Zum Hauptinhalt springen
TU Graz/ TU Graz/ Services/ News+Stories/

New Streaming Technology Will Change Computer Gaming

12/02/2019 | TU Graz news | Research

By Christoph Pelzl

Dieter Schmalstieg, a researcher at Graz University of Technology, is working on a method combining the advantages of cloud computing and virtual reality. This method will allow computer games to be displayed on inexpensive VR headsets in unsurpassed quality.

A streaming method developed at Graz University of Technology enables unlimited gaming fun with VR glasses. © Jan Vašek - Pixabay

Streaming services, such as Netflix or Amazon Prime, are widely used. But the next wave of digital media is imminent: cloud gaming. This technology is similar to video-on-demand services. A computer game is run on a server in the cloud. The players access the server via an internet connection and receive an audio/video stream on their personal device. Players no longer have to own a powerful gaming device; instead, they just need a fast internet connection, capable of streaming large amounts of data from the cloud with low latency.

Cloud computing has the potential to elevate VR games to the next level. However, the bandwidth requirements are still challenging. A fluid VR display requires up to 10x more computational performance to generate enough pixels and enough frames per second. Traditional video transmission is easily pushed beyond its limits. Dieter Schmalstieg, head of the Institute of Computer Graphics and Vision, and his team have developed a novel method unlocking a breakthrough potential for untethered VR experiences.

Drastic latency improvements

Their method, called “shading atlas streaming”, can deliver compelling VR experiences with significantly fewer bits per second transmitted over the network. Schmalstieg explains, “We are not streaming videos, but geometrically encoded data, which is decoded on the VR headset and converted into an image.”

Latency – the temporal delay caused by signal transmission, storage or processing of data packets – is compensated for by the system. “It is physically impossible to remove all latency. But our encoding allows correct images to be predicted for a small temporal window into the future. As a result, physical latency is compensated for, and the user does not perceive any delays,” says Schmalstieg. Only a few pixel errors from mispredictions remain – too few to be perceived by the users.

An interview with Dieter Schmalstieg about inventions and how they change the world can be read on Planet Research.

Efficient use of existing hardware

In practice, it is important to be able to integrate the new technology into existing infrastructure. For this purpose, the researchers use conventional MPEG video compression to encode and transmit the data. MPEG decoding capabilities already exist in VR headsets. Therefore, Shading Atlas Streaming can be used without investing in new hardware.

Shading Atlas Streaming is generally applicable to all areas involving 3D data and VR headsets. The researchers are working with US chip manufacturer Qualcomm on commercial exploitation of their research results.

This video is hosted by Youtube, clicking on it will send data to Youtube. The privacy policy of Youtube applies.
Play video

This video clip covers the shading atlas streaming

This research project is anchored in the field of expertise "Information, Communication & Computing“, one of the five strategic focal areas of TU Graz.


Dieter Schmalstieg is a pioneering researcher in the area of Augmented Reality and Virtual Reality. In 2017, he received the Nikola Tesla Medal as the most successful inventor at Graz University of Technology. In 2019, he received the Research Award of the Federal State of Styria.


Univ.-Prof. Dipl.-Ing. Dr.techn.
TU Graz | Institute of Computer Graphics and Vision
Inffeldgasse 16/II, 8010 Graz

The "Shading Atlas Streaming" method ensures a smooth virtual reality experience. © Jan Vašek - Pixabay
Dieter Schmalstieg has been professor at the Institute for Machine Vision and Presentation since 2004. He is one of the most successful inventors at Graz University of Technology. © Schmalstieg