2007 - IEEE Fellow For contributions to image and video communications
Antonio Ortega mostly deals with Algorithm, Artificial intelligence, Data compression, Computer vision and Mathematical optimization. His Algorithm study integrates concerns from other disciplines, such as Encoder, Graph bandwidth, Interpolation, Adjacency matrix and Distortion. He combines subjects such as Graph and Pattern recognition with his study of Artificial intelligence.
The various areas that Antonio Ortega examines in his Data compression study include Transform coding, Wavelet, Wavelet transform and Quantization. His study in Computer vision is interdisciplinary in nature, drawing from both Coding and Sub-band coding. His Graph theory research focuses on Signal processing and how it connects with Digital television.
Antonio Ortega spends much of his time researching Algorithm, Artificial intelligence, Computer vision, Data compression and Graph. His Algorithm study incorporates themes from Encoder, Theoretical computer science, Wavelet and Graph. His biological study spans a wide range of topics, including Real-time computing and Distortion.
His work carried out in the field of Artificial intelligence brings together such families of science as Coding and Pattern recognition. His study in the fields of Depth map, Motion compensation, Image processing and View synthesis under the domain of Computer vision overlaps with other disciplines such as Multiview Video Coding. His Data compression research incorporates themes from Transform coding and Wireless sensor network.
His scientific interests lie mostly in Algorithm, Graph, Graph, Artificial intelligence and Laplacian matrix. His research integrates issues of Discrete cosine transform, Sampling, Separable space, Mathematical optimization and Coding in his study of Algorithm. His work carried out in the field of Coding brings together such families of science as Data compression, Decoding methods and Graph based.
His studies in Graph integrate themes in fields like Graph signal processing, Signal processing, Matrix decomposition, Fourier transform and Wavelet. The concepts of his Graph study are interwoven with issues in Semi-supervised learning and Theoretical computer science. His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning, Computer vision and Pattern recognition.
Antonio Ortega focuses on Algorithm, Graph, Artificial intelligence, Theoretical computer science and Discrete cosine transform. His Algorithm research includes themes of Transform coding, Laplacian matrix, Graph, Graph bandwidth and Mathematical optimization. His research integrates issues of Semi-supervised learning, Graph signal processing, Signal processing, Separable space and Data point in his study of Graph.
The Artificial intelligence study combines topics in areas such as Covariance function, Computer vision and Pattern recognition. His Theoretical computer science study combines topics from a wide range of disciplines, such as Channel code, Decoding methods, Distributed source coding, Constant function and Deep learning. Antonio Ortega combines subjects such as Decimation, Coding and Cut with his study of Discrete cosine transform.
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The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
David I Shuman;Sunil K. Narang;Pascal Frossard;Antonio Ortega.
IEEE Signal Processing Magazine (2013)
Rate-distortion methods for image and video compression
A. Ortega;K. Ramchandran.
IEEE Signal Processing Magazine (1998)
Graph Signal Processing: Overview, Challenges, and Applications
Antonio Ortega;Pascal Frossard;Jelena Kovacevic;Jose M. F. Moura.
Proceedings of the IEEE (2018)
Line-based, reduced memory, wavelet image compression
C. Chrysafis;A. Ortega.
IEEE Transactions on Image Processing (2000)
Bit allocation for dependent quantization with applications to multiresolution and MPEG video coders
K. Ramchandran;A. Ortega;M. Vetterli.
IEEE Transactions on Image Processing (1994)
Multiresolution broadcast for digital HDTV using joint source/channel coding
K. Ramchandran;A. Ortega;K.M. Uz;M. Vetterli.
IEEE Journal on Selected Areas in Communications (1993)
Perfect Reconstruction Two-Channel Wavelet Filter Banks for Graph Structured Data
Sunil K. Narang;A. Ortega.
IEEE Transactions on Signal Processing (2012)
Bit-rate control using piecewise approximated rate-distortion characteristics
Liang-Jin Lin;A. Ortega.
IEEE Transactions on Circuits and Systems for Video Technology (1998)
VBR video: tradeoffs and potentials
T.V. Lakshman;A. Ortega;A.R. Reibman.
Proceedings of the IEEE (1998)
Optimal trellis-based buffered compression and fast approximations
A. Ortega;K. Ramchandran;M. Vetterli.
IEEE Transactions on Image Processing (1994)
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