2023 - Research.com Electronics and Electrical Engineering 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.
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
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.
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
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.
Distributed Video Coding
B. Girod;A.M. Aaron;S. Rane;D. Rebollo-Monedero.
Proceedings of the IEEE (2005)
Watermarking of uncompressed and compressed video
Frank Hartung;Bernd Girod.
Signal Processing (1998)
Analysis of video transmission over lossy channels
K. Stuhlmuller;N. Farber;M. Link;B. Girod.
IEEE Journal on Selected Areas in Communications (2000)
Wyner-Ziv coding of motion video
A. Aaron;Rui Zhang;B. Girod.
asilomar conference on signals, systems and computers (2002)
What's wrong with mean-squared error?
Digital images and human vision (1993)
Transform-domain Wyner-Ziv codec for video
Anne Aaron;Shantanu D. Rane;Eric Setton;Bernd Girod.
visual communications and image processing (2004)
Compression with side information using turbo codes
A. Aaron;B. Girod.
data compression conference (2002)
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)
Long-term memory motion-compensated prediction
T. Wiegand;Xiaozheng Zhang;B. Girod.
IEEE Transactions on Circuits and Systems for Video Technology (1999)
Scalar Costa scheme for information embedding
J.J. Eggers;R. Bauml;R. Tzschoppe;B. Girod.
IEEE Transactions on Signal Processing (2003)
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