Holger Meuel studied electrical engineering at the Technische Universität (TU) Braunschweig with a focus on signal processing and communication techniques (especially DVB-T/T2). He wrote his diploma thesis with the title Kanalmessungen mit DVB-T und Matlab ("Channel Analysis with DVB-T and Matlab") at the Institut für Nachrichtentechnik (IfN), Abteilung Elektronische Medien: Systemtheorie und Technik ("Institute for Communications Technology, Department of Electronic Media: System Theory and Technology", Prof. Dr.-Ing. Ulrich Reimers) at the TU Braunschweig and received his Dipl.-Ing. degree in April 2010.

After graduation he joined the Institut für Informationsverarbeitung (TNT) of the Leibniz Universität Hannover where he was the senior engineer ("Oberingenieur") from Sept. 2010 to Sept. 2017, being responsible for internal and external representation of the institute (students, academic and industrial guests) as well as administrative and organizational tasks.

Holger attended several standardization meetings for the video coding standard "High Efficiency Video Coding" (HEVC) of the MPEG and VCEG "Joint Collaborative Team on Video Coding" (JCT-VC). In that context he also dealt with radial camera lens distortion compensation, perspective aberration correction, scalable video coding and screen content coding. He filed two patent applications (see below).

His current research interests are video coding with special focus on low bitrate region of interest (ROI) video coding for aerial surveillance applications.

He received his Dr.-Ing. (Ph.D.) on August 5th, 2019 from the Faculty of Electrical Engineering and Computer Science of the Leibniz Universität Hannover for his thesis entitled "Analysis of Affine Motion-Compensated Prediction and its Application in Aerial Video Coding".

Links of Interest:

Aerial Video Testset

• TNT Aerial Video Testset (TAVT)

Demo Laptop: ROI Coding using AVC and HEVC

• Region of Interest (ROI)-based Video Coding

Open Hiwi positions

• Literaturrecherche: Machine-Learning-Systeme zur automatischen Auswertung medizinischer Studien
• Maschinelles Lernen zur Volltextsanalyse für die Zulassung von Arzneimitteln und Medizinprodukten
• Videocodierung für tieffliegende Drohnen (in Zusammenarbeit mit Martin Benjak)
• Setup of a hardware demonstrator for the project Physical High Dynamic Range (HDR) Imaging with Conventional Sensors (publication available below)
• Effiziente Codierung von Sportübertragungen mit lokalisierter Bandenwerbung (ManiCode)

Open Theses

• Maschinelles Lernen zur Volltextsanalyse für die Zulassung von Arzneimitteln und Medizinprodukten
• Videocodierung für tieffliegende Drohnen
• Other theses topics are available on demand

Awards

Supervised Theses and Student Works

• Änderungsdetektion in Luftbildern aus niedrigen und mittleren Höhen (mit Hilfe künstlicher Intelligenz in Form des künstlichen neuronalen Netzes DeepLabV3) (Masterarbeit, 2019/2020)
• Affine and simplified affine motion compensation in video coding (2017/2018)
• Effiziente und echtzeitfähige Erstellung und Codierung von mit überlagerten Inhalten erweiterten TV-Übertragungen (siehe Projekt Manicode, 2016-2018)
• Globale Bewegungsschätzung mit beschränkten Parametern (Bachelorarbeit Stephan Ferenz, 2016)
• Moving Object Detector Improvement by Considering Multiple GMC Images for ROI-based Video Coding Systems (2014)
• Color-based Moving Object Detection for Aerial Surveillance Videos (2013/2014)
• Multiple People Tracking for Aerial Surveillance Videos (2013)
• Visualisierung von Objekttrajektorien in einem Mosaik (Bachelorarbeit, 2013)
• Bewegungsunschärfekompensation zur Verbesserung der Prädiktion in der skalierbaren Videocodierung (Diplomarbeit Thorsten Laude, 2012/2013)
• Several Research Assistents (RA) (>15) supervised (2010-today)