Higher precision range estimation for context-based adaptive binary arithmetic coding

The Lagrangian rate distortion optimisation is widely employed in modern video encoders, such as high-efficiency video coding (H.265/HEVC). In this work, the authors propose a more accurate context-based adaptive binary arithmetic coding look-up table that can enhance compression quality and provide...

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Vydáno v:	IET image processing Ročník 14; číslo 1; s. 125 - 131
Hlavní autoři:	Im, Sio-Kei, Chan, Ka-Hou
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 10.01.2020
Témata:	accurate context‐based adaptive binary arithmetic coding look‐up table adaptive codes arithmetic codes BD‐RATE gain binary codes context modelling finite state machines finite‐state machine HEVC Test Model standard table high‐efficiency video coding Lagrangian rate distortion optimisation modern video encoders optimisation probability probability states range estimation rate distortion theory Research Article video coding binary codes finite-state machine probability probability states range estimation video coding finite state machines adaptive codes arithmetic codes rate distortion theory Lagrangian rate distortion optimisation optimisation high-efficiency video coding modern video encoders HEVC Test Model standard table accurate context-based adaptive binary arithmetic coding look-up table context modelling BD-RATE gain
ISSN:	1751-9659, 1751-9667
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