2011 - IEEE Fellow For contributions to video coding, three-dimensional television, and multimedia adaptation
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 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.
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.
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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Video transcoding architectures and techniques: an overview
A. Vetro;C. Christopoulos;Huifang Sun.
IEEE Signal Processing Magazine (2003)
Overview of the Stereo and Multiview Video Coding Extensions of the H.264/MPEG-4 AVC Standard
A Vetro;T Wiegand;G J Sullivan.
Proceedings of the IEEE (2011)
Standardized Extensions of High Efficiency Video Coding (HEVC)
Gary J. Sullivan;Jill M. Boyce;Ying Chen;Jens-Rainer Ohm.
IEEE Journal of Selected Topics in Signal Processing (2013)
Overview of the Multiview and 3D Extensions of High Efficiency Video Coding
Gerhard Tech;Ying Chen;Karsten Muller;Jens-Rainer Ohm.
IEEE Transactions on Circuits and Systems for Video Technology (2016)
MPEG-4 rate control for multiple video objects
A. Vetro;Huifang Sun;Yao Wang.
IEEE Transactions on Circuits and Systems for Video Technology (1999)
Environment aware services for mobile devices
Anthony Vetro;Zafer Sahinoglu;Ghulam Bhatti;Johnas Cukier.
Algorithms and system for segmentation and structure analysis in soccer video
Peng Xu;Lexing Xie;Shih-Fu Chang;A. Divakaran.
international conference on multimedia and expo (2001)
Video Adaptation: Concepts, Technologies, and Open Issues
Shih-Fu Chang;A. Vetro.
Proceedings of the IEEE (2005)
Digital item adaptation: overview of standardization and research activities
A. Vetro;C. Timmerer.
IEEE Transactions on Multimedia (2005)
Method and System for Acquiring, Encoding, Decoding and Displaying 3D Light Fields
Anthony Vetro;Sehoon Yea;Wojciech Matusik;Hanspeter Pfister.
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