Layered Wyner–Ziv video coding for transmission over unreliable channels
Based on recent works on Wyner–Ziv coding (WZC) (or lossy source coding with decoder side information), this paper considers the case with noisy channel and addresses distributed joint source–channel coding (JSCC), while targeting at the important application of scalable video transmission over wire...
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| Vydané v: | Signal processing Ročník 86; číslo 11; s. 3212 - 3225 |
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Elsevier B.V
01.11.2006
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| Abstract | Based on recent works on Wyner–Ziv coding (WZC) (or lossy source coding with decoder side information), this paper considers the case with noisy channel and addresses distributed joint source–channel coding (JSCC), while targeting at the important application of scalable video transmission over wireless networks. In WZC, after quantization, Slepian–Wolf coding (SWC) is used to reduce the rate. SWC is traditionally realized by sending syndromes of a linear channel code. Since syndromes of the channel code can only compress but cannot protect, for transmission over noisy channels, additional error protection is needed. However, instead of using one channel code for SWC and one for error protection, our idea is to use a
single channel code to achieve both compression and protection. We replace the traditional syndrome-based SWC scheme by the parity-based one, where only parity bits of the Slepian–Wolf channel code are sent. If the amount of transmitted parity bits increases above the Slepian–Wolf limit, the added redundancy is exploited to cope against the noise in the transmission channel. Using irregular repeat-accumulate codes for practical parity-based SWC, we design a novel layered Wyner–Ziv video coder which is robust to channel failures and thus very suitable for wireless communications. Our simulation results show great advantages of the proposed solution based on JSCC compared to the traditional approach where source and channel coding are performed separately. |
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| AbstractList | Based on recent works on Wyner–Ziv coding (WZC) (or lossy source coding with decoder side information), this paper considers the case with noisy channel and addresses distributed joint source–channel coding (JSCC), while targeting at the important application of scalable video transmission over wireless networks. In WZC, after quantization, Slepian–Wolf coding (SWC) is used to reduce the rate. SWC is traditionally realized by sending syndromes of a linear channel code. Since syndromes of the channel code can only compress but cannot protect, for transmission over noisy channels, additional error protection is needed. However, instead of using one channel code for SWC and one for error protection, our idea is to use a
single channel code to achieve both compression and protection. We replace the traditional syndrome-based SWC scheme by the parity-based one, where only parity bits of the Slepian–Wolf channel code are sent. If the amount of transmitted parity bits increases above the Slepian–Wolf limit, the added redundancy is exploited to cope against the noise in the transmission channel. Using irregular repeat-accumulate codes for practical parity-based SWC, we design a novel layered Wyner–Ziv video coder which is robust to channel failures and thus very suitable for wireless communications. Our simulation results show great advantages of the proposed solution based on JSCC compared to the traditional approach where source and channel coding are performed separately. |
| Author | Xu, Qian Xiong, Zixiang Stanković, Vladimir |
| Author_xml | – sequence: 1 givenname: Qian surname: Xu fullname: Xu, Qian email: qianxu@ece.tamu.edu – sequence: 2 givenname: Vladimir surname: Stanković fullname: Stanković, Vladimir email: stankovi@ece.tamu.edu – sequence: 3 givenname: Zixiang surname: Xiong fullname: Xiong, Zixiang email: zx@ece.tamu.edu |
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| CitedBy_id | crossref_primary_10_1109_TSP_2010_2087326 crossref_primary_10_1109_LCOMM_2010_091710_101062 crossref_primary_10_1016_j_image_2008_04_004 crossref_primary_10_1109_TIP_2010_2070074 crossref_primary_10_1109_ACCESS_2016_2537739 crossref_primary_10_1186_1687_1499_2012_106 crossref_primary_10_1007_s11042_016_4245_x crossref_primary_10_1049_iet_com_2013_1005 crossref_primary_10_1109_LCOMM_2013_101613_131616 crossref_primary_10_1109_TBC_2010_2058371 crossref_primary_10_1109_TSP_2009_2026070 crossref_primary_10_1155_2009_508167 |
| Cites_doi | 10.1109/79.985684 10.1109/TIT.1974.1055171 10.1109/MSP.2004.1328091 10.1002/ett.4460060514 10.1109/18.661505 10.1109/TIT.2002.1003821 10.1109/18.21245 10.1109/TMM.2003.822995 10.1109/76.911157 10.1109/18.21246 10.1109/TIT.2004.831781 10.1002/j.1538-7305.1948.tb01338.x 10.1109/JPROC.2004.839619 10.1109/TIP.2006.884925 10.1109/TIT.1973.1055037 10.1002/j.1538-7305.1948.tb00917.x 10.1109/TIT.2006.871046 10.1109/TIT.1976.1055508 |
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| Keywords | Wyner–Ziv video coding Distributed joint source–channel coding Irregular repeat-accumulate codes Slepian–Wolf coding |
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