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 Experiment Videos

Illustrative deformation for data exploration.

Carlos Correa1, Debora Silver, Min Chen

  • 1Department of electrical and Computer Engineering, Rutgers, State University of New Jersey, USA. cdcorrea@caip.rutgers.edu

IEEE Transactions on Visualization and Computer Graphics
|October 31, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Creativity and Ideation in Dental Education: Sip, Stain, and Glaze.

Journal of dental education·2025
Same author

Fluvastatin Converts Human Macrophages into Foam Cells with Increased Inflammatory Response to Inactivated <i>Mycobacterium tuberculosis H37Ra</i>.

Cells·2024
Same author

Interrogating the Role of Human Rights in Remedying Global Inequities in Access to COVID-19 Vaccines.

Health and human rights·2022
Same author

StopWatch: Pilot study for an Apple Watch application for youth with ADHD.

Digital health·2021
Same author

The ENGAGE study: Integrating neuroimaging, virtual reality and smartphone sensing to understand self-regulation for managing depression and obesity in a precision medicine model.

Behaviour research and therapy·2017
Same author

Intraoperative Neurophysiological Changes Induced by Thoracic Pedicle Screws Intentionally Placed Within the Spinal Canal: An Experimental Study in Pigs.

Spine deformity·2016
Same journal

Two-phase Impulse Fluid on Particle Flow Map.

IEEE transactions on visualization and computer graphics·2026
Same journal

FGO-SLAM++: Real-time Geometry-Aware Gaussian SLAM with Continuous Opacity Field.

IEEE transactions on visualization and computer graphics·2026
Same journal

Blue Noise Dithering for Reservoir-based Spatio-temporal Importance Resampling.

IEEE transactions on visualization and computer graphics·2026
Same journal

ROS-GS: Relightable Outdoor Scenes With Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
See all related articles

This study introduces active data exploration by allowing users to manipulate data geometry, moving beyond passive viewing. This approach enhances focus+context visualization for flow and information data.

Area of Science:

  • Computer Science
  • Information Visualization
  • Human-Computer Interaction

Background:

  • Existing visualization research prioritizes rendering quality and speed.
  • Focus+Context (F+C) techniques like fisheye views are used for data exploration.
  • Current methods often render users as passive viewers, relying on viewing or optical attribute manipulation.

Purpose of the Study:

  • To propose an active data exploration approach mimicking physical interaction with data.
  • To enable users to actively manipulate data object geometry for exploration.
  • To address challenges in generalizing geometric manipulation for diverse data types like flow and information visualization.

Main Methods:

  • Developed a taxonomy and transformations for illustrative deformation in data exploration.

Related Experiment Videos

  • Introduced combined geometric and optical illustration operators for F+C visualization.
  • Investigated methods to prevent misperception of deformed context in visualizations.

    • Main Results:

    • Demonstrated the feasibility of active geometric manipulation for general data exploration.
    • Successfully applied the approach to flow, information, and video visualization examples.
    • Showcased enhanced user interaction beyond passive viewing in data exploration.

    Conclusions:

    • Active manipulation of data geometry offers a novel approach to data exploration.
    • The proposed methods facilitate focus+context visualization for complex datasets.
    • This technique holds potential for improving user engagement and understanding in various visualization domains.