loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock
ImmVis: Bridging Data Analytics and Immersive Visualisation

Topics: Data Management and Knowledge Representation; Immersive Analytics; Integration of Data Analysis, Interaction, and Visualization; Visual Analytical Reasoning; Visual Data Analysis and Knowledge Discovery; Visualization Applications; Visualization Tools and Systems for Simulation and Modeling

Authors: Felipe Augusto Pedroso and Paula Dornhofer Paro Costa

Affiliation: Dept. of Computer Engineering and Automation (DCA), School of Electrical and Computer Engineering, University of Campinas (UNICAMP), Brazil

Keyword(s): Immersive Analytics, Data Analysis, Virtual Reality, Visual Analytics.

Abstract: One of the significant issues from the visualisation field is choosing the appropriate tool to conduct a research project or experiment. The Immersive Analytics (IA) field is no different but found support on game engines and web technologies to create their solutions, frameworks and toolkits. While these technologies solve problems like rendering and interaction, they do not offer functionalities to enable data analysis inside immersive environments. This paper presents ImmVis, a novel open-source framework that enables IA applications to benefit from the data analysis capabilities from Python programming language well-established libraries. The framework is enabled to work with different platforms and programming languages and can be used to complement the capabilities of existing IA tools, empowering them to offer more sophisticated data analysis functionalities.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.119.143.4

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Pedroso, F. and Costa, P. (2021). ImmVis: Bridging Data Analytics and Immersive Visualisation. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 181-187. DOI: 10.5220/0010256001810187

@conference{ivapp21,
author={Felipe Augusto Pedroso. and Paula Dornhofer Paro Costa.},
title={ImmVis: Bridging Data Analytics and Immersive Visualisation},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP},
year={2021},
pages={181-187},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010256001810187},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP
TI - ImmVis: Bridging Data Analytics and Immersive Visualisation
SN - 978-989-758-488-6
IS - 2184-4321
AU - Pedroso, F.
AU - Costa, P.
PY - 2021
SP - 181
EP - 187
DO - 10.5220/0010256001810187
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic