H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 35 Citations 7,602 227 World Ranking 5875 National Ranking 138

Research.com Recognitions

Awards & Achievements

2016 - IEEE Fellow For contributions to visual information processing and coding

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Algorithm

His primary areas of study are Artificial intelligence, Computer vision, Motion estimation, Coding and JPEG 2000. His Artificial intelligence research is multidisciplinary, incorporating elements of Scrambling and Pattern recognition. Frederic Dufaux undertakes interdisciplinary study in the fields of Computer vision and Metric through his works.

The various areas that Frederic Dufaux examines in his Motion estimation study include Motion, Image segmentation and Reference frame. His Coding research includes elements of Encoder, Quantization and Multimedia. He interconnects Image quality, Video tracking, Distortion, Embedded system and Lossless JPEG in the investigation of issues within JPEG 2000.

His most cited work include:

  • A no-reference perceptual blur metric (508 citations)
  • Perceptual Blur and Ringing Metrics: Application to JPEG2000 (435 citations)
  • Motion estimation techniques for digital TV: a review and a new contribution (414 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Artificial intelligence, Computer vision, Coding, Data compression and High dynamic range. His Artificial intelligence study integrates concerns from other disciplines, such as Codec, Encoder and Pattern recognition. His works in Motion compensation, Motion estimation, Multiview Video Coding, Quarter-pixel motion and Block-matching algorithm are all subjects of inquiry into Computer vision.

His study looks at the intersection of Coding and topics like Algorithm with Point cloud. The Data compression study which covers Image compression that intersects with JPEG. Frederic Dufaux combines subjects such as Pixel, Luminance and Backward compatibility with his study of High dynamic range.

He most often published in these fields:

  • Artificial intelligence (55.69%)
  • Computer vision (47.38%)
  • Coding (23.08%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (55.69%)
  • Computer vision (47.38%)
  • High dynamic range (12.00%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, High dynamic range, Algorithm and Coding. The concepts of his Artificial intelligence study are interwoven with issues in Machine learning, Tone mapping and Pattern recognition. His Computer vision research is multidisciplinary, relying on both Video quality and Detector.

The High dynamic range study combines topics in areas such as Brightness, Luminance, High luminance and Rendering. His studies in Algorithm integrate themes in fields like Pixel, Point cloud and Speedup. His study in Coding is interdisciplinary in nature, drawing from both Encoder, Data compression, Residual and Computer engineering.

Between 2015 and 2021, his most popular works were:

  • Lagrangian Multiplier Adaptation for Rate-Distortion Optimization With Inter-Frame Dependency (59 citations)
  • High Dynamic Range Video - From Acquisition, to Display and Applications (43 citations)
  • Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression (28 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Algorithm

His primary scientific interests are in Artificial intelligence, Computer vision, High dynamic range, Tone mapping and Algorithm. His Artificial intelligence study which covers Pattern recognition that intersects with Contextual image classification. As part of his studies on Computer vision, Frederic Dufaux often connects relevant subjects like Detector.

Within one scientific family, Frederic Dufaux focuses on topics pertaining to Human visual system model under High dynamic range, and may sometimes address concerns connected to Perceptual Masking, Display device and Visual artifact. His biological study spans a wide range of topics, including Standardization, Multimedia and Quality of experience. His research in Algorithm intersects with topics in Pixel, Point cloud, Encoder and Coding.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A no-reference perceptual blur metric

P. Marziliano;F. Dufaux;S. Winkler;T. Ebrahimi.
international conference on image processing (2002)

808 Citations

Motion estimation techniques for digital TV: a review and a new contribution

F. Dufaux;F. Moscheni.
Proceedings of the IEEE (1995)

734 Citations

Perceptual Blur and Ringing Metrics: Application to JPEG2000

Pina Marziliano;Frederic Dufaux;Stefan Winkler;Touradj Ebrahimi.
Signal Processing-image Communication (2004)

669 Citations

Efficient, robust, and fast global motion estimation for video coding

F. Dufaux;J. Konrad.
IEEE Transactions on Image Processing (2000)

514 Citations

Scrambling for Privacy Protection in Video Surveillance Systems

F. Dufaux;T. Ebrahimi.
IEEE Transactions on Circuits and Systems for Video Technology (2008)

307 Citations

Badlands of the Republic: Space, Politics and Urban Policy

N. Dahmann;D. Featherstone;W. Larner;E. Swyngedouw.
(2007)

266 Citations

The JPEG XR image coding standard [Standards in a Nutshell]

F. Dufaux;G.J. Sullivan;T. Ebrahimi.
IEEE Signal Processing Magazine (2009)

188 Citations

Subjective assessment of H.264/AVC video sequences transmitted over a noisy channel

F. De Simone;M. Naccari;M. Tagliasacchi;F. Dufaux.
quality of multimedia experience (2009)

174 Citations

Technique for ranking multimedia annotations of interest

Arjen P. deVries;Leonidas Kontothanassis;Michael Sokolov;David E. Kovalcin.
(1998)

168 Citations

Scrambling for Video Surveillance with Privacy

F. Dufaux;T. Ebrahimi.
computer vision and pattern recognition (2006)

160 Citations

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