What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Algorithm
Huifang Sun spends much of his time researching Artificial intelligence, Computer vision, Transcoding, Real-time computing and Bitstream.
His Artificial intelligence research incorporates themes from Algorithm, Machine learning and Pattern recognition.
His Computer vision study focuses on Discrete cosine transform in particular.
His studies in Transcoding integrate themes in fields like Motion compensation and Rate–distortion theory.
His research investigates the connection between Motion compensation and topics such as Video post-processing that intersect with issues in Computer engineering, Chrominance and Block-matching algorithm.
His Real-time computing research incorporates elements of Control system, Classifier and User device.
His most cited work include:
- Video transcoding architectures and techniques: an overview (715 citations)
- Algorithms and system for segmentation and structure analysis in soccer video (234 citations)
- Structure analysis of soccer video with hidden Markov models (228 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Artificial intelligence, Computer vision, Transcoding, Algorithm and Pattern recognition.
His studies link Frame with Artificial intelligence.
As a member of one scientific family, he mostly works in the field of Computer vision, focusing on Decoding methods and, on occasion, Search engine indexing.
His Transcoding study also includes
- Real-time computing that connect with fields like Control system,
- Data compression and related Computer engineering.
Huifang Sun interconnects Harmonic Vector Excitation Coding and Control theory in the investigation of issues within Algorithm.
His Pattern recognition research includes elements of Motion, Similarity, Feature and Markov model.
He most often published in these fields:
- Artificial intelligence (65.91%)
- Computer vision (53.03%)
- Transcoding (23.48%)
What were the highlights of his more recent work (between 2010-2019)?
- Artificial intelligence (65.91%)
- Computer vision (53.03%)
- Multiview Video Coding (7.58%)
In recent papers he was focusing on the following fields of study:
Artificial intelligence, Computer vision, Multiview Video Coding, Bitstream and Algorithm are his primary areas of study.
Many of his studies on Artificial intelligence apply to Pattern recognition as well.
His study in the field of Rendering, Feature and Feature extraction also crosses realms of Cloud computing.
His biological study spans a wide range of topics, including Video tracking, Inter frame and Motion compensation.
Huifang Sun works mostly in the field of Bitstream, limiting it down to topics relating to Discrete mathematics and, in certain cases, Decoding methods, as a part of the same area of interest.
Huifang Sun focuses mostly in the field of Algorithm, narrowing it down to topics relating to Harmonic Vector Excitation Coding and, in certain cases, Tunstall coding, Quarter-pixel motion, Scalable Video Coding and Motion vector.
Between 2010 and 2019, his most popular works were:
- Method for coding pictures using hierarchical transform units (35 citations)
- View Synthesis Prediction in the 3-D Video Coding Extensions of AVC and HEVC (23 citations)
- A Joint Compression Scheme of Video Feature Descriptors and Visual Content (19 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Algorithm
- Computer vision
Huifang Sun mainly focuses on Algorithm, Artificial intelligence, Computer vision, Data compression and Coding tree unit.
His Algorithm research focuses on Bitstream in particular.
Artificial intelligence and Visual Word are two areas of study in which Huifang Sun engages in interdisciplinary research.
In his articles, Huifang Sun combines various disciplines, including Computer vision and Alternate frame rendering.
His work carried out in the field of Data compression brings together such families of science as Feature extraction, Pattern recognition and Server.
The study incorporates disciplines such as Multiview Video Coding, Real-time computing, Harmonic Vector Excitation Coding and Context-adaptive binary arithmetic coding in addition to Coding tree unit.
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