Robust H.264/AVC video transmission using data partitioning and unequal loss protection

Xingjun Zhang*, Xiaohong Peng, Scott Fowler, Dajun Wu

*Corresponding author for this work

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

Abstract

In this work, we present an adaptive unequal loss protection (ULP) scheme for H264/AVC video transmission over lossy networks. This scheme combines erasure coding, H.264/AVC error resilience techniques and importance measures in video coding. The unequal importance of the video packets is identified in the group of pictures (GOP) and the H.264/AVC data partitioning levels. The presented method can adaptively assign unequal amount of forward error correction (FEC) parity across the video packets according to the network conditions, such as the available network bandwidth, packet loss rate and average packet burst loss length. A near optimal algorithm is developed to deal with the FEC assignment for optimization. The simulation results show that our scheme can effectively utilize network resources such as bandwidth, while improving the quality of the video transmission. In addition, the proposed ULP strategy ensures graceful degradation of the received video quality as the packet loss rate increases.

Original languageEnglish
Title of host publicationProceedings : the 2010 10th IEEE International Conference on Computer and Information Technology (CIT-2010), the 7th IEEE International Conference on Embedded Software and Systems (ICESS-2010), the 10th IEEE International Conference on Scalable Computing and Communications (ScalCom-2010)
Place of PublicationPiscataway, NJ (US)
PublisherIEEE
Pages2471-2477
Number of pages7
ISBN (Print)978-0-7695-4108-2
DOIs
Publication statusPublished - 2010
Event10th IEEE International Conference on Computer and Information Technology, 7th IEEE International Conference on Embedded Software and Systems, 10th IEEE Interantional Conference Scalable Computing and Communications - Bradford, United Kingdom
Duration: 29 Jun 20101 Jul 2010

Conference

Conference10th IEEE International Conference on Computer and Information Technology, 7th IEEE International Conference on Embedded Software and Systems, 10th IEEE Interantional Conference Scalable Computing and Communications
Abbreviated titleCIT-2010 / ICESS-2010 / ScalCom-2010
CountryUnited Kingdom
CityBradford
Period29/06/101/07/10

Keywords

  • adaptive unequal loss protection
  • FEC assignment optimization
  • H.264/AVC

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  • Research Output

    • 2 Conference contribution

    Impact of scatterer density on the performances of double-scattering MIMO channels

    Zhang, G. C., Peng, X-H. & Gu, X. Y., 2010, Proceedings : the 2010 10th IEEE International Conference on Computer and Information Technology (CIT-2010), the 7th IEEE International Conference on Embedded Software and Systems (ICESS-2010), the 10th IEEE International Conference on Scalable Computing and Communications (ScalCom-2010). Piscataway, NJ (US): IEEE, p. 2793-2799 7 p.

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

  • Investigation of PHY, MAC and APP layers for adaptive and cross-layer optimization in IEEE802.11 WLAN

    Seyedebrahimi, M. & Peng, X-H., 2010, Proceedings : the 2010 10th IEEE International Conference on Computer and Information Technology (CIT-2010), the 7th IEEE International Conference on Embedded Software and Systems (ICESS-2010), the 10th IEEE International Conference on Scalable Computing and Communications (ScalCom-2010). Piscataway, NJ (US): IEEE, p. 2581-2588 8 p.

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

  • Cite this

    Zhang, X., Peng, X., Fowler, S., & Wu, D. (2010). Robust H.264/AVC video transmission using data partitioning and unequal loss protection. In Proceedings : the 2010 10th IEEE International Conference on Computer and Information Technology (CIT-2010), the 7th IEEE International Conference on Embedded Software and Systems (ICESS-2010), the 10th IEEE International Conference on Scalable Computing and Communications (ScalCom-2010) (pp. 2471-2477). IEEE. https://doi.org/10.1109/CIT.2010.423