公开(公告)号：US11281895B2

公开(公告)日：2022-03-22

申请号：US16916268

申请日：2020-06-30

Applicant: BOE Technology Group Co., Ltd.

Inventor： Guannan Chen ,  Yanhong Wu

IPC: G06K9/00 ,  G06T7/11 ,  G06K9/46 ,  G06T5/20

Abstract: The present disclosure provides an expression recognition method, a computer device, and a computer-readable storage medium. The expression recognition method includes: obtaining a facial image to be recognized; preprocessing the facial image to be recognized to obtain a preprocessed facial image; obtaining a first output image according to the preprocessed facial image, wherein the first output image at least represents a texture feature of the facial image to be recognized; obtaining a second output image according to the first output image, wherein the second output image at least represents a structural feature of organs of the facial image to be recognized; and determining an expression category corresponding to the facial image to be recognized, according to the second output image.

公开(公告)号：US20210133434A1

公开(公告)日：2021-05-06

申请号：US16639934

申请日：2019-10-10

Applicant: BOE Technology Group Co., Ltd.

Inventor： Guannan Chen ,  Honghong Jia ,  Lijie Zhang

IPC: G06K9/00 ,  G06K9/46 ,  G06N3/04 ,  G06K9/62 ,  G06N3/08

Abstract: A computer-implemented method of recognizing a facial expression of a subject in an input image is provided. The method includes filtering the input image to generate a plurality of filter response images; inputting the input image into a first neural network; processing the input image using the first neural network to generate a first prediction value; inputting the plurality of filter response images into a second neural network; processing the plurality of filter response images using the second neural network to generate a second prediction value; weighted averaging the first prediction value and the second prediction value to generate a weighted average prediction value; and generating an image classification result based on the weighted average prediction value.

公开(公告)号：US12211185B2

公开(公告)日：2025-01-28

申请号：US17434729

申请日：2020-11-27

Applicant: BOE Technology Group Co., Ltd.

Inventor： Dan Zhu ,  Guannan Chen ,  Ran Duan

IPC: G06T5/73 ,  G06N3/045 ,  G06N3/0464 ,  G06N3/08

Abstract: A computer-implemented image-processing method is provided. The computer-implemented image-processing method includes obtaining a pair of training samples including a training image having a first degree of sharpness and a reference image having a second degree of sharpness, the second degree greater than the first degree, at least portions of the training image and the reference image in a same pair having same contents; inputting the training image to the image-enhancing convolutional neural network to generate a training enhanced image; inputting the training enhanced image into an edge detector; generating, by the edge detector, a plurality of first edge maps; inputting the reference image into the edge detector; generating, by the edge detector, a plurality of second edge maps; and tuning parameters in the image-enhancing convolutional neural network to minimize at least the one or more first losses and a second loss.

公开(公告)号：US12190487B2

公开(公告)日：2025-01-07

申请号：US17635263

申请日：2021-04-30

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Guannan Chen ,  Mengdi Sun ,  Yan Gao ,  Lijie Zhang

IPC: G06T5/90 ,  G06T5/20 ,  G06V10/74

Abstract: An image processing method, an apparatus, an electronic device and a non-transient computer-readable storage medium. The image processing method includes: acquiring an original image; performing a fuzzy processing to the original image to obtain a fuzzy image; performing a high-dynamic-range image to the original image by using a first network model obtained by pre-training, to obtain a first characteristic matrix, wherein the first network model includes a dense residual module and a gate-control-channel conversion module; obtaining an auxiliary characteristic matrix of the original image according to the fuzzy image, wherein the auxiliary characteristic matrix includes detail information of the original image and/or low-frequency information of the original image; obtaining a target image according to the first characteristic matrix and the auxiliary characteristic matrix.

公开(公告)号：US20240378269A1

公开(公告)日：2024-11-14

申请号：US18270881

申请日：2022-08-24

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Hao Fang ,  Yanhong Wu ,  Guannan Chen

IPC: G06F21/16 ,  G06T1/00

Abstract: A method of processing encrypted image watermarking, an apparatus and a display device are provided, which relates to the field of digital watermarking. The method includes: obtaining a device code of a display device and current time information, where the device code uniquely identifies the display device; generating, according to a preset encryption algorithm by using the current time information and the device code, a digital security mark; and displaying the digital security mark in a preset display area of the display device. The technical solution of the present disclosure can prevent the screen from being photographed without permission.

公开(公告)号：US20240054622A1

公开(公告)日：2024-02-15

申请号：US17754192

申请日：2021-04-27

Applicant: BOE Technology Group Co., Ltd.

