公开(公告)号：US11671632B2

公开(公告)日：2023-06-06

申请号：US17171262

申请日：2021-02-09

Applicant: Huawei Technologies Co., Ltd.

Inventor： Kirill Aleksandrovich Malakhov ,  Hu Chen ,  Zhijie Zhao ,  Dmitry Vadimovich Novikov ,  Marat Ravilevich Gilmutdinov

IPC: H04N19/96 ,  H04N19/124 ,  H04N19/176 ,  H04N19/52 ,  G06N20/00

CPC classification number: H04N19/96 ,  G06N20/00 ,  H04N19/124 ,  H04N19/176 ,  H04N19/52

Abstract: A method for encoding a video image using coding parameters, adapted on the basis of motion of the video image and of an output of a machine-learning based model, wherein the machine-learning based model is input with samples of a block of the video image and motion information of the samples, and along with texture, wherein the machine-learning model segments the video image into regions based on strength of the motion determined from the motion information. An object is detected within the video based on the motion and the texture, and spatial-time coding parameters are determined based on the strength of the motion, and whether or not the detected objects moves.

公开(公告)号：US12182963B2

公开(公告)日：2024-12-31

申请号：US17458699

申请日：2021-08-27

Applicant: Huawei Technologies Co., Ltd.

Inventor： Nickolay Dmitrievich Egorov ,  Elena Alexandrovna Alshina ,  Marat Ravilevich Gilmutdinov ,  Dmitry Vadimovich Novikov ,  Anton Igorevich Veselov ,  Kirill Aleksandrovich Malakhov

IPC: G06T3/4015 ,  G06N3/08 ,  G06T5/70 ,  G06T5/73 ,  G06T5/90

Abstract: An image processing apparatus processes a color filter mosaic, CFM, image of a scene into a final image of the scene. The image processing apparatus includes processing circuitry configured to implement a neural network. The neural network is configured to process the CFM image into an enhanced CFM image. The processing circuitry is further configured to transform the enhanced CFM image into the final image.

公开(公告)号：US20210168408A1

公开(公告)日：2021-06-03

申请号：US17171262

申请日：2021-02-09

Applicant: Huawei Technologies Co., Ltd.

Inventor： Kirill Aleksandrovich Malakhov ,  Hu Chen ,  Zhijie Zhao ,  Dmitry Vadimovich Novikov ,  Marat Ravilevich Gilmutdinov

IPC: H04N19/96 ,  H04N19/52 ,  H04N19/124 ,  G06N20/00 ,  H04N19/176

Abstract: A method for encoding a video image using coding parameters, adapted on the basis of motion of the video image and of an output of a machine-learning based model, wherein the machine-learning based model is input with samples of a block of the video image and motion information of the samples, and along with texture, wherein the machine-learning model segments the video image into regions based on strength of the motion determined from the motion information. An object is detected within the video based on the motion and the texture, and spatial-time coding parameters are determined based on the strength of the motion, and whether or not the detected objects moves.