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A Hardware-Friendly Fast VVC Test Zone Search Algorithm Using Machine Learning

delete2024-02-27
delete0
PRE
AI
R
Ramiro Viana *
F
Fernando Sagrilo
R
Rafael Ferreira
M
Marta Loose
M
Marcelo Porto
G
Guilherme Corrêa
L
Luciano Agostini
DOI：10.1109/LASCAS60203.2024.10506120delete
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Abstract

Abstract

En 中文
The Versatile Video Coding (VVC) currently stands as the state-of-the-art in video coding efficiency, but with the cost of substantial computational effort and, consequently, high energy consumption. This elevated energy usage poses a critical challenge, particularly for applications designed for battery-powered devices. A key component of the VVC is the Test Zone Search (TZS) algorithm, known for its demanding computational requirements. This paper addresses this issue by introducing a machine learning based solution for the TZS algorithm. Notably, this solution is hardware-friendly, leveraging Decision Trees that are straightforward to implement in hardware. The proposed solution achieved an average 86.98% reduction in TZS encoding time with a mere 0.45% impact on BD-BR.
Keywords:
Test Zone Search
Versatile Video Coding
Machine Learning
Decision Trees
Hardware-Friendly

Journal

I
IEEE Latin American Symposium on Circuits and Systems
IF:
0
Papers:
10
Citations:
0

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