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Tytuł pozycji:

Real-Time Video Streaming Using Randomized Expanding Reed–Solomon Code.

Tytuł:
Real-Time Video Streaming Using Randomized Expanding Reed–Solomon Code.
Autorzy:
Xiao, Jimin
Tillo, Tammam
Zhao, Yao
Temat:
STREAMING video & television
REED-Solomon codes
VIDEO coding
FORWARD error correction
COMPUTER networks
CODING theory
REAL-time computing
Źródło:
IEEE Transactions on Circuits & Systems for Video Technology; Nov2013, Vol. 23 Issue 11, p1825-1836, 12p
Czasopismo naukowe
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.ref refid="fn1"/ id="fn1" asterisk="no"paraMATLAB code of this paper is available for download at http://www.mmtlab.com.para [ABSTRACT FROM PUBLISHER]
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