Field programmable gate array implementation of variable-bins high efficiency video coding CABAC decoder with path delay optimisation

Context-based adaptive binary arithmetic coding (CABAC) is a single operation mode for entropy coding in the last video coding standard high-efficiency video coding. For high-resolution applications, the throughput of one bin/cycle is not sufficient and it is a very challenging task to implement pip...

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Veröffentlicht in:	IET image processing Jg. 13; H. 6; S. 954 - 963
Hauptverfasser:	Menasri, Wahiba, Skoudarli, Abdellah, Belhadj, Aichouche, Azzaz, Mohamed Salah
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 01.05.2019
Schlagworte:	2.2 bins/cycle adaptive codes algorithm‐architecture adequation arithmetic codes bin/cycle binary codes CABAC decoder throughput CABAC decoding architecture context‐based adaptive binary arithmetic coding critical path delay decoding entropy codes entropy coding field programmable gate array implementation field programmable gate arrays frequency 123.49 MHz hardware description languages high‐resolution applications high‐throughput path delay optimisation pipeline architectures Research Article single operation mode throughput bottleneck variable‐bins high efficiency video coding CABAC decoder video coding video coding standard high‐efficiency video coding video decoding field programmable gate array implementation CABAC decoding architecture algorithm-architecture adequation field programmable gate arrays bin/cycle video coding standard high-efficiency video coding hardware description languages throughput bottleneck arithmetic codes path delay optimisation critical path delay high-throughput context-based adaptive binary arithmetic coding CABAC decoder throughput frequency 123.49 MHz binary codes entropy coding entropy codes single operation mode video coding adaptive codes 2.2 bins/cycle decoding high-resolution applications video decoding variable-bins high efficiency video coding CABAC decoder pipeline architectures
ISSN:	1751-9659, 1751-9667
Online-Zugang:	Volltext
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