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公开(公告)号：US09824428B2
公开(公告)日：2017-11-21
申请号：US14891943
申请日：2015-05-18
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Lijie Zhang , Naifu Wu
CPC classification number: G06T5/006 , G06K9/00248 , G06K9/00281 , G06K9/00288 , G06K9/0061 , G06K9/036 , G06K9/6202 , G06K9/6277 , G06T2207/30201 , H04N7/144 , H04N7/147 , H04N7/15
Abstract: The present invention provides an image correction method, an image correction apparatus and a video system. The image correction method comprises: obtaining an actual face image; obtaining a target sample image matching with the actual face image; and correcting each eye area of the actual face image according to the target sample image such that orientation of each eye area of the corrected actual face image coincides with orientation of a corresponding eye area of the target sample image. The present invention may enable pupil portions of eye areas in a received face image to look toward a camera, thereby realizing an equal communication and improving sensory experience.
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52.发明申请公开(公告)号：US20170049390A1
公开(公告)日：2017-02-23
申请号：US15155716
申请日：2016-05-16
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Lijie Zhang , Zhenglong Li
CPC classification number: A61B5/4872 , A61B5/0537 , A61B5/7275 , A61B8/0858 , A61B8/5223 , G16H20/30 , G16H20/60 , G16H50/30
Abstract: A body parameter detecting device includes: a detection module and a determination module. The detection module is configured to detect fat thickness and fat density of sites to be detected of a human body. The determination module is configured to determine body parameters at least based on the fat thickness and the fat density. This device has simple operations for detection steps and low price, and is suitable for common people users. Also, a body parameter detecting method is provided.
Abstract translation: 身体参数检测装置包括：检测模块和确定模块。 检测模块被配置为检测要检测的人体的位置的脂肪厚度和脂肪密度。 确定模块被配置为至少基于脂肪厚度和脂肪密度来确定身体参数。 该设备检测步骤操作简单，价格低廉，适合普通用户使用。 另外，提供了身体参数检测方法。
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公开(公告)号：US12236556B2
公开(公告)日：2025-02-25
申请号：US17762199
申请日：2021-04-19
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Lijie Zhang , Dan Zhu
IPC: G06T3/4053 , G06T5/20 , G06V10/82
Abstract: Provided are a method for enhancing a video resolution enhancement, a computer readable storage medium, and an electronic device. The method includes: obtaining multiple image frames as input data, and obtaining initial data by performing feature extraction on the input data using a first three-dimensional convolutional layer; obtaining first feature data by performing down-sampling on the initial data at a preset multiple; obtaining first reference data by performing a convolution operation on the first feature data using a second three-dimensional convolutional layer to merge the first feature data as one frame; and obtaining first output data by performing up-sampling on the first reference data at the preset multiple.
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公开(公告)号：US12175632B2
公开(公告)日：2024-12-24
申请号：US17430840
申请日：2020-09-30
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Yan Gao , Guannan Chen , Lijie Zhang , Wenbin Chen
IPC: G06T5/50 , G06T3/4046 , G06T3/4053 , G06V10/40 , G06V10/44 , G06V10/774 , G06V10/776 , G06V10/80 , G06V10/82 , H04N7/015 , H04N19/42
Abstract: An image processing method and apparatus, a device, a video processing method and a storage medium are provided. The image processing method includes: receiving an input image; and processing the input image by using the convolutional neural network to obtain an output image. A definition of the output image is higher than a definition of the input image. Processing the input image by using the convolutional neural network to obtain the output image includes: performing feature extraction on the input image; concatenating the input image and the plurality of first images; performing the feature extraction on the first image group; fusing the plurality of second images and the plurality of first images; concatenating the input image and the plurality of third images to obtain a second image group; and performing the feature extraction on the second image group to obtain the output image.
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公开(公告)号：US11900563B2
公开(公告)日：2024-02-13
申请号：US17261541
申请日：2020-04-01
Applicant: BOE Technology Group Co., Ltd.
Inventor： Guannan Chen , Jingru Wang , Lijie Zhang , Fengshuo Hu
CPC classification number: G06T3/4053 , G06N3/08 , G06T3/4046
Abstract: A computer-implemented method is provided. The computer-implemented method includes inputting a low-resolution image into a generator; and generating a high-resolution image using the generator based on the low-resolution image. Generating the high-resolution image includes processing the low-resolution image through a plurality of super-resolution generating units arranged in series in the generator. A respective output from a respective one of the plurality of super-resolution generating units has a respective increased image resolution as compared to a respective input to the respective one of the plurality of super-resolution generating units.
