What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Algorithm
Anthony Vetro spends much of his time researching Artificial intelligence, Computer vision, Transcoding, Algorithm and Multiview Video Coding.
His Artificial intelligence research integrates issues from Encoder, Decoding methods and Pattern recognition.
His Computer vision research includes elements of Frame, Coding and Computer graphics.
He has researched Transcoding in several fields, including Discrete cosine transform, Data compression, Real-time computing, Bitstream and Block-matching algorithm.
Anthony Vetro has included themes like Point cloud and Color depth in his Algorithm study.
His Multiview Video Coding research is multidisciplinary, incorporating elements of Context-adaptive binary arithmetic coding and Video compression picture types.
His most cited work include:
- Video transcoding architectures and techniques: an overview (715 citations)
- Overview of the Stereo and Multiview Video Coding Extensions of the H.264/MPEG-4 AVC Standard (567 citations)
- Standardized Extensions of High Efficiency Video Coding (HEVC) (322 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Artificial intelligence, Computer vision, Algorithm, Transcoding and Coding.
The concepts of his Artificial intelligence study are interwoven with issues in Decoding methods and Pattern recognition.
The Computer vision study combines topics in areas such as Frame and Computer graphics.
As a member of one scientific family, he mostly works in the field of Algorithm, focusing on Theoretical computer science and, on occasion, Encryption.
His biological study deals with issues like Data compression, which deal with fields such as Transform coding.
The Multiview Video Coding study which covers Coding tree unit that intersects with Context-adaptive binary arithmetic coding.
He most often published in these fields:
- Artificial intelligence (52.75%)
- Computer vision (45.82%)
- Algorithm (21.38%)
What were the highlights of his more recent work (between 2014-2020)?
- Artificial intelligence (52.75%)
- Computer vision (45.82%)
- Algorithm (21.38%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Computer vision, Algorithm, Point cloud and Pattern recognition.
Anthony Vetro performs integrative Artificial intelligence and Set research in his work.
His research integrates issues of Basis, Motion and Coding in his study of Computer vision.
His Coding research incorporates themes from Transform coding, Discrete cosine transform, Multiview Video Coding and Cloud computing.
His Algorithm research integrates issues from Discrete mathematics and Filter.
He interconnects Matrix decomposition and Synthetic data in the investigation of issues within Pattern recognition.
Between 2014 and 2020, his most popular works were:
- Overview of the Multiview and 3D Extensions of High Efficiency Video Coding (240 citations)
- Geometric distortion metrics for point cloud compression (81 citations)
- Fast Resampling of Three-Dimensional Point Clouds via Graphs (65 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Statistics
Anthony Vetro mostly deals with Artificial intelligence, Point cloud, Algorithm, Pattern recognition and Training set.
The Artificial intelligence study combines topics in areas such as Coding tree unit, Graph and Computer vision.
His Point cloud research is multidisciplinary, relying on both Virtual reality, Resampling, Theoretical computer science and Graph.
His Virtual reality research incorporates elements of Transform coding, Discrete cosine transform and Coding, Image coding.
His biological study spans a wide range of topics, including Measure, Cloud computing, Distortion and Compression.
His Pattern recognition study integrates concerns from other disciplines, such as Regularization and Noise reduction.
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