World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
18956
World Ranking
3555
National Ranking
157

Research.com Recognitions

  • 2015 - IEEE Fellow For contributions to video coding research and standardization

Overview

Detlev Marpe is affiliated with the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute in Germany. The scientist specializes in the field of Computer Science, with a focus on subfields such as Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering, Artificial Intelligence, and Media Technology.

The research of Detlev Marpe primarily addresses topics including Video Coding and Compression Technologies, Advanced Data Compression Techniques, Advanced Image Processing Techniques, Advanced Vision and Imaging, Image and Video Quality Assessment, Image Enhancement Techniques, and Advanced Neural Network Applications.

Frequent co-authors collaborating with Detlev Marpe include:

  • Heiko Schwarz
  • Thomas Wiegand
  • Jonathan Pfaff
  • Benjamin Bross
  • Adam Wieckowski

Detlev Marpe has published extensively in several venues. The most frequent publication venues are:

  • arXiv (Cornell University)
  • 2022 IEEE International Conference on Image Processing (ICIP)
  • IEEE Transactions on Image Processing
  • Signal Processing Image Communication
  • IEEE Transactions on Circuits and Systems for Video Technology

Some representative recent papers authored or co-authored by Detlev Marpe include:

  • "Overview of the Screen Content Support in VVC: Applications, Coding Tools, and Performance," 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • "Compression efficiency analysis of AV1, VVC, and HEVC for random access applications," 2021, APSIPA Transactions on Signal and Information Processing
  • "VVC Search Space Analysis Including an Open, Optimized Implementation," 2022, IEEE Transactions on Consumer Electronics
  • "Optimized Decoding-Energy-Aware Encoding In Practical VVC Implementations," 2022, 2022 IEEE International Conference on Image Processing (ICIP)
  • "Intra-Inter Prediction for Versatile Video Coding Using a Residual Convolutional Neural Network," 2022, 2022 IEEE International Conference on Image Processing (ICIP)

In 2015, Detlev Marpe was recognized as an IEEE Fellow for contributions to video coding research and standardization.

Best Publications

  • Overview of the Scalable Video Coding Extension of the H.264/AVC Standard

    H. Schwarz;D. Marpe;T. Wiegand

  • Context-based adaptive binary arithmetic coding in the H.264/AVC video compression standard

    D. Marpe;H. Schwarz;T. Wiegand

  • Video coding with H.264/AVC: tools, performance, and complexity

    J. Ostermann;J. Bormans;P. List;D. Marpe

  • The H.264/MPEG4 advanced video coding standard and its applications

    D. Marpe;T. Wiegand;G.J. Sullivan

  • Arithmetic coding for transforming video and picture data units

    Detlev Marpe;Heiko Schwarz;Thomas Wiegand

  • Analysis of Hierarchical B Pictures and MCTF

    Heiko Schwarz;Detlev Marpe;Thomas Wiegand

  • 3D High-Efficiency Video Coding for Multi-View Video and Depth Data

    K. Muller;H. Schwarz;D. Marpe;C. Bartnik

  • Performance comparison of H.265/MPEG-HEVC, VP9, and H.264/MPEG-AVC encoders

    Dan Grois;Detlev Marpe;Amit Mulayoff;Benaya Itzhaky

  • Block Merging for Quadtree-Based Partitioning in HEVC

    P. Helle;S. Oudin;B. Bross;D. Marpe

  • Video frame encoding and decoding

    Detlev Marpe;Heiko Schwarz;Thomas Wiegand

  • Video Compression Using Nested Quadtree Structures, Leaf Merging, and Improved Techniques for Motion Representation and Entropy Coding

    Detlev Marpe;Heiko Schwarz;Sebastian Bosse;Benjamin Bross

  • Overview of the Scalable H.264/MPEG4-AVC Extension

    Heiko Schwarz;Detlev Marpe;Thomas Wiegand

  • Method and apparatus for binarization and arithmetic coding of a data value

    Detlev Marpe;Heiko Schwarz;Thomas Wiegand

  • Very low bit-rate video coding using wavelet-based techniques

    D. Marpe;H.L. Cycon

  • Constrained inter-layer prediction for single-loop decoding in spatial scalability

    H. Schwarz;T. Hinz;D. Marpe;T. Wiegand

  • H.264/MPEG4-AVC fidelity range extensions: tools, profiles, performance, and application areas

    D. Marpe;T. Wiegand;S. Gordon

  • Vvenc: An Open And Optimized Vvc Encoder Implementation

    Adam Wieckowski;Jens Brandenburg;Tobias Hinz;Christian Bartnik

  • Coding of a syntax element contained in a pre-coded video signal

    Detlev Marpe;Heiko Schwarz;Thomas Wiegand

  • Performance evaluation of Motion-JPEG2000 in comparison with H.264/AVC operated in pure intracoding mode

    Detlev Marpe;Valeri George;Hans L. Cycon;Kai Uwe Barthel

  • Overview of the Range Extensions for the HEVC Standard: Tools, Profiles, and Performance

    David Flynn;Detlev Marpe;Matteo Naccari;Tung Nguyen

  • Block merging for quadtree-based partitioning in HEVC

    Benjamin Bross;Simon Oudin;Philipp Helle;Detlev Marpe

Frequent Co-Authors

Thomas Wiegand
Thomas Wiegand Technical University of Berlin
Heiko Schwarz
Heiko Schwarz Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Thomas Schierl
Thomas Schierl Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Thomas C. Schmidt
Thomas C. Schmidt Hamburg University of Applied Sciences
Wojciech Samek
Wojciech Samek Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Gitta Kutyniok
Gitta Kutyniok Ludwig-Maximilians-Universität München
Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin
Marta Karczewicz
Marta Karczewicz Qualcomm (United States)
Remco C. Veltkamp
Remco C. Veltkamp Utrecht University
Thomas Stockhammer
Thomas Stockhammer Qualcomm (Germany)

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