World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
15875
World Ranking
8582
National Ranking
262

Research.com Recognitions

  • 2015 - IEEE Fellow For contributions to image and video communications

Overview

David Taubman is affiliated with the University of New South Wales in Australia and has contributed extensively to the field of computer science, focusing predominantly on computer vision and pattern recognition. Their research spans several subfields including signal processing, media technology, molecular biology, and artificial intelligence.

The scientist's publications cover various main topics of work such as:

  • Advanced Vision and Imaging
  • Video Coding and Compression Technologies
  • Advanced Data Compression Techniques
  • Image and Signal Denoising Methods
  • Advanced Image Processing Techniques
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques

Frequent venues where their work has been published include:

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

Coauthors with whom David Taubman has collaborated frequently include:

  • Aous Thabit Naman
  • Manoranjan Paul
  • Manzur Murshed
  • Sean I. Young
  • Bernd Girod

Selected recent papers illustrate the range and focus of scholarship:

  • "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
  • "Efficient Scalable UHD/360-Video Coding by Exploiting Common Information With Cuboid-Based Partitioning," 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • "A Commonality Modeling Framework for Enhanced Video Coding Leveraging on the Cuboidal Partitioning Based Representation of Frames," 2021, IEEE Transactions on Multimedia

David Taubman's contributions have been recognized by the IEEE with a Fellow award in 2015, citing their work in image and video communications.

Best Publications

  • JPEG2000 : image compression fundamentals, standards, and practice

    David S. Taubman;Michael W. Marcellin

  • High performance scalable image compression with EBCOT

    D. Taubman

  • Multirate 3-D subband coding of video

    D. Taubman;A. Zakhor

  • Embedded block coding in JPEG 2000

    David Taubman;Erik Ordentlich;Marcelo J. Weinberger;Gadiel Seroussi

  • JPEG2000: standard for interactive imaging

    D.S. Taubman;M.W. Marcellin

  • Lifting-based invertible motion adaptive transform (LIMAT) framework for highly scalable video compression

    A. Secker;D. Taubman

  • Motion-compensated highly scalable video compression using an adaptive 3D wavelet transform based on lifting

    A. Secker;D. Taubman

  • Embedded block coding in JPEG2000

    D. Taubman;E. Ordentlich;M. Weinberger;G. Seroussi

  • Highly scalable video compression with scalable motion coding

    A. Secker;D. Taubman

  • Architecture, philosophy, and performance of JPIP: internet protocol standard for JPEG2000

    David S. Taubman;Robert Prandolini

  • IMAGE INFORMATION COMBINING METHOD

    Taubman David S

  • Embedded block coding with optimized truncation

    David S. Taubman

  • A Mathematical Model of Human Semicircular Canal Geometry: A New Basis for Interpreting Vestibular Physiology

    Andrew P. Bradshaw;Andrew P. Bradshaw;Ian S. Curthoys;Michael J. Todd;John S. Magnussen

  • Orientation adaptive subband coding of images

    D. Taubman;A. Zakhor

  • Highly scalable video compression using a lifting-based 3D wavelet transform with deformable mesh motion compensation

    A. Secker;D. Taubman

  • On the benefits of leaf merging in quad-tree motion models

    R. De Forni;D.S. Taubman

  • Apparatus and method of increasing scanner resolution

    Yucel Altunbasak;David S. Taubman

  • IMAGE COMPRESSING DEVICE

    David S Taubman;Christos Kurisafisu;Eric Oodentorihi

  • Adaptive, non-separable lifting transforms for image compression

    D. Taubman

  • Rate-distortion optimized interactive browsing of JPEG2000 images

    D. Taubman;R. Rosenbaum

Frequent Co-Authors

Michael W. Marcellin
Michael W. Marcellin University of Arizona
Avideh Zakhor
Avideh Zakhor University of California, Berkeley
Bernd Girod
Bernd Girod Stanford University
Ruiqin Xiong
Ruiqin Xiong Peking University
Nigel H. Lovell
Nigel H. Lovell University of New South Wales
Gadiel Seroussi
Gadiel Seroussi University of the Republic
Jinhong Yuan
Jinhong Yuan University of New South Wales
Vijay Sivaraman
Vijay Sivaraman University of New South Wales
G. Michael Halmagyi
G. Michael Halmagyi Royal Prince Alfred Hospital
Adeel Razi
Adeel Razi Monash University

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