Scientific reports·2026
Same journal

Microbial contamination of donor corneas and post-keratoplasty endophthalmitis: a comparison between Japanese and U.S. eye banks using cold storage.

Scientific reports·2026
Same journal

Prevalence and contributing factors of virological non-suppression among adult patients on first-line antiretroviral therapy in tertiary hospitals in Ethiopia.

Scientific reports·2026
Same journal

An in vitro comparison of color stability between alkasite and different restorative materials in various staining solutions.

Scientific reports·2026
Same journal

Toward accessible mRNA LNP formulation: systematic evaluation of mixing strategies and key parameters.

Scientific reports·2026
Same journal

A network analysis of personality traits, mentalizing, and psychological health in Chinese college students.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Jun 3, 2025

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.0K

Enterprise chart question and answer method based on multi modal cross fusion.

Xinxin Wang1, Liang Chen2, Changhong Liu3

  • 1School of Economics and Management, Shangluo University, Shangluo, 726000, China. 595907410@qq.com.

Scientific Reports
|January 6, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a multimodal method for answering questions about unstructured chart data. It improves chart text recognition and data extraction, boosting enterprise data analysis and decision-making capabilities.

More Related Videos

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

5.3K
Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

19.9K

Related Experiment Videos

Last Updated: Jun 3, 2025

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.0K
Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

5.3K
Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

19.9K

Area of Science:

  • Computer Science
  • Data Science
  • Artificial Intelligence

Background:

  • Enterprises face challenges in interactively exploring unstructured chart data.
  • Recognizing irregular and curved text within charts is a significant hurdle.
  • Extracting accurate numerical information from diverse chart types requires advanced techniques.

Purpose of the Study:

  • To develop a multimodal chart question-answering (MCQA) method for enterprises.
  • To enhance the accuracy of text recognition and numerical data extraction from charts.
  • To improve interactive data exploration and decision-making through accurate chart analysis.

Main Methods:

  • Gaussian heatmap encoding for precise, character-level text annotation in charts.
  • Key point detection algorithm for extracting numerical data and converting it to structured tables.
  • Multimodal cross-fusion model to integrate chart images, user questions, and tabular data.

Main Results:

  • Achieved 91.58% precision in chart information extraction.
  • Attained 82.24% accuracy in chart question-answering.
  • Demonstrated capability in answering four types of chart questions, including those requiring mathematical reasoning.

Conclusions:

  • The proposed multimodal MCQA method significantly enhances chart text recognition and question-answering capabilities.
  • The method provides robust support for enterprise data analysis and decision-making.
  • Practical applications show the system's effectiveness in real-world scenarios.