Title:
Quantization and Entropy Coding in the Versatile Video Coding (VVC) Standard
Author(s):
Schwarz, Heiko; Coban, Muhammed; Karczewicz, Marta; Chuang, Tzu-Der; Bossen, Frank; Alshin, Alexander; Lainema, Jani; Helmrich, Christian R.; Wiegand, Thomas
Year of publication:
2021
Available Date:
2021-12-14T14:20:00Z
Abstract:
The paper provides an overview of the quantization and entropy coding methods in the Versatile Video Coding (VVC) standard. Special focus is laid on techniques that improve coding efficiency relative to the methods included in the High Efficiency Video Coding (HEVC) standard: The inclusion of trellis-coded quantization, the advanced context modeling for entropy coding of transform coefficient levels, the arithmetic coding engine with multi-hypothesis probability estimation, and the joint coding of chroma residuals. Beside a description of the design concepts, the paper also discusses motivations and implementation aspects. The effectiveness of the quantization and entropy coding methods specified in VVC is validated by experimental results.
Part of Identifier:
e-ISSN (online): 1558-2205
Keywords:
Versatile video coding (VVC)
quantization
entropy coding
transform coefficient coding
video coding
DDC-Classification:
004 Datenverarbeitung; Informatik
Publication Type:
Wissenschaftlicher Artikel
URL of the Original Publication:
DOI of the Original Publication:
Journaltitle:
IEEE Transactions on Circuits and Systems for Video Technology
Department/institution:
Mathematik und Informatik
Institut für Informatik