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Patent Agency Ranking
公开(公告)号：US11842267B2
公开(公告)日：2023-12-12
申请号：US16492873
申请日：2019-03-22
Applicant: BOE Technology Group Co., Ltd.
Inventor： Hanwen Liu , Pablo Navarrete Michelini , Lijie Zhang , Dan Zhu
IPC: G06N3/08 , G06T3/40 , G06F18/211 , G06F18/213
CPC classification number: G06N3/08 , G06F18/211 , G06F18/213 , G06T3/4007 , G06T3/4046
Abstract: A computer-implemented method using a convolutional neural network is provided. The computer-implemented method using a convolutional neural network includes processing an input image through at least one channel of the convolutional neural network to generate an output image including content features of the input image morphed with style features of a reference style image. The at least one channel includes a down-sampling segment, a densely connected segment, and an up-sampling segment sequentially connected together. Processing the input image through the at least one channel of the convolutional neural network includes processing an input signal through the down-sampling segment to generate a down-sampling segment output; processing the down-sampling segment output through the densely connected segment to generate a densely connected segment output; and processing the densely connected segment output through the up-sampling segment to generate an up-sampling segment output. The input signal includes a component of the input image.
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公开(公告)号：US11763762B2
公开(公告)日：2023-09-19
申请号：US17417468
申请日：2020-12-30
Applicant: BOE Technology Group Co., Ltd.
Inventor： Hanwen Liu , Yanhong Wu , Lijie Zhang
IPC: G09G3/34
CPC classification number: G09G3/344 , G09G2340/06
Abstract: The present disclosure provides an image processing method, an image processing device, and a display device. The image processing method includes: acquiring image data including display data of all of pixels of an image; and performing, on the display data of each of the pixels, operations of: determining Euclidean distances from the display data of the pixel to the display data of a first pure color, the display data of a second pure color, and the display data of a third pure color in a set color space; and replacing the display data of the pixel with one of the display data of the first pure color, the display data of the second pure color and the display data of the third pure color according to the determined Euclidean distances and a preset rule.
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公开(公告)号：US20220108425A1
公开(公告)日：2022-04-07
申请号：US17261541
申请日：2020-04-01
Applicant: BOE Technology Group Co., Ltd.
Inventor： Guannan Chen , Jingru Wang , Lijie Zhang , Fengshuo Hu
Abstract: A computer-implemented method is provided. The computer-implemented method includes inputting a low-resolution image into a generator, and generating a high-resolution image using the generator based on the low-resolution image. Generating the high-resolution image includes processing the low-resolution image through a plurality of super-resolution generating units arranged in series in the generator. A respective output from a respective one of the plurality of super-resolution generating units has a respective increased image resolution as compared to a respective input to the respective one of the plurality of super-resolution generating units.
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公开(公告)号：US11227364B2
公开(公告)日：2022-01-18
申请号：US16613073
申请日：2019-05-17
Applicant: BOE Technology Group Co., Ltd.
Inventor： Dan Zhu , Pablo Navarrete Michelini , Lijie Zhang , Hanwen Liu
Abstract: A computer-implemented method using a convolutional neural network is provided. The computer-implemented method includes processing an input image through the convolutional neural network to generate an output image including content features of the input image morphed with style features of a style image. The convolutional neural network includes a feature extraction sub-network, a morpher, and a decoder sub-network. Processing the input image through convolutional neural network includes extracting style features of the style image to generate a plurality of style feature maps using the feature extraction sub-network; extracting content features of the input image to generate a plurality of content feature maps using the feature extraction sub-network; morphing the plurality of content feature maps respectively with the plurality of style feature maps to generate a plurality of output feature maps using the morpher; and reconstructing the plurality of output feature maps through the decoder sub-network to generate the output image.
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公开(公告)号：US20210358082A1
公开(公告)日：2021-11-18
申请号：US16613073
申请日：2019-05-17
Applicant: BOE Technology Group Co., Ltd.
Inventor： Dan Zhu , Pablo Navarrete Michelini , Lijie Zhang , Hanwen Liu
Abstract: A computer-implemented method using a convolutional neural network is provided. The computer-implemented method includes processing an input image through the convolutional neural network to generate an output image including content features of the input image morphed with style features of a style image. The convolutional neural network includes a feature extraction sub-network, a morpher, and a decoder sub-network. Processing the input image through convolutional neural network includes extracting style features of the style image to generate a plurality of style feature maps using the feature extraction sub-network; extracting content features of the input image to generate a plurality of content feature maps using the feature extraction sub-network; morphing the plurality of content feature maps respectively with the plurality of style feature maps to generate a plurality of output feature maps using the morpher; and reconstructing the plurality of output feature maps through the decoder sub-network to generate the output image.
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