公开(公告)号：US20250142079A1

公开(公告)日：2025-05-01

申请号：US19010423

申请日：2025-01-06

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Jue MAO ,  Dequan YU ,  Sheng QIAN ,  Yin ZHAO

IPC: H04N19/136 ,  H04N19/167 ,  H04N19/17 ,  H04N19/463

Abstract: Embodiments of this application provide an encoding and a device. The encoding method includes: obtaining an image; generating feature maps of C channels based on the image, the feature maps including feature values of feature points; generating estimated information matrices of the C channels based on the feature maps of the C channels; grouping the C channels into N channel groups; for at least one target channel group in the N channel groups, determining, based on at least one feature value of at least one encoded feature point corresponding to the target channel group and an estimated information matrix corresponding to the target channel group, at least one probability distribution parameter of a to-be-encoded feature point corresponding to the target channel group; determining, based on the at least one probability distribution parameter, probability distribution of the to-be-encoded feature point; and encoding the to-be-encoded feature point based on the probability distribution.

公开(公告)号：US20240007637A1

公开(公告)日：2024-01-04

申请号：US18368683

申请日：2023-09-15

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Xiang MA ,  Jue MAO ,  Haitao YANG

IPC: H04N19/13 ,  H04N19/91 ,  H04N19/132 ,  H04N19/172

CPC classification number: H04N19/13 ,  H04N19/91 ,  H04N19/132 ,  H04N19/172

Abstract: This application relates to the field of artificial intelligence (AI)-based video or picture compression technologies. The decoding method includes: performing probability estimation on input data by using a neural network, to obtain probability distribution of residual values of a plurality of samples and included in a residual of a current picture, where the input data includes at least a residual of a reference picture, and the reference picture is a decoded picture obtained before the current picture is decoded; performing arithmetic entropy decoding on a bitstream based on the probability distribution of the residual values of the plurality of samples and included in the residual of the current picture, to obtain first entropy decoding data, where the first entropy decoding data represents the residual of the current picture; and obtaining a reconstructed sample value of the current picture based on the residual of the current picture.

公开(公告)号：US20240233075A9

公开(公告)日：2024-07-11

申请号：US18400522

申请日：2023-12-29

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Yin ZHAO ,  Jue MAO ,  Haitao YANG

IPC: G06T3/4046 ,  G06T7/60

CPC classification number: G06T3/4046 ,  G06T7/60 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: This application relates to the field of artificial intelligence technologies, and provides a feature map processing method and a related device. The method is implemented by invoking a neural network model that includes a plurality of input adaptation branches and a post-processing part. An output of each of the plurality of input adaptation branches is an input of the post-processing part, and each of the plurality of input adaptation branches can downsample a feature map at a different ratio.

公开(公告)号：US20240007658A1

公开(公告)日：2024-01-04

申请号：US18223126

申请日：2023-07-18

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Jue MAO ,  Haitao YANG ,  Jing WANG ,  Ze CUI

IPC: H04N19/30 ,  H04N19/184 ,  H04N19/13 ,  H04N19/136 ,  H04N19/42

CPC classification number: H04N19/30 ,  H04N19/184 ,  H04N19/13 ,  H04N19/136 ,  H04N19/42

Abstract: This application provides a scalable encoding and decoding method and apparatus. The encoding method includes: applying a control signal of a first signal component of a video signal to a first feature map of the first signal component, to obtain a second feature map of the first signal component, where the control signal of the first signal component is obtained through learning; applying a control signal of a second signal component of the video signal to a first feature map of the second signal component, to obtain a second feature map of the second signal component, where the control signal of the second signal component is obtained through learning; and obtaining a bitstream of the video signal based on the second feature map of the first signal component and the second feature map of the second signal component.

公开(公告)号：US20240221230A1

公开(公告)日：2024-07-04

申请号：US18604842

申请日：2024-03-14

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Yibo SHI ,  Yunying GE ,  Jing WANG ,  Jue MAO ,  Yin ZHAO ,  Haitao YANG

IPC: G06T9/00

CPC classification number: G06T9/001 ,  G06T9/002

Abstract: This application provides a feature map encoding and decoding method and an apparatus, and relates to the field of artificial intelligence (AI)-based data encoding and decoding technologies. The feature map decoding method includes: obtaining a bitstream of a to-be-decoded feature map, where the to-be-decoded feature map includes a plurality of feature elements; obtaining a first probability estimation result corresponding to each feature element based on the bitstream, where the first probability estimation result includes a first peak probability; determining a set of first feature elements and a set of second feature elements from the plurality of feature elements based on a first threshold and the first peak probability corresponding to each feature element; and obtaining a decoded feature map based on the set of first feature elements and the set of second feature elements. This can improve encoding and decoding performance while reducing encoding and decoding complexity.

公开(公告)号：US20240135491A1

公开(公告)日：2024-04-25

申请号：US18400522

申请日：2023-12-29

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Yin ZHAO ,  Jue MAO ,  Haitao YANG

IPC: G06T3/4046 ,  G06T7/60

CPC classification number: G06T3/4046 ,  G06T7/60 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: This application relates to the field of artificial intelligence technologies, and provides a feature map processing method and a related device. The method is implemented by invoking a neural network model that includes a plurality of input adaptation branches and a post-processing part. An output of each of the plurality of input adaptation branches is an input of the post-processing part, and each of the plurality of input adaptation branches can downsample a feature map at a different ratio.

公开(公告)号：US20230239516A1

公开(公告)日：2023-07-27

申请号：US18191990

申请日：2023-03-29

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Jue MAO ,  Haitao YANG ,  Xiang MA

IPC: H04N19/91 ,  H04N19/132 ,  H04N19/172 ,  H04N19/176 ,  H04N19/50 ,  H04N19/42 ,  H04N19/70

CPC classification number: H04N19/91 ,  H04N19/132 ,  H04N19/172 ,  H04N19/176 ,  H04N19/50 ,  H04N19/42 ,  H04N19/70

Abstract: The technology of this application relates to an entropy encoding method that includes obtaining base layer information of a to-be-encoded picture block, where the base layer information corresponds to M samples in the picture block, and M is a positive integer, obtaining K elements corresponding to enhancement layer information of the picture block, where the enhancement layer information corresponds to N samples in the picture block, both K and N are positive integers, and N≥M, inputting the base layer information into a neural network to obtain K groups of probability values, where the K groups of probability values correspond to the K elements, and any group of probability values is for representing probabilities of a plurality of candidate values of a corresponding element, and performing entropy encoding on the K elements based on the K groups of probability values.