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The chair of „Embedded Systems Architectures for Signalprocessing“ has been established as a joint appointment of the University of Potsdam and the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Berlin / Germany. The research activities are focused on three main areas Image- and Videoprocessing, Hardware Architectures and HW/SW Co-Design Methodologies.
Chairholder is Prof. Dr.-Ing. Benno Stabernack.
DASIP 2019 Paper on processing of Time of Flight sensor data accepted
Our Paper entitled " Using Time-of-Flight Sensors for People Counting Applications" authored by Michal Stec, Viktor Herrmann and Benno Stabernack, has been accepted for presentation on the
The Conference on Design and Architectures for Signal and Image Processing DASIP 2019
16 - 18 October, 2019, Montréal, Canada
July 19th, 2019
Paper on sensor data fusion for people counting application accepted
Our Paper entitled " Multi-Sensor-Fusion System for People Counting
Applications" authored by Michal Stec, Viktor Herrmann and Benno Stabernack, has been accepted for presentation on the first international
Societal Automation Conference SA 2019
Technological & Architectural Frameworks
Krakow, 4-6 September 2019
July 12th, 2019
Benno Stabernack participate MPEG125 / ITU VCEG/JCT-VC/JVET Meeting Marrakesh , Morocco
As part of ITU VCEG/JCT-VC/JVET expert team Prof. Benno Stabernack has the great honor to participate the MPEG/ITU meeting in Marrakesh, Morocco from January 9-18 to work on the next upcoming video coding standard VVC.
January 9nd, 2019
Public Demonstration of HNAA Cloud Computing Accelerator
As part of the M3D final workshop, we were able to demonstrate our concept for accelerating compute-intensive workloads in the cloud.
The HNAA (Heterogeneous Network Attached Accelerator) named concept consists of the combination of GPGPUs, FPGAs and computing cores, which are available to the user via a OpenStack cloud infrastructure.
November 29nd, 2018
Call for Paper for the upcoming International Conference on Architecture of Computing Systems (ARCS 2019) has been published.
September 22nd, 2018
Benno Stabernack member of ARCS 2019 program committee
Prof. Benno Stabernack, has been invited to join the program committee of the International Conference on Architecture of Computing Systems (ARCS 2019) to be held from May 20, 2019 through May 23, 2019 in Copenhagen, Denmark.
September 22nd, 2018
We welcome our new group member Tim Jacquemot at the chair of "Embedded Systems Architectures for Signal Processing". He will work in the field of algorithmic complexity of video signal processing.
2nd May, 2018
Our former Group Member Jens Brandenburg completed his dissertation entitled „Generische Analysemethoden für den Systementwurf heterogener eingebetteter Mehrkernsysteme“ ("Generic Analysis Methods for the Design of Heterogeneous Embedded Multi-Core Systems") at the Friedrich-Alexander-University (FAU) Erlangen-Nuremberg with magna cum laude.
The examination board chaired by Prof. Dr.-Ing. Felix Freiling (FAU Erlangen-Nuremberg) consisted of the first expert Prof. Dr.-Dietmar Fey (FAU Erlangen-Nuremberg), the second expert Prof. Dr.-Ing. Benno Stabernack (University of Potsdam/Fraunhofer HHI) and the third examiner Prof. Dr.-Ing. André Kaup (FAU Erlangen-Nuremberg).
Jens Brandenburg took up his work at Fraunhofer HHI in 2006 as a research associate in the Embedded Systems research group. He is now active in the Image and Video Coding group.
20th March 2018
Project start research project "Next Generation Video Coding"
Dec. 1st 2017 the project "Next Generation Video Coding" started at the department.
With the increase in coding efficiency of the latest video coding methods, there is also a drastic increase in the complexity of the algorithms used and thus also in the required computational requirements.
The project is dedicated to the analysis, optimization and design of video coding techniques with a focus on cost-effective hardware implementations.
Within the next days, we will publish an official job offer for a research position in this project.
Dec. 1st, 2017