Invention Grant
- Patent Title: Machine-learning-based adaptation of coding parameters for video encoding using motion and object detection
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Application No.: US17171262Application Date: 2021-02-09
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Publication No.: US11671632B2Publication Date: 2023-06-06
- Inventor: Kirill Aleksandrovich Malakhov , Hu Chen , Zhijie Zhao , Dmitry Vadimovich Novikov , Marat Ravilevich Gilmutdinov
- Applicant: Huawei Technologies Co., Ltd.
- Applicant Address: CN Shenzhen
- Assignee: HUAWEI TECHNOLOGIES CO., LTD.
- Current Assignee: HUAWEI TECHNOLOGIES CO., LTD.
- Current Assignee Address: CN Shenzhen
- Agency: Conley Rose, P.C.
- Main IPC: H04N19/96
- IPC: H04N19/96 ; H04N19/124 ; H04N19/176 ; H04N19/52 ; G06N20/00

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.
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