Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Real-time High-resolution Visualisation

Authors: Florian Frieß; Christoph Müller 0001; Thomas Ertl;

Real-time High-resolution Visualisation

Abstract

While visualisation often strives for abstraction, the interactive exploration of large scientific data sets like densely sampled 3D fields or massive particle data sets still benefits from rendering their graphical representation in large detail on high-resolution displays such as Powerwalls or tiled display walls driven by multiple GPUs or even GPU clusters. Such visualisation systems are typically rather unique in their setup of hardware and software which makes transferring a visualisation application from one high-resolution system to another one a complicated task. As more and more such visualisation systems get installed, collaboration becomes desirable in the sense of sharing such a visualisation running on one site in real time with another highresolution display on a remote site while at the same time communicating via video and audio. Since typical video conference solutions or web-based collaboration tools often cannot deal with resolutions exceeding 4K, with stereo displays or with multi- GPU setups, we designed and implemented a new system based on state-of-the-art hardware and software technologies to transmit high-resolution visualisations including video and audio streams via the internet to remote large displays and back. Our system architecture is built on efficient capturing, encoding and transmission of pixel streams and thus supports a multitude of configurations combining audio and video streams in a generic approach.

CCS Concepts: Human-centered computing --> Visualization systems and tools; Computing methodologies --> Graphics systems and interfaces

Florian Frieß, Christoph Müller, and Thomas Ertl

Vision, Modeling, and Visualization

Practical Visualization

127

135

Related Organizations
Keywords

Graphics systems and interfaces, Visualization systems and tools, Human centered computing, Computing methodologies

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!