What is he best known for?
The fields of study he is best known for:
- Algorithm
- Statistics
- Artificial intelligence
Artificial intelligence, Computer vision, Algorithm, Data compression and Digital watermarking are his primary areas of study.
His research integrates issues of Gaussian random field, Authentication and Pattern recognition in his study of Artificial intelligence.
Bede Liu has researched Algorithm in several fields, including Mean squared error and Gaussian process.
His Data compression research focuses on Transform coding and how it relates to Iterative reconstruction.
Bede Liu combines subjects such as Watermark, Embedding, Information hiding and Image processing, Color image with his study of Digital watermarking.
His study in Image processing is interdisciplinary in nature, drawing from both Flashlight, Motion JPEG and Segmentation, Image segmentation.
His most cited work include:
- Rapid scene analysis on compressed video (777 citations)
- New fast algorithms for the estimation of block motion vectors (571 citations)
- A new hardware realization of digital filters (473 citations)
What are the main themes of his work throughout his whole career to date?
Bede Liu mainly focuses on Artificial intelligence, Algorithm, Computer vision, Control theory and Digital filter.
His studies in Artificial intelligence integrate themes in fields like Video post-processing and Pattern recognition.
His Algorithm research integrates issues from Decimation, Mathematical optimization, Iterative reconstruction and Signal processing.
His work in Data compression, Motion compensation, Discrete cosine transform, Segmentation and Motion estimation are all subfields of Computer vision research.
His research in Motion compensation focuses on subjects like Block-matching algorithm, which are connected to Multiview Video Coding.
As a part of the same scientific family, Bede Liu mostly works in the field of Digital filter, focusing on Electronic engineering and, on occasion, Fast Fourier transform.
He most often published in these fields:
- Artificial intelligence (28.34%)
- Algorithm (27.27%)
- Computer vision (25.13%)
What were the highlights of his more recent work (between 2002-2014)?
- Information hiding (8.56%)
- Artificial intelligence (28.34%)
- Embedding (5.88%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Information hiding, Artificial intelligence, Embedding, Digital watermarking and Computer vision.
His study on Information hiding also encompasses disciplines like
- Robustness that intertwine with fields like Algorithm, Hypergeometric distribution, Mathematical optimization and Side information,
- Computer engineering which intersects with area such as Communication theory, Access control, Embedded system and Fault tolerance,
- Noise that connect with fields like Adaptive filter and Image processing,
- Multimedia which connect with Signal processing, Content delivery, World Wide Web and Digital media.
His Artificial intelligence study frequently intersects with other fields, such as Pattern recognition.
His studies deal with areas such as Binary image, Data mining, Jitter and Authentication as well as Embedding.
His work deals with themes such as Watermark and Authentication, Computer security, which intersect with Digital watermarking.
His Computer vision research focuses on Affine transformation and how it connects with Image registration.
Between 2002 and 2014, his most popular works were:
- Data hiding in binary image for authentication and annotation (339 citations)
- Fast authenticated key establishment protocols for self-organizing sensor networks (190 citations)
- Data hiding in image and video .I. Fundamental issues and solutions (188 citations)
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