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Computer Science

D-Index
52
Citations
11195
World Ranking
5069
National Ranking
2352

Research.com Recognitions

  • 2005 - IEEE Fellow For contributions to the transport of video over networks.

Overview

Amy R. Reibman is a researcher affiliated with Purdue University West Lafayette in the United States. Their primary field of study is Computer Science, with a significant focus on Computer Vision and Pattern Recognition. Their work spans multiple related subfields, including Small Animals, Animal Science and Zoology, Artificial Intelligence, and Genetics.

Their research covers various topics, prominently featuring Video Surveillance and Tracking Methods, Animal Behavior and Welfare Studies, and Face Recognition and Analysis. Other main topics in their research portfolio include Effects of Environmental Stressors on Livestock, Food Supply Chain Traceability, Smart Agriculture and AI, and Water Quality Monitoring Technologies.

Amy R. Reibman has published in a range of venues, with frequent publications appearing in:

  • Proceedings of the IEEE
  • Electronic Imaging
  • arXiv (Cornell University)
  • Computers and Electronics in Agriculture
  • Smart Agricultural Technology

Some of their recent papers include the following:

  • "Video analytic system for detecting cow structure", 2020, Computers and Electronics in Agriculture
  • "FaR-GAN for One-Shot Face Reenactment", 2020, arXiv (Cornell University)
  • "Multi-View Hand-Hygiene Recognition for Food Safety", 2020, Journal of Imaging
  • "Designing a Computer-Vision Application: A Case Study for Hand-Hygiene Assessment in an Open-Room Environment", 2021, Journal of Imaging
  • "Feature extraction using multi-view video analytics for dairy cattle body weight estimation", 2023, Smart Agricultural Technology

Frequent co-authors collaborating with Amy R. Reibman include:

  • Christian Timmerer
  • Jacquelyn P. Boerman
  • Shengtai Ju
  • He Liu
  • Dennis R. Buckmaster

In 2005, Amy R. Reibman was named an IEEE Fellow for contributions to the transport of video over networks.

Best Publications

  • Recovery of lost or erroneously received motion vectors

    W.M. Lam;A.R. Reibman;B. Liu

  • Multiple Description Coding for Video Delivery

    Yao Wang;A.R. Reibman;Shunan Lin

  • Multiple description coding using pairwise correlating transforms

    Yao Wang;M.T. Orchard;V. Vaishampayan;A.R. Reibman

  • Personalized multimedia services using a mobile service platform

    Yih-Farn Chen;Huale Huang;R. Jana;S. John

  • VBR video: tradeoffs and potentials

    T.V. Lakshman;A. Ortega;A.R. Reibman

  • An adaptive congestion control scheme for real-time packet video transport

    Hemant Kanakia;Partho P. Mishra;Amy Reibman

  • Optimal Detection and Performance of Distributed Sensor Systems

    Amy R. Reibman;L. W. Nolte

  • Multiple description image coding for noisy channels by pairing transform coefficients

    Yao Wang;M.T. Orchard;A.R. Reibman;A.R. Reibman;A.R. Reibman

  • Constraints on variable bit-rate video for ATM networks

    A.R. Reibman;B.G. Haskell

  • Packet loss resilience of MPEG-2 scalable video coding algorithms

    R. Aravind;M.R. Civanlar;A.R. Reibman

  • Timing recovery for variable bit-rate video on asynchronous transfer mode (atm) networks

    Barin Geoffry Haskell;Amy Ruth Reibman

  • Buffer control for variable bit-rate channel

    Brian Geoffry Haskell;Amy Ruth Reibman

  • Joint selection of source and channel rate for VBR video transmission under ATM policing constraints

    Chi-Yuan Hsu;A. Ortega;A.R. Reibman

  • Multiple-description video coding using motion-compensated temporal prediction

    A.R. Reibman;H. Jafarkhani;Yao Wang;M.T. Orchard

  • Quality monitoring of video over a packet network

    A.R. Reibman;V.A. Vaishampayan;Y. Sermadevi

  • Traffic descriptors for VBR video teleconferencing over ATM networks

    Amy R. Reibman;Arthur W. Berger

  • Modeling packet-loss visibility in MPEG-2 video

    S. Kanumuri;P.C. Cosman;A.R. Reibman;V.A. Vaishampayan

  • Methods for performance evaluation of VBR video traffic models

    David M. Lucantoni;Marcel F. Neuts;Amy R. Reibman

  • Redundancy rate-distortion analysis of multiple description coding using pairwise correlating transforms

    M.T. Orchard;Y. Wang;V. Vaishampayan;A.R. Reibman

  • An adaptive congestion control scheme for real time packet video transport

    Hemant Kanakia;Partho P. Mishra;Amy R. Reibman

Frequent Co-Authors

Yao Wang
Yao Wang New York University
Hamid Jafarkhani
Hamid Jafarkhani University of California, Irvine
Pamela C. Cosman
Pamela C. Cosman University of California, San Diego
David Crawford Gibbon
David Crawford Gibbon AT&T (United States)
Bernard S. Renger
Bernard S. Renger AT&T (United States)
Zhu Liu
Zhu Liu Amazon (United States)
Behzad Shahraray
Behzad Shahraray AT&T (United States)
Vinay A. Vaishampayan
Vinay A. Vaishampayan City University of New York
Edward J. Delp
Edward J. Delp Purdue University West Lafayette
Michael T. Orchard
Michael T. Orchard Rice University

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