Network-adaptive transport of motion-compensated fine granularity scalability video using multiple asymmetric paths

Dian Fan, Yee Sin Chan, Xunqi Yu, James W. Modestino

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

Abstract

In this paper, we study multiple description (MD) coding and transport for real-time video using multiple asymmetric paths in a packetized network. In particular, we construct the motion-compensated (MC) MD codes using MC-FGS video coder, based on the statistical characteristics and the asymmetry of the multiple routing paths. The MCMDs are the optimally allocated to the multiple paths to minimize the end-to-end video distortion. Simulation results demonstrate that the proposed video transport system can achieve improved performance in both end user quality-of-service and error resilience.

Original languageEnglish (US)
Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages2320-2323
Number of pages4
DOIs
StatePublished - Dec 1 2008
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: Oct 12 2008Oct 15 2008

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2008 IEEE International Conference on Image Processing, ICIP 2008
CountryUnited States
CitySan Diego, CA
Period10/12/0810/15/08

Keywords

  • Asymmetric transport path
  • FEC-based multiple description
  • Motion-compensated fine granularity scalability (MC-FGS)
  • Multiple path transport (MPT)
  • Optimum traffic allocation

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Fan, D., Chan, Y. S., Yu, X., & Modestino, J. W. (2008). Network-adaptive transport of motion-compensated fine granularity scalability video using multiple asymmetric paths. In 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings (pp. 2320-2323). [4712256] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2008.4712256