Video Error Correction Using Soft-Output and Hard-Output Maximum Likelihood Decoding Applied to an H.264 Baseline Profile

Error concealment has long been identified as the last line of defense against transmission errors. Since error handling is outside the scope of video coding standards, decoders may choose to simply ignore corrupted packets or attempt to decode their content. In this paper, we present a novel joint...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems for video technology Vol. 25; no. 7; pp. 1161 - 1174
Main Authors: Caron, Francois, Coulombe, Stephane
Format: Journal Article
Language:English
Published: New York IEEE 01.07.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Coding standards
Error correction
H.264
joint source-channel decoding
Maximum likelihood decoding
real time video applications
Streaming media
Syntactics
Vectors
Video error correction
real time video applications
video error correction
joint source-channel decoding
maximum likelihood decoding
H.264
ISSN:1051-8215, 1558-2205
Online Access:Get full text
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Summary:Error concealment has long been identified as the last line of defense against transmission errors. Since error handling is outside the scope of video coding standards, decoders may choose to simply ignore corrupted packets or attempt to decode their content. In this paper, we present a novel joint source-channel decoding approach that can be applied to received video packets containing transmission errors. Soft-output information is combined with our novel syntax-element-level maximum likelihood decoding framework to effectively extract valid macroblocks from corrupted H.264 slices. Simulation results show that our video error correction strategy provides an average peak signal-to-noise ratio (PSNR) improvement near 2 dB compared to the error concealment approach used by the H.264 reference software, as well as an average PSNR improvement of 0.8 dB compared to state-of-the-art error concealment. The proposed method is also applicable when only hard-information is available, in which case it performs better than state-of-the-art error concealment especially in high error conditions. Finally, in our simulations, the proposed method increased the decoder computational complexity by only 5% to 20%, making it applicable for real-time applications.
Bibliography:ObjectType-Article-1
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ISSN:1051-8215
1558-2205
DOI:10.1109/TCSVT.2013.2291353