World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
14647
World Ranking
11420
National Ranking
4691

Research.com Recognitions

  • 2014 - IEEE Fellow For contributions to compression and processing of images and videos

Overview

Amir Said is affiliated with Qualcomm in the United States and primarily works in the field of Computer Science. Their research focuses on areas including Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computational Mechanics, and Computational Theory and Mathematics.

The scientist's research topics cover a range of subjects such as Advanced Vision and Imaging, Advanced Image Processing Techniques, Advanced Data Compression Techniques, Video Coding and Compression Technologies, Image and Signal Denoising Methods, 3D Shape Modeling and Analysis, and Computer Graphics and Visualization Techniques.

Amir Said has contributed to several recent publications. Notable papers include:

  • Introduction to Arithmetic Coding -- Theory and Practice, 2023, arXiv (Cornell University)
  • Transform Network Architectures for Deep Learning Based End-to-End Image/Video Coding in Subsampled Color Spaces, 2021, IEEE Open Journal of Signal Processing
  • Boosting neural video codecs by exploiting hierarchical redundancy, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • MobileCodec: Neural Inter-frame Video Compression on Mobile Devices, 2022, arXiv (Cornell University)
  • Evaluating Machine Learning Techniques for Breast Cancer Detection: A Comprehensive Review, 2025, MEJ Mansoura Engineering Journal

The frequent publication venues for Amir Said include arXiv (Cornell University), IEEE Open Journal of Signal Processing, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), MEJ Mansoura Engineering Journal, and the 2022 IEEE International Conference on Image Processing (ICIP).

Among frequent co-authors contributing to Amir Said's research are Hoang Le, Guillaume Sautière, Farzad Farhadzadeh, Reza Pourreza, and Auke Wiggers.

In recognition of contributions to the field, Amir Said was awarded the title of IEEE Fellow in 2014 for achievements in the compression and processing of images and videos.

Best Publications

  • A new, fast, and efficient image codec based on set partitioning in hierarchical trees

    A. Said;W.A. Pearlman

  • An image multiresolution representation for lossless and lossy compression

    A. Said;W.A. Pearlman

  • Efficient, low-complexity image coding with a set-partitioning embedded block coder

    W.A. Pearlman;A. Islam;N. Nagaraj;A. Said

  • No-Reference Blur Assessment of Digital Pictures Based on Multifeature Classifiers

    A Ciancio;André Luiz N Targino da Costa;Eduardo A B da Silva;Amir Said

  • Image compression using the spatial-orientation tree

    A. Said;W.A. Pearlman

  • Low-complexity waveform coding via alphabet and sample-set partitioning

    Amir Said;William A. Pearlman

  • Data compression using set partitioning in hierarchical trees

    William Abraham Pearlman;Amir Said

  • Reversible image compression via multiresolution representation and predictive coding

    Amir Said;William A. Pearlman

  • Introduction to Arithmetic Coding - Theory and Practice

    Amir Said

  • Measuring the strength of partial encryption schemes

    Amir Said

  • Digital Signal Compression: Principles and Practice

    William A. Pearlman;Amir Said

  • Image transmission for low bandwidth with region of interest

    D. Amnon Silverstein;Mei Chen;Debargha Mukherjee;Amir Said

  • N-dimensional data compression using set partitioning in hierarchical trees

    William A. Pearlman;Amir Said

  • SBHP-a low complexity wavelet coder

    C. Chrysafis;A. Said;A. Drukarev;A. Islam

  • A Steered-Response Power Algorithm Employing Hierarchical Search for Acoustic Source Localization Using Microphone Arrays

    Leonardo O. Nunes;Wallace Alves Martins;Markus V. S. Lima;Luiz W. P. Biscainho

  • Automatically generating three-dimensional graphical environments for information discovery and visualization

    Nelson Liang An Chang;Amir Said

  • Simplified segmentation for compound image compression

    A. Said;A. Drukarev

  • Methods and apparatus for imaging and displaying a navigable path

    Amir Said;Debargha Mukherjee;Ullas Gargi

  • Bandwidth-efficient coded modulation with optimized linear partial-response signals

    A. Said;J.B. Anderson

  • Joint Separable and Non-Separable Transforms for Next-Generation Video Coding

    Xin Zhao;Jianle Chen;Marta Karczewicz;Amir Said

  • DISPLAY SYSTEM AND METHOD TO BE USED IN DISPLAY SYSTEM

    Said Amir

Frequent Co-Authors

William A. Pearlman
William A. Pearlman Rensselaer Polytechnic Institute
Debargha Mukherjee
Debargha Mukherjee Google (United States)
Ronald W. Schafer
Ronald W. Schafer Georgia Institute of Technology
Ton Kalker
Ton Kalker Hewlett-Packard (United States)
Steven J. Simske
Steven J. Simske Colorado State University
Claudio Rosito Jung
Claudio Rosito Jung Federal University of Rio Grande do Sul
John W. Woods
John W. Woods Rensselaer Polytechnic Institute
Armando Manduca
Armando Manduca Mayo Clinic
Changick Kim
Changick Kim Korea Advanced Institute of Science and Technology

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