Symbol positions-based Slepian–Wolf coding with application to distributed video coding

In this study, the authors will show that coding the positions of the symbols, instead of their values, can be a good way to implement efficient Slepian–Wolf (SW) coding and can reduce the complexity of both the encoder and the decoder. The authors will also propose a practical distributed video cod...

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Veröffentlicht in:IET image processing Jg. 14; H. 11; S. 2301 - 2309
Hauptverfasser: Benierbah, Said, Khamadja, Mohammed
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 18.09.2020
Wiley
Schlagworte:
bitplane‐based DVC system
channel coding
channel coding operations
decoding
efficient Slepian–Wolf coding
encoder
fast parallel decoding
position‐based SW coding
practical distributed video coding system
probable symbols
rate distortion theory
Research Article
source coding
symbol positions‐based Slepian–Wolf coding
video coding
efficient Slepian–Wolf coding
probable symbols
source coding
channel coding
position-based SW coding
video coding
encoder
rate distortion theory
decoding
symbol positions-based Slepian–Wolf coding
practical distributed video coding system
fast parallel decoding
bitplane-based DVC system
channel coding operations
ISSN:1751-9659, 1751-9667
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:In this study, the authors will show that coding the positions of the symbols, instead of their values, can be a good way to implement efficient Slepian–Wolf (SW) coding and can reduce the complexity of both the encoder and the decoder. The authors will also propose a practical distributed video coding (DVC) system that exploits this idea. This system will use binary maps to indicate the positions of the most probable symbols, instead of separating them into bitplanes. Simulations show that this position-based SW coding allows a simple and more efficient DVC system with improved rate-distortion performance, compared to the bitplane-based DVC system that uses the same side information. The memory requirements at the encoder are reduced by about 50% and the number of channel coding operations is also reduced. This DVC system also allows to use an easy way to control quantisation, reduces the decoding latency, and allows fast parallel decoding.
ISSN:1751-9659
1751-9667
DOI:10.1049/iet-ipr.2018.5942