Region of interest video compression: Delivering diagnostic quality video over limited throughput mobile telemedicine networks

Max E. Stachura, Sira P. Rao, Elena V. Khasanshina, Anthony Pearson-Shaver, Scott L. Robertson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

We present a methodology for delivering diagnostically acceptable video quality over limited and variable bitrate networks using a region-of-interest framework. The design of the system consists of three steps - quantification of video quality through tests on training videos with medical experts, incorporation of the above information into the video encoder through the notion of encoder states, and fine tuning of these states based on built-in quality criteria. We used videos of patients in respiratory distress to train and test our bit allocation algorithms. Since this is a work in progress, the results in this paper are preliminary, and give insight into the expected performance of our proposed elastic system.

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd IASTED International Conference on Telehealth, Telehealth 2007
Pages176-181
Number of pages6
StatePublished - 2007
Event3rd IASTED International Conference on Telehealth, Telehealth 2007 - Montreal, QC, Canada
Duration: May 30 2007Jun 1 2007

Publication series

NameProceedings of the 3rd IASTED International Conference on Telehealth

Other

Other3rd IASTED International Conference on Telehealth, Telehealth 2007
Country/TerritoryCanada
CityMontreal, QC
Period5/30/076/1/07

Keywords

  • Best-effort
  • Diagnostic-losslessness
  • Encoder-state
  • Mathematical-losslessness
  • Perceptual -losslessness
  • Region-of-interest

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics
  • Health(social science)
  • General Health Professions

Fingerprint

Dive into the research topics of 'Region of interest video compression: Delivering diagnostic quality video over limited throughput mobile telemedicine networks'. Together they form a unique fingerprint.

Cite this