Prediction-based loss recovery for frame-level streaming video

Chun I. Kuo, Chi Huang Shih, Ce-Kuen Shieh, Wen Shyang Hwang

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

1 Citation (Scopus)

Abstract

Forward error correction (FEC) is a common error control technique to recover transmission losses with low delay overhead. However, enhancing or optimizing the loss recovery capability for video streaming results in the increased FEC processing latencies to violate the stringent delay constraints of video communications. Accordingly, a low-delay FEC scheme is proposed in this paper to minimize the additional FEC processing delay while achieving nearly the same video quality that can be obtained by the optimal FEC. To support the online FEC rate allocation, the proposed FEC scheme extends the optimal frame-level FEC with the frame size prediction technique to imitate the optimal allocation parameters of previous video data. The simulation results show that the proposed prediction-based FEC scheme can maintain low end-to-end delay and significantly improves the video streaming quality for delay-sensitive video.

Original languageEnglish
Title of host publication2011 IEEE GLOBECOM Workshops, GC Wkshps 2011
Pages72-76
Number of pages5
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 IEEE GLOBECOM Workshops, GC Wkshps 2011 - Houston, TX, United States
Duration: 2011 Dec 52011 Dec 9

Publication series

Name2011 IEEE GLOBECOM Workshops, GC Wkshps 2011

Other

Other2011 IEEE GLOBECOM Workshops, GC Wkshps 2011
CountryUnited States
CityHouston, TX
Period11-12-0511-12-09

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Communication

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  • Cite this

    Kuo, C. I., Shih, C. H., Shieh, C-K., & Hwang, W. S. (2011). Prediction-based loss recovery for frame-level streaming video. In 2011 IEEE GLOBECOM Workshops, GC Wkshps 2011 (pp. 72-76). [6162550] (2011 IEEE GLOBECOM Workshops, GC Wkshps 2011). https://doi.org/10.1109/GLOCOMW.2011.6162550