Biography - Detlev Marpe

received the Dipl.-Math. degree (with highest honors) from Technical University Berlin, Germany, and the Dr.-Ing. degree from University of Rostock, Germany. In 1999, he joined the Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute (HHI), where as Chief Scientist and Senior Project Manager, he is currently responsible for research projects focused on the development of advanced video coding and video transmission technologies.

For many years, he has been an active contributor to the standardization activities of ITU-T VCEG, ISO/IEC JPEG, and ISO/IEC MPEG for still image and video coding. In the recent development of the H.264 | MPEG-4 Advanced Video Coding (AVC) standard, he was chief architect of the CABAC entropy coding scheme as well as one of the main technical and editorial contributors to the so-called Fidelity Range Extensions (FRExt) with the addition of the High Profiles in H.264 | MPEG-4 AVC. He was also one of the key people in designing and promoting the basic architecture of Scalable Video Coding (SVC) as an algorithmic and syntactical extension of H.264 | MPEG-4 AVC.  

As a key contributor and co-editor of the H.264 | MPEG-4 AVC standard, he was co-recipient of two Emmy Engineering Awards in 2008 and 2009. He also received the 2009 Best Paper Award of the IEEE Circuits and Systems Society, the Joseph-von-Fraunhofer Prize 2004 and the Best Paper Award of the German Information Technology Society in 2004. As a co-founder of the Berlin-based daviko GmbH, he was winner of the Prime Prize of the 2001 Multimedia Start-Up Competition of the German Federal Ministry of Economics and Technology.

Dr. Marpe is author or co-author of more than 150 publications in the area of image coding and signal processing, and he holds more than 100 internationally issued patents and patent applications in this field. He is an IEEE Senior Member and Member of the ITG (German Information Technology Society). His current research interests include digital image and video coding, signal processing for communications as well as computer vision and information theory.