World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
20139
World Ranking
5477
National Ranking
252

Overview

Heiko Schwarz is affiliated with the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute in Germany. The main focus of their research lies within the field of Computer Science, with particular emphasis on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Neurology, and Electrical and Electronic Engineering.

The researcher has contributed extensively to the areas of Video Coding and Compression Technologies, Advanced Data Compression Techniques, Advanced Vision and Imaging, Advanced Image Processing Techniques, Advanced Neural Network Applications, Image Enhancement Techniques, and Privacy-Preserving Technologies in Data.

Frequent venues for publishing their research include:

  • 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
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Frequent collaborators with Heiko Schwarz consist of the following co-authors:

  • Thomas Wiegand (14 joint publications)
  • Detlev Marpe (13 joint publications)
  • Jonathan Pfaff (11 joint publications)
  • Karsten Müller (5 joint publications)
  • Wojciech Samek (5 joint publications)

Recent papers authored or co-authored by Heiko Schwarz include:

  • "Quantization and Entropy Coding in the Versatile Video Coding (VVC) Standard," 2021, IEEE Transactions on Circuits and Systems for Video Technology

Other recent papers related to video coding and image processing authored by collaborators in associated works are:

  • "Intra-Inter Prediction for Versatile Video Coding Using a Residual Convolutional Neural Network," 2022, 2022 IEEE International Conference on Image Processing (ICIP)
  • "Region-Based Template Matching Prediction for Intra Coding," 2023, IEEE Transactions on Image Processing
  • "A Signal Adaptive Prediction Filter for Video Coding Using Directional Total Variation: Mathematical Framework and Parameter Selection," 2020, IEEE Transactions on Image Processing
  • "Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Best Publications

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

    H. Schwarz;D. Marpe;T. Wiegand

  • Rate-constrained coder control and comparison of video coding standards

    T. Wiegand;H. Schwarz;A. Joch;F. Kossentini

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

    D. Marpe;H. Schwarz;T. Wiegand

  • Comparison of the Coding Efficiency of Video Coding Standards—Including High Efficiency Video Coding (HEVC)

    J. Ohm;G. J. Sullivan;H. Schwarz;Thiow Keng Tan

  • 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 Analysis of SVC

    M. Wien;H. Schwarz;T. Oelbaum

  • 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

  • Method and arrangement for coding transform coefficients in picture and/or video coders and decoders and a corresponding computer program and a corresponding computer-readable storage medium

    Heiko Schwarz;Detlef Marpe;Thomas Wiegand

  • Performance comparison of video coding standards using Lagrangian coder control

    A. Joch;F. Kossentini;H. Schwarz;T. Wiegand

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

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

  • The Scalable Video Coding Extension of the H.264/AVC Standard [Standards in a Nutshell]

    H. Schwarz;M. Wien

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

    Detlev Marpe;Heiko Schwarz;Thomas Wiegand

  • Combined scalability support for the scalable extension of H.264/AVC

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

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

    Heiko Schwarz;Mathias Wien

  • Quality scalable coding

    Detlev Marpe;Martin Winken;Heiko Schwarz;Thomas Wiegand

Frequent Co-Authors

Thomas Wiegand
Thomas Wiegand Technical University of Berlin
Detlev Marpe
Detlev Marpe Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Wojciech Samek
Wojciech Samek Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Gitta Kutyniok
Gitta Kutyniok Ludwig-Maximilians-Universität München
Gary J. Sullivan
Gary J. Sullivan Microsoft (United States)
Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin
Remco C. Veltkamp
Remco C. Veltkamp Utrecht University
Thomas Schierl
Thomas Schierl Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Faouzi Kossentini
Faouzi Kossentini Intel (United States)
Pramod Kumar Meher
Pramod Kumar Meher Sandhaan Labs Private Limited

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