公开(公告)号：US20230096567A1

公开(公告)日：2023-03-30

申请号：US17951919

申请日：2022-09-23

Applicant: APPLE INC.

Inventor： Alican NALCI ,  Alexandros TOURAPIS ,  Hsi-Jung WU ,  Jiefu ZHAI ,  Jingteng XUE ,  Jun XIN ,  Mei GUO ,  Xingyu ZHANG ,  Yeqing WU ,  Yunfei ZHENG ,  Jean Begaint

IPC: H04N19/147 ,  H04N19/42 ,  H04N19/172 ,  H04N19/176 ,  H04N19/186 ,  H04N19/119 ,  H04N19/91 ,  H04N19/70 ,  H04N19/124 ,  H04N19/60

Abstract: Improved neural-network-based image and video coding techniques are presented, including hybrid techniques that include both tools of a host codec and neural-network-based tools. In these improved techniques, the host coding tools may include conventional video coding standards such H.266 (VVC). In an aspects, source frames may be partitioned and either host or neural-network-based tools may be selected per partition. Coding parameter decisions for a partition may be constrained based on the partitioning and coding tool selection. Rate control for host and neural network tools may be combined. Multi-stage processing of neural network output may use a checkerboard prediction pattern.