World's Best Scientists 2026 revealed!
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Electronics and Electrical Engineering
USA
2026
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Computer Science
USA
2023

D-Index & Metrics

Computer Science

D-Index
104
Citations
42551
World Ranking
311
National Ranking
171

Electronics and Electrical Engineering

D-Index
103
Citations
40704
World Ranking
158
National Ranking
77

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2015 - Member of the National Academy of Engineering For contributions to video compression, streaming, and multimedia systems.
  • 2007 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Informatics
  • 1998 - IEEE Fellow For contributions to the theory and practice of video communication.

Overview

Bernd Girod is affiliated with Stanford University in the United States. Their research primarily focuses on computer science with a significant concentration in computer vision and pattern recognition. Other areas of study include signal processing, media technology, computational mechanics, and neurology.

Girod's work spans several main topics which feature prominently in their publications:

  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Image and Signal Denoising Methods
  • Video Surveillance and Tracking Methods
  • Advanced Image Fusion Techniques
  • Sparse and Compressive Sensing Techniques
  • Advanced Vision and Imaging

Their recent papers demonstrate an emphasis on topics related to video and image processing. Notable publications include:

  • "Transform Quantization for CNN (Convolutional Neural Network) Compression," 2020, arXiv (Cornell University)
  • "Gaussian Lifting for Fast Bilateral and Nonlocal Means Filtering," 2020, IEEE Transactions on Image Processing
  • "Fast Optical Flow Extraction From Compressed Video," 2020, IEEE Transactions on Image Processing
  • "Transform Quantization for CNN Compression," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "HSMF-Net: Semantic Viewport Prediction for Immersive Telepresence and On-Demand 360-degree Video," 2020, arXiv (Cornell University)

Frequent collaborators with Girod include Sean I. Young, David Taubman, Zhe Wang, Tamay Aykut, and Eckehard Steinbach. These coauthors appear consistently across multiple publications, indicating ongoing research partnerships.

Girod's research has been published mainly in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

The scientist has received several awards over their career. They were elected as a member of the National Academy of Engineering in 2015 for contributions to video compression, streaming, and multimedia systems. Girod is also a fellow of the IEEE since 1998 for contributions to the theory and practice of video communication. Additionally, they are a member of the German National Academy of Sciences Leopoldina since 2007, recognized in informatics.

Best Publications

  • Distributed Video Coding

    B. Girod;A.M. Aaron;S. Rane;D. Rebollo-Monedero

  • Watermarking of uncompressed and compressed video

    Frank Hartung;Bernd Girod

  • Analysis of video transmission over lossy channels

    K. Stuhlmuller;N. Farber;M. Link;B. Girod

  • What's wrong with mean-squared error?

    Bernd Girod

  • Wyner-Ziv coding of motion video

    A. Aaron;Rui Zhang;B. Girod

  • Robust text detection in natural images with edge-enhanced Maximally Stable Extremal Regions

    Huizhong Chen;Sam S. Tsai;Georg Schroth;David M. Chen

  • Transform-domain Wyner-Ziv codec for video

    Anne Aaron;Shantanu D. Rane;Eric Setton;Bernd Girod

  • Compression with side information using turbo codes

    A. Aaron;B. Girod

  • Long-term memory motion-compensated prediction

    T. Wiegand;Xiaozheng Zhang;B. Girod

  • Scalar Costa scheme for information embedding

    J.J. Eggers;R. Bauml;R. Tzschoppe;B. Girod

  • Compressed Histogram of Gradients: A Low-Bitrate Descriptor

    Vijay Chandrasekhar;Gabriel Takacs;David M. Chen;Sam S. Tsai

  • City-scale landmark identification on mobile devices

    David M. Chen;Georges Baatz;Kevin Koser;Sam S. Tsai

  • Describing clothing by semantic attributes

    Huizhong Chen;Andrew Gallagher;Bernd Girod

  • Watermarking method and apparatus for compressed digital video

    Bernd Girod;Frank H. D. Hartung

  • Outdoors augmented reality on mobile phone using loxel-based visual feature organization

    Gabriel Takacs;Vijay Chandrasekhar;Natasha Gelfand;Yingen Xiong

  • A Framework to Evaluate Omnidirectional Video Coding Schemes

    Matt Yu;Haricharan Lakshman;Bernd Girod

  • Rate-adaptive codes for distributed source coding

    David Varodayan;Anne Aaron;Bernd Girod

  • Layered coding vs. multiple descriptions for video streaming over multiple paths

    J. Chakareski;S. Han;B. Girod

  • Cross-layer design of ad hoc networks for real-time video streaming

    E. Setton;Taesang Yoo;Xiaoqing Zhu;A. Goldsmith

  • Lagrange multiplier selection in hybrid video coder control

    T. Wiegand;B. Girod

Frequent Co-Authors

Eckehard Steinbach
Eckehard Steinbach Technical University of Munich
Vijay Chandrasekhar
Vijay Chandrasekhar Agency for Science, Technology and Research
Thomas Wiegand
Thomas Wiegand Technical University of Berlin
Radek Grzeszczuk
Radek Grzeszczuk Microsoft (United States)
Peter Eisert
Peter Eisert Humboldt-Universität zu Berlin
Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Jatinder Pal Singh
Jatinder Pal Singh Facebook (United States)
Heinrich Niemann
Heinrich Niemann University of Erlangen-Nuremberg
Jacob Chakareski
Jacob Chakareski New Jersey Institute of Technology
Ngai-Man Cheung
Ngai-Man Cheung Singapore University of Technology and Design

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