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公开(公告)号:US11595566B2
公开(公告)日:2023-02-28
申请号:US17854324
申请日:2022-06-30
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Chao Qin , Yuanyou Li , Zhiping Jia
IPC: H04N5/232 , H04M1/72403 , G06F3/041 , H04N5/247
Abstract: Embodiments relate to the field of terminals and disclose a camera switching method for a terminal, and the terminal. In those embodiments, when the terminal is installed with a plurality of cameras, automatic and dynamic switching between the cameras may be implemented based on a to-be-photographed object, thereby improving a photographing effect of the to-be-photographed object. In those embodiment, the terminal may display, in response to a first operation of enabling a photographing function by a user, a first photographing picture captured by a first camera, where the first photographing picture includes a to-be-photographed object. If the to-be-photographed object cannot be displayed completely in the first photographing picture, the terminal may switch from the first photographing picture to a second photographing picture captured by the second camera, and disabling the first camera, where an FOV of the second camera is larger than an FOV of the first camera.
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公开(公告)号:US20200334789A1
公开(公告)日:2020-10-22
申请号:US16759870
申请日:2017-12-01
Applicant: Huawei Technologies Co., Ltd.
Inventor: Yunchao Zhang , Shuai Chen , Zhiping Jia , Lei Miao
Abstract: An image processing method and a device, where the image processing method is performed by a terminal having a digital zoom function, and the method includes determining a target zoom magnification based on a selection input of a user, collecting a to-be-processed image, and processing the to-be-processed image using a target super-resolution convolutional neural network model to obtain a processed image corresponding to the target zoom magnification, where the target super-resolution convolutional neural network model is obtained by training a super-resolution convolutional neural network model using a high-definition training image, a low-definition training image, and a mask image.
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公开(公告)号:US20230188824A1
公开(公告)日:2023-06-15
申请号:US18162761
申请日:2023-02-01
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Chao Qin , Yuanyou Li , Zhiping Jia
CPC classification number: H04N23/61 , H04M1/72403 , G06F3/041 , H04N23/64 , H04N23/69 , H04N23/90 , H04N23/631 , H04M2250/22 , H04M2250/52
Abstract: Embodiments relate to the field of terminals and disclose a camera switching method for a terminal, and the terminal. In those embodiments, when the terminal is installed with a plurality of cameras, automatic and dynamic switching between the cameras may be implemented based on a to-be-photographed object, thereby improving a photographing effect of the to-be-photographed object. In those embodiment, the terminal may display, in response to a first operation of enabling a photographing function by a user, a first photographing picture captured by a first camera, where the first photographing picture includes a to-be-photographed object. If the to-be-photographed object cannot be displayed completely in the first photographing picture, the terminal may switch from the first photographing picture to a second photographing picture captured by the second camera, and disabling the first camera, where an FOV of the second camera is larger than an FOV of the first camera.
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公开(公告)号:US20240062392A1
公开(公告)日:2024-02-22
申请号:US18259718
申请日:2021-12-17
Applicant: Huawei Technologies Co., Ltd.
Inventor: Chao Zhang , Jian Xu , Yaqi Zhang , Hongma Liu , Zhiping Jia , Shuailin Lv
IPC: G06T7/246
CPC classification number: G06T7/248 , G06T2207/20101 , G06T2200/24 , G06T2207/10016
Abstract: An electronic device obtains N frames of images, and then obtains a first operation performed by a user on a target object on a screen. The electronic device displays a target box whose area cyclically changes, obtains information about the target box in an Nth frame of image based on a second operation performed by the user on the target object, and determines a feature vector of the target object based on the information about the target box.
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公开(公告)号:US20220180485A1
公开(公告)日:2022-06-09
申请号:US17680946
申请日:2022-02-25
Applicant: Huawei Technologies Co., Ltd.
Inventor: Yukuai Chen , Shuai Chen , Zhiping Jia , Lei Miao
Abstract: An image processing method includes analyzing a first image including a face image in a plurality of directions, including recognizing photographing background information of the first image and brightness information and makeup information that are of a face, so that skin beautification processing can be purposefully performed on the face image comprehensively based on specific background information of the image, actual brightness distribution of the face, and actual makeup of the face.
