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公开(公告)号：US20230049334A1
公开(公告)日：2023-02-16
申请号：US17971086
申请日：2022-10-21
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Hu Chen , Elena Alexandrovna Alshina , Weiwei Xu , Quanhe Yu , Yichuan Wang
IPC: H04N5/235 , G06T5/00 , H04N19/154 , G06V10/60
Abstract: This application provides a high dynamic range HDR video processing method, an encoding device, and a decoding device. The method includes: obtaining dynamic metadata of an Nth HDR video frame according to a dynamic metadata generation algorithm; calculating a tone-mapping (tone-mapping) curve parameter of the Nth HDR video frame based on the dynamic metadata of the Nth HDR video frame; generating a tone-mapping curve based on the curve parameter; determining, according to a quality assessment algorithm, distortion D′ caused by the tone-mapping curve; comparing D′ and DT, to determine a mode used by the Nth HDR video frame, where the mode is an automatic mode or a director mode, and DT is a threshold value; and determining metadata of the Nth HDR video frame based on the determined mode used by the Nth HDR video frame.
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公开(公告)号：US12217438B2
公开(公告)日：2025-02-04
申请号：US17174536
申请日：2021-02-12
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Zhijie Zhao , Yuntan Fang , Jun Zha , Hu Chen , Jiantong Zhou
Abstract: Embodiments of this application disclose example apparatuses, methods, and computer program products for extracting a feature from an image of a scene. One example apparatus comprises at least one processor and one or more memories coupled to the at least one processor and storing programming instructions for execution by the at least one processor to, in response to a feature extraction event, extract a feature from first image data representing a first image of a scene, wherein the feature extraction event is based on second image data representing a second image of the scene.
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3.发明申请公开(公告)号：US20230069953A1
公开(公告)日：2023-03-09
申请号：US17987676
申请日：2022-11-15
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Hu Chen , Lars Hertel , Erhardt Barth , Thomas Martinetz , Elena Alexandrovna Alshina , Anand Meher Kotra , Nicola GIULIANI
Abstract: A method and apparatus are provided for processing with a trained neural network, and for training of such neural network for image modification, which relate to image processing and in particular to modification of an image using the processing such as the neural network. The processing is performed to generate an output image. The output image is generated by processing the input image with the neural network. The processing with the neural network includes at least one stage including image down-sampling and filtering of the down-sampled image and at least one stage of image up-sampling. The image down-sampling is performed by applying a strided convolution. According to the application, efficiency of the neural network is increased, which may lead to faster learning and improved performance.
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公开(公告)号：US20230054477A1
公开(公告)日：2023-02-23
申请号：US17982046
申请日：2022-11-07
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Hu Chen , Yichuan Wang , Weiwei Xu , Quanhe Yu , Elena Alexandrovna Alshina
Abstract: The present disclosure relates generally to the field of video processing, and more particularly, to high dynamic range (HDR) image processing. In particular, the present disclosure relates to a method for determining a parameter set for a tone mapping curve. The method comprises obtaining a plurality of parameter sets, wherein each parameter set defines the tone mapping curve, and wherein each parameter set is derived based on one of a plurality of HDR video frames. Further, the method comprises temporally filtering the plurality of parameter sets to obtain a temporally filtered parameter set.
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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.
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Patent Agency Ranking
公开(公告)号：US20250045871A1
公开(公告)日：2025-02-06
申请号：US18713237
申请日：2022-11-23
Applicant: Huawei Technologies Co., Ltd.
Inventor： Xiangyu Hu , Weiwei Xu , Jinsong Wen , Yanbing Jia , Jiantong Zhou , Qiyan Zhai , Yihua Zeng , Quanhe Yu , Zizhong Wang , Yichuan Wang , Hu Chen , Jinqin Ai , Yutong Hu
IPC: G06T5/20 , G06F3/04845 , G06F3/04883
Abstract: This application provides a picture processing method. The method includes: The encoder side obtains a to-be-processed picture, obtains a plurality of groups of visual sensory experience parameters, and encodes the to-be-processed picture and the plurality of groups of visual sensory experience parameters. At a decoder side, the method includes: The decoder side obtains a to-be-processed picture, obtains a zoom-in operation instruction, obtains one or more groups of visual sensory experience parameters corresponding to one or more local pictures, and separately processes the corresponding local picture based on the one or more groups of visual sensory experience parameters to obtain a processed local picture.
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公开(公告)号：US20230057829A1
公开(公告)日：2023-02-23
申请号：US17982221
申请日：2022-11-07
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Hu Chen , Yichuan Wang , Weiwei Xu , Quanhe Yu , Elena Alexandrovna Alshina
Abstract: The present disclosure relates generally to the field of video processing, and more particularly to high dynamic range (HDR) video and image processing. In particular, the present disclosure relates to determining one or more curve parameters of a tone mapping curve. For example, a device (encoder or decoder) may obtain a high dynamic range (HDR) video frame and metadata associated to the HDR video frame. The device further obtains a pair of anchor points, based on the HDR video frame and the metadata. The pair of anchor points comprises a first anchor point and a second anchor point of the tone mapping curve. Moreover, the device generates the one or more curve parameters of the tone mapping curve based on the pair of anchor points.
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公开(公告)号：US20240397070A1
公开(公告)日：2024-11-28
申请号：US18793919
申请日：2024-08-04
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Yichuan Wang , Quanhe Yu , Weiwei Xu , Hu Chen , Hongjie You
IPC: H04N19/30 , G06T3/40 , H04N9/64 , H04N19/136 , H04N19/182 , H04N19/70
Abstract: The present disclosure discloses an image processing method, apparatus, and a storage medium. The method includes: parsing an original bitstream of a to-be-processed image to obtain the to-be-processed image; parsing a first layered bitstream of the to-be-processed image to obtain a first layered image of the to-be-processed image; determining a second layered image of the to-be-processed image based on the to-be-processed image and the first layered image, where one of the first layered image and the second layered image is a base layer image, and the other of the first layered image and the second layered image is a detail layer image; performing tone mapping on the base layer image to obtain a mapping result of the base layer image; and fusing the mapping result of the base layer image and the detail layer image.
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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.
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10.发明申请公开(公告)号：US20230076920A1
公开(公告)日：2023-03-09
申请号：US17987723
申请日：2022-11-15
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Hu Chen , Lars Hertel , Erhardt Barth , Thomas Martinetz , Elena Alexandrovna Alshina , Anand Meher Kotra , Nicola GIULIANI
Abstract: The present disclosure relates to image processing and in particular to modification of an image using a processing such as neural network. The processing is performed to generate a correction image based on an input image. Then, the input image is modified by combining it with the correction image. The processing with the neural network includes at least one stage including image down-sampling and filtering of the down-sampled image; and at least one stage of image up-sampling. An advantage of such approach is increased efficiency of the neural network, which may lead to faster learning and improved performance. The embodiments provide methods and apparatuses for the processing with a trained neural network, as well as methods and apparatuses for training of such neural network for image modification.
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