GEOMETRY PARTITIONING WITH MOTION VECTOR DIFFERENCE FOR VIDEO CODING

被引:3
|
作者
Deng, Zhipin [1 ]
Zhang, Kai [2 ]
Zhang, Li [2 ]
机构
[1] Bytedance Inc, Beijing 100086, Peoples R China
[2] Bytedance Inc, San Diego, CA 92122 USA
来源
2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP | 2022年
关键词
Video Coding; VVC; Geometry partitioning; GPM; MMVD;
D O I
10.1109/ICIP46576.2022.9898040
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Geometric partitioning mode (GPM) is employed in the latest video coding standard known as versatile video coding (VVC). GPM provides a capability to partition an inter-coded block into two geometric regions with different motion vectors (MVs). However, MVs of the two partitions of a GPM coding unit (CU) are restricted to be selected from a MV candidate list, lacking the flexibility to refine the MVs. This paper presents a method named geometric partitioning with motion vector difference (GMVD). With the proposed GMVD mode, the MV of each GPM partition, partitioned by GPM, is generated as a sum of a base MV selected from a MV candidate list and a motion vector difference, signaled in a similar way as merge motion vector difference (MMVD) in VVC. The presented GMVD has been adopted into the enhanced compression model (ECM), developed by JVET to explore novel coding tools beyond VVC. Experimental results show that the presented GMVD provides an additional average luma BD-rate gain of 0.27% and 0.42% in RA and LB configurations over ECM-1.0 under the JVET CTC, with decent trade-off between compression efficiency and encoder complexity. Moreover, the decoder complexity of GMVD is negligible.
引用
收藏
页码:2271 / 2275
页数:5
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