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Iterative joint source-channel decoding aided transmission of losslessly compressed video

Iterative joint source-channel decoding aided transmission of losslessly compressed video
Iterative joint source-channel decoding aided transmission of losslessly compressed video
Iterative source-channel decoding (ISCD) exploits the residual redundancy of the source by iteratively exchanging extrinsic information with the channel codecs to achieve robust transmission. In this treatise we propose a video codec suitable for lossless video compression and IS CD. At the encoder the spatio-temporal redundancy is partially removed at a low complexity by simply evaluating the frame difference (FD), which is then variable-length encoded (VLC). At the receiver we invoke a three-stage concatenated IS CD scheme for exploiting the residual redundancy of the FD. A Markov Random Field (MRF) model based soft-in-soft-out (SISO) module is proposed for exploiting the spatial correlations amongst the adjacent video pixels, using intra-frame coding. More explicitly, the VLC SISO decoder operates by exchanging soft information with both the MRF module and the soft channel decoder. The convergence of the three-stage iterative decoding process is examined using 3D extrinsic information transfer (EXIT) charts. Finally, we show that our system exhibits a substantial Eb/NO improvement of about 5.2 dB compared to the corresponding benchmarker schemes.
4582-4587
Zhu, Chuan
68faec7d-dfe8-42a6-ab1d-4ea51ce050b4
Huo, Yongkai
f2be4331-3c36-48c4-b4df-f5fa29a45e94
Maunder, Robert G.
76099323-7d58-4732-a98f-22a662ccba6c
Kawade, Santosh
0ee1cd82-4cad-4dc0-b10b-b9797ccb0678
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhu, Chuan
68faec7d-dfe8-42a6-ab1d-4ea51ce050b4
Huo, Yongkai
f2be4331-3c36-48c4-b4df-f5fa29a45e94
Maunder, Robert G.
76099323-7d58-4732-a98f-22a662ccba6c
Kawade, Santosh
0ee1cd82-4cad-4dc0-b10b-b9797ccb0678
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Zhu, Chuan, Huo, Yongkai, Maunder, Robert G., Kawade, Santosh and Hanzo, Lajos (2013) Iterative joint source-channel decoding aided transmission of losslessly compressed video. IEEE Wireless Communications and Networking Conference, , Shanghai, China. 07 - 10 Apr 2013. pp. 4582-4587 . (doi:10.1109/WCNC.2013.6555317).

Record type: Conference or Workshop Item (Paper)

Abstract

Iterative source-channel decoding (ISCD) exploits the residual redundancy of the source by iteratively exchanging extrinsic information with the channel codecs to achieve robust transmission. In this treatise we propose a video codec suitable for lossless video compression and IS CD. At the encoder the spatio-temporal redundancy is partially removed at a low complexity by simply evaluating the frame difference (FD), which is then variable-length encoded (VLC). At the receiver we invoke a three-stage concatenated IS CD scheme for exploiting the residual redundancy of the FD. A Markov Random Field (MRF) model based soft-in-soft-out (SISO) module is proposed for exploiting the spatial correlations amongst the adjacent video pixels, using intra-frame coding. More explicitly, the VLC SISO decoder operates by exchanging soft information with both the MRF module and the soft channel decoder. The convergence of the three-stage iterative decoding process is examined using 3D extrinsic information transfer (EXIT) charts. Finally, we show that our system exhibits a substantial Eb/NO improvement of about 5.2 dB compared to the corresponding benchmarker schemes.

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Published date: 7 April 2013
Venue - Dates: IEEE Wireless Communications and Networking Conference, , Shanghai, China, 2013-04-07 - 2013-04-10
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 354646
URI: http://eprints.soton.ac.uk/id/eprint/354646
PURE UUID: ecdadf4a-d667-4ae9-9670-c8e580902fd9
ORCID for Robert G. Maunder: ORCID iD orcid.org/0000-0002-7944-2615
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 16 Jul 2013 11:53
Last modified: 18 Mar 2024 03:09

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Contributors

Author: Chuan Zhu
Author: Yongkai Huo
Author: Robert G. Maunder ORCID iD
Author: Santosh Kawade
Author: Lajos Hanzo ORCID iD

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