Inventor： Guannan Chen ,  Dan Zhu ,  Lijie Zhang

IPC: G06T5/00 ,  H04N1/60 ,  G06T7/90 ,  G06T9/00 ,  G06V10/44 ,  G06V10/56

CPC classification number: G06T5/007 ,  H04N1/6019 ,  G06T7/90 ,  G06T9/00 ,  G06V10/44 ,  G06V10/56 ,  G06T2207/10024 ,  G06T2207/20081 ,  G06T2207/20208

Abstract: The present disclosure provides an image processing method and an image processing apparatus. The image processing method includes: obtaining a to-be-converted SDR image; using a first convolutional network to perform feature analysis on the SDR image, to obtain N weights of the SDR image; where the N weights are respectively configured to characterize proportions of color information of the SDR image to color information characterized in preset N 3D lookup tables, the N 3D lookup tables are configured to characterize color information of different types; obtaining a first 3D lookup table for the SDR image according to the N weights and the N 3D lookup tables; using the first 3D lookup table to adjust the color information of the SDR image to obtain an HDR image; and using a second convolutional neural network to perform refinement correction on the HDR image to obtain an output image.

公开(公告)号：US11854248B2

公开(公告)日：2023-12-26

申请号：US17417127

申请日：2020-12-29

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Yanhong Wu ,  Guannan Chen ,  Lijie Zhang

IPC: G06V10/82 ,  G06V10/77 ,  G06V10/774 ,  G06V10/776 ,  G06V10/764 ,  G06N3/045

CPC classification number: G06V10/82 ,  G06N3/045 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776 ,  G06V10/7715

Abstract: The present disclosure provides an image classification method, apparatus, and device, and a readable storage medium. The image classification method includes: processing an image to be processed, by using a first convolutional network, to obtain a first feature map; processing the first feature map, by using a residual network, to obtain a second feature map, wherein the residual network includes a depth separable convolutional layer; and processing the second feature map, by using a second convolutional network, to determine a category label of the image to be processed.

公开(公告)号：US11587343B2

公开(公告)日：2023-02-21

申请号：US17044275

申请日：2020-04-20

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Lijie Zhang ,  Guannan Chen ,  Hanwen Liu ,  Dan Zhu

IPC: G06V30/244 ,  G06F40/109 ,  G06V30/32 ,  G06V30/28

Abstract: A method and a system for converting a font of a Chinese character in an image, a computer device and a medium are disclosed. A specific implementation of the method includes: acquiring a stroke of a to-be-converted Chinese character in the image and spatial distribution information of the stroke; and generating a Chinese character in a target font that corresponds to the to-be-converted Chinese character in the image according to the stroke of the to-be-converted Chinese character, the spatial distribution information of the stroke and standard stroke information of the target font, to replace the to-be-converted Chinese character.

公开(公告)号：US11113816B2

公开(公告)日：2021-09-07

申请号：US16651946

申请日：2019-09-19

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Guannan Chen ,  Lijie Zhang

IPC: G06K9/46 ,  G06T7/10 ,  G06N3/02

Abstract: The present disclosure provides an image segmentation apparatus, method and relevant computing device. The image segmentation apparatus comprises: a feature extractor configured to extract N image semantic features having different scales from an input image, where N is an integer not less than 3; and a feature processor comprising cascaded dense-refine networks and being configured to perform feature processing on the N image semantic features to obtain a binarized mask image for the input image. A dense-refine network is configured to generate a low-frequency semantic feature from semantic features input thereto by performing densely-connected convolution processing on the semantic features respectively to obtain respective image global features, performing feature fusion on the image global features to obtain a fused image global feature, and performing pooling processing on the fused image global feature to generate and output the low-frequency semantic feature. The semantic features are selected from a group consisting of the N image sematic features and low-frequency semantic features generated by dense-refine networks. The feature processor is configured to obtain the binarized mask image based on low-frequency semantic features generated by the dense-refine networks.

公开(公告)号：US20200034667A1

公开(公告)日：2020-01-30

申请号：US16399683

申请日：2019-04-30

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Guannan Chen

IPC: G06K9/62 ,  G06K9/72 ,  G06T5/50

Abstract: An image processing method, an image processing apparatus, and a computer storage medium are disclosed. The image processing method includes: acquiring a first still image; acquiring a first moving image comprising a plurality of image frames; performing segmentation on the first still image to obtain a first feature region in the first still image; acquiring a binary mask image of the first feature region; and performing image fusion on the first still image and the plurality of image frames based on the binary mask image to obtain a second moving image.