Dr.-Ing. Cornelius Hellge
      Head of Multimedia Communications Group
Department of Video Coding & Analytics

Fraunhofer Heinrich-Hertz-Institute
Einsteinufer 37
10587 Berlin

phone: +49 30 31002 239

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      [ Bio | Press | Research | Publications | Standardization | Teaching ]  
  Short Bio

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, JCT-VC and JVET. He received the best paper award from the IEEE ICCE'14 conference and has authored more than 60 journal and conference papers, predominantly in the area of video communication and next generation networks and he holds more than 30 internationally issued patents and patent applications in these fields.


February 29, 2018 Fraunhofer HHI presents latest VR and 5G technologies at Mobile World Congress
November 2, 2017 A New Language for VR Streaming: MPEG Technically Finalized First International Standard for VR Streaming
September 15, 2017 Fraunhofer HHI presents MPEG OMAF viewport-dependent VR video streaming using HEVC tiles
September 12, 2017 Fraunhofer HHI with latest VR and AR technologies at IBC in Amsterdam
April 21, 2017 Fraunhofer HHI with latest VR and AR technologies at NAB in Las Vegas

      Tile based HEVC Video for Virtual Reality  
      Fraunhofer HHI's technique for Compressed Domain Tile Aggregation drastically reduces decoder requirements for VR enabling 16K VR video to be packed in 4K resolution. Video quality and resolution is adapted on-the-fly based on user viewport without transcoding.
      Large Scale Data driven Video Analysis  
      Videos have become ubiquitous on the Internet, which profoundly increased the necessity for automatically analyzing their semantic content for vision applications such as classification, recognition, and tracking. Recently, deep learning-based methods have proved to be very successful in automatic analysis of videos.
      Advanced MPEG DASH  
      The combination of Dynamic Adaptive Streaming over HTTP (DASH) with layered codecs, such as SVC and MVC opens up a wide range of possibilities for a more improved usage of network resources.
      Improved DASH over LTE  
      A novel technique, which combines LTE features with knowledge about HTTP Streaming sessions for optimization of the wireless resources. The combined optimization yields an improved transmission of videos over cellular wireless systems which are based on LTE and LTE-Advanced.

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