Dr.-Ing. Cornelius Hellge


Cornelius Hellge is heading the Multimedia Communications Group at Fraunhofer Heinrich Hertz Institute since 2015. He received the Dipl.-Ing. degree in Media Technology from the Ilmenau University of Technology in 2006 and the Dr.-Ing. degree with distinction (summa cum laude) from the Berlin University of Technology in 2013.

In 2014 he was Visiting Researcher at the Massachusetts Institute of Technology in the Network Coding and Reliable Communications Group of Prof. Medard.

He is responsible for various scientific as well as industry-funded projects. Together with his team, he is regularly contributing to 3GPP (RAN1, RAN2, SA4), MPEG, IETF, JCT-VC and JVET.

He has authored more than 60 journal and conference papers, predominantly in the area of video communication and mobile networks, he received the best paper award from the IEEE ICCE’14 conference and he holds more than 40 internationally issued patents and patent applications in these fields.

His current research interest is in development of new formats for volumetric video for mixed reality, system integration of the new video codec VVC, and the further evolution of the 5G standard.

Main Research Topics


We explore ways to efficiently stream volumetric videos over 5G networks. Our work focuses on development of a volumetric video streaming system that offloads the rendering to a powerful cloud/edge server and only sends the rendered 2D view to the client instead of the full volumetric content.


VVC High-Level Syntax

Considerable progress has been made in the field of video coding [e.g., versatile video coding (VVC)] for the purpose of improving compression efficiency (e.g., reducing the amount of data needed to store or transmit a video). Just as relevant, however, is the progress that has been made in enabling video applications through design of the codec high-level syntax and the system integration.


5G Predictive HARQ

HARQ is a physical layer mechanism provides retransmissions based on the feedback to increase robustness. Predicitve HARQ focuses on providing the HARQ feedback earlier by predicting the decoding outcome, designated as Early HARQ (E-HARQ).


Selected Tutorials and Videos

Interview with Fraunhofer HHI expert Dr. Cornelius Hellge, where he talks about the new remote rendering streaming system for Volumetric Video and its application on Mixed Reality glasses and smartphones.

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