H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 102 Citations 38,994 530 World Ranking 135 National Ranking 83

Research.com Recognitions

Awards & Achievements

2015 - Member of the National Academy of Engineering For contributions to video compression, streaming, and multimedia systems.

1998 - IEEE Fellow For contributions to the theory and practice of video communication.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Computer network

Bernd Girod mostly deals with Artificial intelligence, Computer vision, Data compression, Algorithm and Motion compensation. His studies deal with areas such as Bitstream and Pattern recognition as well as Artificial intelligence. His study connects Coding tree unit and Computer vision.

His work deals with themes such as Vector quantization, Transform coding, Discrete cosine transform, Decoding methods and Image compression, which intersect with Data compression. His Algorithm study incorporates themes from Entropy, Theoretical computer science and Lagrange multiplier. His research on Motion compensation also deals with topics like

  • Codec and related Encoder and Block-matching algorithm,
  • Motion estimation together with Linear prediction.

His most cited work include:

  • Distributed Video Coding (1219 citations)
  • Watermarking of uncompressed and compressed video (759 citations)
  • Analysis of video transmission over lossy channels (750 citations)

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

His main research concerns Artificial intelligence, Computer vision, Algorithm, Computer network and Data compression. His Artificial intelligence research includes themes of Coding and Pattern recognition. His research integrates issues of Encoder and Theoretical computer science in his study of Algorithm.

His biological study spans a wide range of topics, including Distributed computing, Real-time computing and Video quality. Bernd Girod combines subjects such as Decoding methods, Image compression and Light field with his study of Data compression. His research investigates the connection with Motion compensation and areas like Multiview Video Coding which intersect with concerns in Scalable Video Coding and Video compression picture types.

He most often published in these fields:

  • Artificial intelligence (42.65%)
  • Computer vision (36.60%)
  • Algorithm (18.95%)

What were the highlights of his more recent work (between 2010-2021)?

  • Artificial intelligence (42.65%)
  • Computer vision (36.60%)
  • Pattern recognition (9.80%)

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

Bernd Girod mainly investigates Artificial intelligence, Computer vision, Pattern recognition, Image retrieval and Visual search. His Artificial intelligence research focuses on subjects like Information retrieval, which are linked to Frame. Bernd Girod interconnects Key and Virtual reality in the investigation of issues within Computer vision.

His Pattern recognition study also includes

  • Histogram of oriented gradients that intertwine with fields like Local binary patterns,
  • Histogram which is related to area like Image histogram. His Data compression study combines topics in areas such as Decoding methods, Motion compensation and Video compression picture types. As a part of the same scientific study, he usually deals with the Motion compensation, concentrating on Multiview Video Coding and frequently concerns with Video quality.

Between 2010 and 2021, his most popular works were:

  • Robust text detection in natural images with edge-enhanced Maximally Stable Extremal Regions (340 citations)
  • City-scale landmark identification on mobile devices (339 citations)
  • Describing clothing by semantic attributes (330 citations)

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

  • Artificial intelligence
  • Computer vision
  • Computer network

His scientific interests lie mostly in Artificial intelligence, Computer vision, Image retrieval, Pattern recognition and Visual search. His Artificial intelligence research integrates issues from Construct, Machine learning and Mobile device. His study in the field of Augmented reality is also linked to topics like Omnidirectional antenna.

Bernd Girod works mostly in the field of Pattern recognition, limiting it down to concerns involving Robustness and, occasionally, Edge detection, Image warping, Authentication, Distributed source coding and Affine transformation. His work carried out in the field of Feature brings together such families of science as Algorithm and Image. His Codebook research is multidisciplinary, relying on both Decoding methods and Data compression.

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

Distributed Video Coding

B. Girod;A.M. Aaron;S. Rane;D. Rebollo-Monedero.
Proceedings of the IEEE (2005)

1729 Citations

Watermarking of uncompressed and compressed video

Frank Hartung;Bernd Girod.
Signal Processing (1998)

1224 Citations

Analysis of video transmission over lossy channels

K. Stuhlmuller;N. Farber;M. Link;B. Girod.
IEEE Journal on Selected Areas in Communications (2000)

970 Citations

Wyner-Ziv coding of motion video

A. Aaron;Rui Zhang;B. Girod.
asilomar conference on signals, systems and computers (2002)

789 Citations

What's wrong with mean-squared error?

Bernd Girod.
Digital images and human vision (1993)

760 Citations

Transform-domain Wyner-Ziv codec for video

Anne Aaron;Shantanu D. Rane;Eric Setton;Bernd Girod.
visual communications and image processing (2004)

608 Citations

Compression with side information using turbo codes

A. Aaron;B. Girod.
data compression conference (2002)

587 Citations

Long-term memory motion-compensated prediction

T. Wiegand;Xiaozheng Zhang;B. Girod.
IEEE Transactions on Circuits and Systems for Video Technology (1999)

561 Citations

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

Gabriel Takacs;Vijay Chandrasekhar;Natasha Gelfand;Yingen Xiong.
multimedia information retrieval (2008)

530 Citations

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

Huizhong Chen;Sam S. Tsai;Georg Schroth;David M. Chen.
international conference on image processing (2011)

528 Citations

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