Semantic Scholar Open Access 2021 53 sitasi

Motion Vector Coding and Block Merging in the Versatile Video Coding Standard

Wei-Jung Chien Li Zhang Martin Winken Xiang Li Ru-Ling Liao +4 lainnya

Abstrak

This paper overviews the motion vector coding and block merging techniques in the Versatile Video Coding (VVC) standard developed by the Joint Video Experts Team (JVET). In general, inter-prediction techniques in VVC can be classified into two major groups: “whole block-based inter prediction” and “subblock-based inter prediction”. In this paper, we focus on techniques for whole block-based inter prediction. As in its predecessor, High Efficiency Video Coding (HEVC), whole block-based inter prediction in VVC is represented by adaptive motion vector prediction (AMVP) mode or merge mode. Newly introduced features purely for AMVP mode include symmetric motion vector difference and adaptive motion vector resolution. The features purely for merge mode include pairwise average merge, merge with motion vector difference, combined inter-intra prediction and geometric partitioning mode. Coding tools such as history-based motion vector prediction and bidirectional prediction with coding unit weights can be applied on both AMVP mode and merge mode. This paper discusses the design principles and the implementation of the new inter-prediction methods. Using objective metrics, simulation results show that the methods overviewed in the paper can jointly achieve 6.2% and 4.7% BD-rate savings on average with the random access and low-delay configurations, respectively. Significant subjective picture quality improvements of some tools are also reported when comparing the resulting pictures at same bitrates.

Topik & Kata Kunci

Penulis (9)

W

Wei-Jung Chien

L

Li Zhang

M

Martin Winken

X

Xiang Li

R

Ru-Ling Liao

H

Han Gao

C

Chih-Wei Hsu

H

Hongbin Liu

C

Chun-Chi Chen

Format Sitasi

Chien, W., Zhang, L., Winken, M., Li, X., Liao, R., Gao, H. et al. (2021). Motion Vector Coding and Block Merging in the Versatile Video Coding Standard. https://doi.org/10.1109/tcsvt.2021.3101212

Akses Cepat

Lihat di Sumber doi.org/10.1109/tcsvt.2021.3101212
Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Total Sitasi
53×
Sumber Database
Semantic Scholar
DOI
10.1109/tcsvt.2021.3101212
Akses
Open Access ✓