Advanced Geometric-based Inter Prediction for Versatile Video Coding

被引：10

作者：

Gao, Han ^{[1
]}

Liao, Ru-Ling ^{[2
]}

Reuze, Kevin ^{[3
]}

Esenlik, Semih ^{[1
]}

Alshina, Elena ^{[1
]}

Ye, Yan ^{[2
]}

Chen, Jie ^{[2
]}

Luo, Jiancong ^{[2
]}

Chen, Chun-Chi ^{[3
]}

Huang, Han ^{[3
]}

Chien, Wei-Jung ^{[3
]}

Seregin, Vadim ^{[3
]}

Karczewicz, Marta ^{[3
]}

机构：

[1] Huawei Technol, Munich, Germany

[2] Alibaba Grp, Beijing, Peoples R China

[3] Qualcomm Inc, San Diego, CA USA

来源：

2020 DATA COMPRESSION CONFERENCE (DCC 2020) | 2020年

关键词：

D O I：

10.1109/DCC47342.2020.00017

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Block-based partitioning is one of the fundamental techniques in video coding. Geometric-based block partitioning is a well-studied method to enable better spatial adaptation to the signal properties. This paper introduces the most recent proposal of advanced geometric-based inter prediction (GIP) made to the state-of-the-art are video coding standard - Versatile Video Coding (VVC). Implemented in the latest test model VTM-6.0 to generalize the existing triangle partition mode (TPM) and evaluated with the Joint Video Experts Team (JVET) Common Test Conditions (CTC) sequences, the proposed advanced GIP scheme provides luma BD-rate reduction of 0.56 % for random access (RA) and 1.37 % for low-delay (LB) test cases with 2 % encoder runtime increase and negligible decoder runtime increase. Furthermore, BD-rate reductions up to 2.92 % and 3.49 % for RA and LB test cases can be achieved in the absence of multiple related VVC inter prediction tools.

引用

页码：93 / 102

页数：10

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