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公开(公告)号:US11412132B2
公开(公告)日:2022-08-09
申请号:US17262742
申请日:2018-07-27
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Chao Qin , Yuanyou Li , Zhiping Jia
IPC: H04N5/232 , H04M1/72403 , G06F3/041 , H04N5/247
Abstract: Embodiments relate to the field of terminals and disclose a camera switching method for a terminal, and the terminal. In those embodiments, when the terminal is installed with a plurality of cameras, automatic and dynamic switching between the cameras may be implemented based on a to-be-photographed object, thereby improving a photographing effect of the to-be-photographed object. In those embodiment, the terminal may display, in response to a first operation of enabling a photographing function by a user, a first photographing picture captured by a first camera, where the first photographing picture includes a to-be-photographed object. If the to-be-photographed object cannot be displayed completely in the first photographing picture, the terminal may switch from the first photographing picture to a second photographing picture captured by the second camera, and disabling the first camera, where an FOV of the second camera is larger than an FOV of the first camera.
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公开(公告)号:US20210203836A1
公开(公告)日:2021-07-01
申请号:US17262742
申请日:2018-07-27
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Chao Qin , Yuanyou Li , Zhiping Jia
IPC: H04N5/232 , H04N5/247 , G06F3/041 , H04M1/72403
Abstract: Embodiments relate to the field of terminals and disclose a camera switching method for a terminal, and the terminal. In those embodiments, when the terminal is installed with a plurality of cameras, automatic and dynamic switching between the cameras may be implemented based on a to-be-photographed object, thereby improving a photographing effect of the to-be-photographed object. In those embodiment, the terminal may display, in response to a first operation of enabling a photographing function by a user, a first photographing picture captured by a first camera, where the first photographing picture includes a to-be-photographed object. If the to-be-photographed object cannot be displayed completely in the first photographing picture, the terminal may switch from the first photographing picture to a second photographing picture captured by the second camera, and disabling the first camera, where an FOV of the second camera is larger than an FOV of the first camera.
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公开(公告)号:US12003850B2
公开(公告)日:2024-06-04
申请号:US17427433
申请日:2019-01-31
Applicant: Huawei Technologies Co., Ltd.
Inventor: Shuailin Lv , Yunchao Zhang , Hongyu Li , Zhiping Jia
CPC classification number: H04N23/64 , G06T7/0002 , H04N5/772
Abstract: A method for selecting an image based on burst shooting is provided, which relates to the field of terminal technologies. The method includes: an electronic device displays a preview interface; detects a first operation used to start burst shooting; obtains N images; then performs scene recognition based on K images that meet an image quality screening condition, to determine a shooting scene; and finally determines M images based on the shooting scene, where N is greater than or equal to K, N is greater than or equal to M, N and K are positive integers greater than 1, and M is a positive integer greater than or equal to 1. This technical solution helps improve quality of an image obtained by the electronic device through screening, thereby improving user satisfaction with an image that is automatically obtained through screening during burst shooting by the electronic device.
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公开(公告)号:US11785329B2
公开(公告)日:2023-10-10
申请号:US18162761
申请日:2023-02-01
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Chao Qin , Yuanyou Li , Zhiping Jia
CPC classification number: H04N23/61 , G06F3/041 , H04M1/72403 , H04N23/631 , H04N23/64 , H04N23/69 , H04N23/90 , H04M2250/22 , H04M2250/52
Abstract: Embodiments relate to the field of terminals and disclose a camera switching method for a terminal, and the terminal. In those embodiments, when the terminal is installed with a plurality of cameras, automatic and dynamic switching between the cameras may be implemented based on a to-be-photographed object, thereby improving a photographing effect of the to-be-photographed object. In those embodiment, the terminal may display, in response to a first operation of enabling a photographing function by a user, a first photographing picture captured by a first camera, where the first photographing picture includes a to-be-photographed object. If the to-be-photographed object cannot be displayed completely in the first photographing picture, the terminal may switch from the first photographing picture to a second photographing picture captured by the second camera, and disabling the first camera, where an FOV of the second camera is larger than an FOV of the first camera.
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公开(公告)号:US11704771B2
公开(公告)日:2023-07-18
申请号:US16759870
申请日:2017-12-01
Applicant: Huawei Technologies Co., Ltd.
Inventor: Yunchao Zhang , Shuai Chen , Zhiping Jia , Lei Miao
CPC classification number: G06T3/4053 , G06T3/4046 , H04N23/69
Abstract: An image processing method and a device, where the image processing method is performed by a terminal having a digital zoom function, and the method includes determining a target zoom magnification based on a selection input of a user, collecting a to-be-processed image, and processing the to-be-processed image using a target super-resolution convolutional neural network model to obtain a processed image corresponding to the target zoom magnification, where the target super-resolution convolutional neural network model is obtained by training a super-resolution convolutional neural network model using a high-definition training image, a low-definition training image, and a mask image.
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