arrow
Return

Extended Coding Unit Partitioning for Future Video Coding

delete2020-01-01
delete23
PRE
AI
M
Meng Wang
J
Junru Li
L
Li Zhang *
K
Kai Zhang
H
Hongbin Liu
S
Shiqi Wang *
S
Sam Kwong
马思伟 (Siwei Ma)
DOI:10.1109/TIP.2019.2955238delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
The flexible partitioning structure such as quad-tree plus binary-tree (QTBT) plays important roles in the next generation video coding standard. This paper investigates new coding unit (CU) partitioning methods to further improve the compression efficiency. In particular, we propose the extended quad-tree partitioning and asymmetric ternary-tree partitioning to further develop the principle behind the existing partitioning structure. First, a central extended quad-tree (CENTRAL-EQT) partitioning is introduced, which extends the traditional QT partitioning with central pattern and generates four elaborately designed sub-CUs with different sizes. Second, we propose a parallel extended quad-tree (PARALLEL-EQT) partitioning that allows the CU to split along a single direction, leading to four identical size sub-blocks. Third, we present an asymmetric ternary-tree (ATT) method, which splits the CU asymmetrically into three sub-blocks. The proposed new partitioning methods allow the interleaving with binary-tree partitioning for enhanced adaptability, and they can be jointly enabled to capture different characteristics of the local content. Simulation results on the JEM7-QTBT-Only platform show that averagely 4.92, 4.81 and 5.08 BD-Rate savings are achieved for the luma component by the proposed methods under random access (RA), low-delay P (LDP) and low-delay B (LDB) configurations, respectively, with around 725 encoding time increase and negligible decoding time increase. Furthermore, experimental results also reveal that the proposed partitioning schemes are effective when cooperating with the upcoming Versatile Video Coding standard.
Keywords:
Image coding
Video coding
Encoding
Copper
Standards
Next generation networking
Decoding
CU partitioning
quad-tree partitioning
asymmetric ternary-tree partitioning
video coding
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Image Processing cover
IEEE Transactions on Image Processing
IF:
13.7
Papers:
1.0W
Citations:
8.4W

Organization

C
City University of Hong Kong
Scholars:
2.3W
Papers: 3.0W
Citations: 6.1W
P
peking university
Scholars:
11.8W
Papers: 8.7W
Citations: 146