Proceedings Article10.1109/CTS.2016.0059
High-Resolution Interactive and Collaborative Data Visualization Framework for Large-Scale Data Analysis
Simon Su,Vincent Perry,Nicholas Cantner,Dylan Kobayashi,Jason Leigh +4 more
- 01 Oct 2016
- pp 275-280
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TL;DR: This work presents a high-resolution interactive and collaborative data visualization framework capable of supporting multiple user interaction on a large screen display and developed a SAGE2 desktop application based on D3.js library to support information data visualization efforts.
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Abstract: We present a high-resolution interactive and collaborative data visualization framework capable of supporting multiple user interaction on a large screen display. The data visualization framework takes advantage of SAGE2 collaborative visualization workspace. SAGE2 is designed to take multiple displays and use them as one high-resolution multiuser workspace. SAGE2 users are able to access and manipulate this workspace through a modern web browser. Our data visualization framework, ParaSAGE, supports scientific data visualization by extending ParaViewWeb into a SAGE2 desktop application where a subset of ParaView scientific visualization functionalities is accessible to SAGE2 users. We also developed a SAGE2 desktop application based on D3.js library to support information data visualization efforts.
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Citations
Visually Analyzing A Billion Tweets: An Application for Collaborative Visual Analytics on Large High-Resolution Display
Simon Su,Michael An,Vincent Perry,Jianfeng Jia,Taewoo Kim,Te-Yu Chen,Chen Li +6 more
- 01 Dec 2018
TL;DR: This work presents a ParaViewWeb based visual analytics application running on large high-resolution display supporting standard mouse and keyboard interaction and employs a scalable middleware system called "Cloudberry" that allows users to interactively query and analyze large amounts of temporal and spatial data stored on a back end Apache AsterixDB store to enable big data analytics and interactive visualization.
7
Extending MedThaiVis-Thai medical research visualization to SAGE2 display walls
Jarernsri L. Mitrpanont,Jirayu Roungsuriyaviboon,Thada Sathapornwatanakul,Wudhichart Sawangphol,Dylan Kobayashi,Jason H. Haga +5 more
- 01 Nov 2017
TL;DR: This work explored the compatibility of these large-scale displays with this data through the creation of a Scalable Amplified Group Environment (SAGE2) native application that allows us to display various Thai medical research project data visualizations existing in web and cloud based application of MedThaiVis.
6
Dynamic Collaborative Visualization Ecosystem to Support the Analysis of Large-Scale Disparate Data
Christopher Koehler,Andrew Berger,Raksha Rajashekar,Thomas Wischgoll,Simon Su +4 more
- 01 Dec 2019
TL;DR: The Dynamic Collaborative Visualization Ecosystem (DynaCoVE) framework addresses this limitation by unifying SciVis, InfoVis, and display technology tools by providing a common metavisualization graph interface to setup cross-display visualizations.
6
Realtime Interactive Hybrid 2D and 3D Visual Analytics on Large High Resolution Display and Immersive Virtual Environment
Simon Su,Michael An,Vincent Perry,Michael Chen +3 more
- 01 Mar 2018
TL;DR: Preliminary results show the data-centric design provides a user-centric visualization tool that can greatly enhance the analytical process and speed up the derivation of insights from data.
5
On a side note: observations on using digital notes on a large display with users sitting at extreme sides
Nurit Kirshenbaum,Dylan Kobayashi,Alberto Gonzalez Martinez,Jason Leigh +3 more
- 12 Jun 2019
TL;DR: This paper focuses on the Quick Notes application in the SAGE2 collaborative environment for large displays and wants to know what is the connection, if there is one, between sitting position in relation to the large display and workflow.
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