Huawei Technologies Co., Limited

Fan Liang

Huanbang Chen

Sixin Lin

Haitao Yang

Jianhua Zheng

A picture prediction method and a related apparatus are disclosed. A picture prediction method includes: determining K1 pixel samples in a picture block x, and determining a candidate motion information unit set corresponding to each pixel sample in the K1 pixel samples, where the candidate motion information unit set corresponding to each pixel sample includes at least one candidate motion information unit; determining a merged motion information unit set i including K1 motion information units, where each motion information unit in the merged motion information unit set i is selected from at least a part of motion information units in candidate motion information unit sets corresponding to different pixel samples in the K1 pixel samples; and predicting a pixel value of the picture block x by using a non-translational motion model and the merged motion information unit set i.

Picture prediction method and related apparatus

A picture prediction method includes: determining a reference block of a current block; obtaining location information and motion information of at least two feature points in the reference block; calculating motion information of each subblock in the current block based on the location information and the motion information of the at least two feature points in the reference block; and performing motion compensation prediction on each subblock in the current block based on the motion information of each subblock in the current block, to obtain a prediction block of the current block.

Picture prediction method and related device

A picture prediction method includes: determining two pixel samples in a current picture block, and determining a candidate motion information unit set corresponding to each of the two pixel samples; determining a merged motion information unit set i including two motion information units; and predicting a pixel value of the current picture block by using an atone motion model and the merged motion information unit set i.

A picture prediction method includes: determining two pixel samples in a current picture block, and determining a candidate motion information unit set corresponding to each of the two pixel samples; determining a merged motion information unit set i including two motion information units; and predicting a pixel value of the current picture block by using an affine motion model and the merged motion information unit set i.

A method for determining a block partition manner in video encoding including: acquiring processing information of N related blocks of a current block; and determining a block partition manner of the current block according to the processing information of the N related blocks; where the processing information is block partition depth information and/or block encoding mode information, N is a positive integer, and the N related blocks include at least one of the following picture blocks: at least one neighboring block of the current block, a reference block of the current block, and at least one neighboring block of the reference block.

Method for determining block partition manner in video codec, and related apparatus

Embodiments of a picture prediction method and a related apparatus are disclosed. A picture prediction method includes: determining K1 pixel samples in a picture block x, and determining a candidate motion information unit set corresponding to each pixel sample in the K1 pixel samples, where the candidate motion information unit set corresponding to each pixel sample includes at least one candidate motion information unit; determining a merged motion information unit set i including K1 motion information units, where each motion information unit in the merged motion information unit set i is selected from at least a part of motion information units in candidate motion information unit sets corresponding to different pixel samples in the K1 pixel samples; and predicting a pixel value of the picture block x by using a non-translational motion model and the merged motion information unit set i.

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Guangzhou, China

Fan Liang