Real-time video streaming using randomized expanding reed-solomon code

Jimin Xiao, Tammam Tillo*, Yao Zhao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

34 Citations (Scopus)

Abstract

Forward error correction (FEC) codes are widely studied to protect streamed video over unreliable networks. Typically, enlarging the FEC coding block size can improve the error correction performance. For video streaming applications, this could be implemented by grouping more than one video frame into one FEC coding block. However, in this case, it leads to decoding delay, which is not tolerable for real-time video streaming applications. In this paper, to solve this dilemma, a real-time video streaming scheme using randomized expanding Reed-Solomon (RS) code is proposed. In this scheme, the RS coding block includes not only the video packets of the current frame, but could also include all the video packets of previous frames in the current group of pictures. At the decoding side, the parity-check equations of the current frame are jointly solved with all the parity-check equations of the previous frames. Since video packets of the following frames are not encompassed in the RS coding block, no delay will be caused for waiting for the video or parity packets of the following frames both at encoding and decoding sides. Experimental results show that the proposed scheme outperforms other real-time error resilient video streaming approaches significantly, specifically, for the Foreman sequence, the proposed scheme could provide 1.5 dB average gain over the state-of-the-art approach for 10% i.i.d. packet loss rate, whereas for the burst loss case, the average gain is more than 3 dB.MATLAB code of this paper is available for download at http://www.mmtlab.com.

Original languageEnglish
Article number6469200
Pages (from-to)1825-1836
Number of pages12
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume23
Issue number11
DOIs
Publication statusPublished - 2013

Keywords

  • Error resilient
  • forward error correction (FEC)
  • randomized expanding Reed-Solomon (RE-RS)
  • real time
  • video streaming

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