World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
44314
World Ranking
4419
National Ranking
2063

Research.com Recognitions

  • 2009 - SPIE Fellow
  • 2006 - IEEE Fellow For contributions to video coding and its standardization.

Overview

Gary J. Sullivan is affiliated with Microsoft in the United States. Their research primarily focuses on the field of Computer Science with significant contributions to Video Coding and Compression Technologies.

The scientist has published extensively in the domain, with a total of 17 publications in Computer Science, including 11 in Computer Vision and Pattern Recognition, 6 in Signal Processing, and 3 in Pulmonary and Respiratory Medicine. Their work also spans Media Technology, Image and Video Quality Assessment, and Telecommunications and Broadcasting Technologies.

Key topics of research include:

  • Video Coding and Compression Technologies
  • Advanced Data Compression Techniques
  • Image and Video Quality Assessment
  • Advanced Vision and Imaging
  • Telecommunications and Broadcasting Technologies
  • Speech and Audio Processing
  • Face recognition and analysis

Gary J. Sullivan has collaborated frequently with a set of coauthors, including Ye-Kui Wang, Shan Liu, Jianle Chen, Jens-Rainer Ohm, and Yan Ye.

The scientist's recent papers feature several significant contributions to video coding standards and applications. These include:

  • Overview of the Versatile Video Coding (VVC) Standard and its Applications, 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • Developments in International Video Coding Standardization After AVC, With an Overview of Versatile Video Coding (VVC), 2021, Proceedings of the IEEE
  • Overview of the Screen Content Support in VVC: Applications, Coding Tools, and Performance, 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • The High-Level Syntax of the Versatile Video Coding (VVC) Standard, 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • The Future of Video Coding, 2022, APSIPA Transactions on Signal and Information Processing

The majority of their publications have appeared in IEEE Transactions on Circuits and Systems for Video Technology, with five contributions. Other publication venues include Proceedings of the IEEE, APSIPA Transactions on Signal and Information Processing, arXiv (Cornell University), and European Urology Open Science.

Gary J. Sullivan has been recognized by professional societies with notable distinctions. They were named an IEEE Fellow in 2006 for contributions to video coding and its standardization and received the title of SPIE Fellow in 2009.

Best Publications

  • Overview of the H.264/AVC video coding standard

    T. Wiegand;G.J. Sullivan;G. Bjontegaard;A. Luthra

  • Overview of the High Efficiency Video Coding (HEVC) Standard

    G. J. Sullivan;J. Ohm;Woo-Jin Han;T. Wiegand

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

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

  • Rate-distortion optimization for video compression

    G.J. Sullivan;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

  • Overview of the Versatile Video Coding (VVC) Standard and its Applications

    Benjamin Bross;Ye-Kui Wang;Yan Ye;Shan Liu

  • Video Compression - From Concepts to the H.264/AVC Standard

    G.J. Sullivan;T. Wiegand

  • The H.264/AVC Advanced Video Coding Standard: Overview and Introduction to the Fidelity Range Extensions

    Gary J. Sullivan;Pankaj N. Topiwala;Ajay Luthra

  • Overview of the Stereo and Multiview Video Coding Extensions of the H.264/MPEG-4 AVC Standard

    A Vetro;T Wiegand;G J Sullivan

  • Overlapped block motion compensation: an estimation-theoretic approach

    M.T. Orchard;G.J. Sullivan

  • High Efficiency Video Coding (HEVC)

    Vivienne Sze;Madhukar Budagavi;Gary J. Sullivan

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

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

  • Standardized Extensions of High Efficiency Video Coding (HEVC)

    Gary J. Sullivan;Jill M. Boyce;Ying Chen;Jens-Rainer Ohm

  • Efficient quadtree coding of images and video

    G.J. Sullivan;R.L. Baker

  • Developments in International Video Coding Standardization After AVC, With an Overview of Versatile Video Coding (VVC)

    Benjamin Bross;Jianle Chen;Jens-Rainer Ohm;Gary J. Sullivan

  • Motion compensation for video compression using control grid interpolation

    G.J. Sullivan;R.L. Baker

  • Spatial Scalability Within the H.264/AVC Scalable Video Coding Extension

    C.A. Segall;G.J. Sullivan

  • System and method for layered video coding enhancement

    Jeremy De Bonet;Gary J. Sullivan

  • Efficient scalar quantization of exponential and Laplacian random variables

    G.J. Sullivan

  • Timestamp-independent motion vector prediction for predictive (P) and bidirectionally predictive (B) pictures

    Alexandros Tourapis;Shipeng Li;Feng Wu;Gary J. Sullivan

  • High Efficiency Video Coding (HEVC): Algorithms and Architectures

    Vivienne Sze;Madhukar Budagavi;Gary J. Sullivan

Frequent Co-Authors

Sridhar Srinivasan
Sridhar Srinivasan Microsoft (United States)
Thomas Wiegand
Thomas Wiegand Technical University of Berlin
Xu Jizheng
Xu Jizheng ByteDance
Feng Wu
Feng Wu University of Science and Technology of China
Henrique S. Malvar
Henrique S. Malvar Microsoft (United States)
Anthony Vetro
Anthony Vetro Mitsubishi Electric (United States)
Faouzi Kossentini
Faouzi Kossentini Intel (United States)
Heiko Schwarz
Heiko Schwarz Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Jill Macdonald Boyce
Jill Macdonald Boyce Intel (United States)

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