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公开(公告)号：US20240193734A1
公开(公告)日：2024-06-13
申请号：US17794837
申请日：2021-09-23
Applicant: BOE Technology Group Co., Ltd.
Inventor： Yanhong WU , Guannan CHEN , Dan ZHU
IPC: G06T5/20 , G06T3/4053 , G06T7/00 , G06T11/00
CPC classification number: G06T5/20 , G06T3/4053 , G06T7/0002 , G06T11/001 , G06T2207/10024 , G06T2207/20004 , G06T2207/30168 , G06T2210/32
Abstract: Disclosed are a display device system and a method for adaptively enhancing an image quality. The method includes: acquiring an original image, performing iterative detail enhancement processing on the original image by utilizing at least one filter function containing iteratively-updated filter parameters, in a case that a difference between a quality evaluation score of the input image and a quality evaluation score of the detail-enhanced image of the ith iteration satisfies an iteration condition, obtaining filter parameters of an (i+1)th iteration by updating the filter parameters of the ith iteration, and continuing to perform detail enhancement processing on the input image by utilizing at least one filter function containing the filter parameters of the (i+1)th iteration, until a difference between the quality evaluation score of the input image and a quality evaluation score of a detail-enhanced image of the (i+1)th iteration satisfies the iteration condition.
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2.发明申请公开(公告)号：US20210407041A1
公开(公告)日：2021-12-30
申请号：US17281291
申请日：2020-05-28
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Hanwen LIU , Pablo NAVARRETE MICHELINI , Dan ZHU , Lijie ZHANG
Abstract: Disclosed are an image processing method and device, a training method of a neural network and a storage medium. The image processing method includes: obtaining an input image, and processing the input image by using a generative network to generate an output image. The generative network includes a first sub-network and at least one second sub-network, and the processing the input image by using the generative network to generate the output image includes, processing the input image by using the first sub-network to obtain a plurality of first feature images; performing a branching process and a weight sharing process on the plurality of first feature images by using the at least one second sub-network to obtain a plurality of second feature images; and processing the plurality of second feature images to obtain the output image.
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3.发明公开公开(公告)号：US20240320863A1
公开(公告)日：2024-09-26
申请号：US18694559
申请日：2021-12-16
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Dan ZHU , Guannan CHEN
CPC classification number: G06T7/90 , G06T3/40 , G06T2207/10024 , G06T2207/20081
Abstract: A model training method and apparatus for image processing are disclosed. The method includes: obtaining a picture training sample, and obtaining a ground truth picture corresponding to the picture training sample; inputting the picture training sample into a three-dimensional color look-up model to obtain a model predicted picture, and performing loss calculation on the model predicted picture and the ground truth picture to obtain a loss calculation result; and adjusting the three-dimensional color look-up model according to the loss calculation result to obtain a target image processing model. The target image processing model is configured to perform image processing on an image to be processed to obtain an image processing result corresponding to the image to be processed.
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公开(公告)号：US20240064353A1
公开(公告)日：2024-02-22
申请号：US17761526
申请日：2021-04-27
Applicant: BOE Technology Group Co., Ltd.
Inventor： Dan ZHU , Bingchuan SHI , Xingchen LIU
IPC: H04N21/24 , H04N21/234 , H04N21/81
CPC classification number: H04N21/2407 , H04N21/23418 , H04N21/812
Abstract: The present disclosure discloses a media monitoring method, apparatus and system. The method includes: obtaining image information of a program verification region in a display frame of a currently monitored display screen, wherein the program verification region is configured to display verification information corresponding to a current program that should be broadcast on the display screen; identifying the image information to determine actual display information representing a current actually-broadcast program; and performing verification on the actual display information according to the verification information, and determining that the display screen broadcasts normally if the verification is passed, or determining that the display screen does not broadcast normally if the verification is failed.
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公开(公告)号：US20240046699A1
公开(公告)日：2024-02-08
申请号：US17761021
申请日：2021-04-20
Applicant: BOE Technology Group Co., Ltd.
Inventor： Dan ZHU , Xingchen LIU
CPC classification number: G06V40/20 , G06V20/53 , G06F3/012 , G06V40/161 , G06T7/70
Abstract: The present disclosure discloses a method, apparatus and system for customer group analysis, and a storage medium. The method includes: obtaining video images of a customer group passing by a display apparatus; recognizing and tracking head images of the customer group in the video images, and determining behavior characteristics of individuals in the customer group; and performing statistical analysis on the behavior characteristics of the customer group corresponding to the display apparatus, so as to update a quantity of individuals corresponding to each behavior characteristic.
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Patent Agency Ranking
公开(公告)号：US20220319155A1
公开(公告)日：2022-10-06
申请号：US17419726
申请日：2020-12-29
Applicant: BOE Technology Group Co., Ltd.
Inventor： Yunhua LU , Hanwen LIU , Pablo NAVARRETE MICHELINI , Lijie ZHANG , Dan ZHU
Abstract: A method for processing an image is provided, including: acquiring an input image; performing down-sampling and feature extraction on the input image by an encoder network to obtain multiple feature maps; and performing up-sampling and feature extraction on the multiple feature maps by a decoder network to obtain a target segmentation image; processing levels between the encoder network and the decoder network for outputting feature maps with the same resolution are connected with each other, and the encoder network and the decoder network each includes one or more dense calculation blocks, and at least one convolution module in any dense computation block includes at least one group of asymmetric convolution kernels.
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公开(公告)号：US20250037255A1
公开(公告)日：2025-01-30
申请号：US18282589
申请日：2022-10-28
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Abstract: The present disclosure provides a defective-spot detection model training method, a defective-spot detection method and a defective-spot restoration method. The defective-spot detection model training method includes: obtaining a first training data set and a second training data set; generating a transparent layer based on a resolution of the sample detection image; replacing an image in a certain region of the transparent layer based on at least one of the plurality of frames of sample defective-spot images to generate a frame of transparent mask; generating a sample training image with a defective-spot based on the frame of transparent mask and the sample detection image; and processing the sample detection image by using the at least one of the plurality of frames of sample defective-spot images to generate a frame of sample training image.
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公开(公告)号：US20250030823A1
公开(公告)日：2025-01-23
申请号：US18281573
申请日：2022-10-21
Applicant: BOE Technology Group Co., Ltd.
Inventor： Feng HOU , Dan ZHU , Guannan CHEN , Yanhong WU
Abstract: Provided is a method for processing a video. The method for processing the video can segment an initial video into a plurality of video clips, and calculate color temperatures of the plurality of video clips. For each target video clip in the plurality of video clips, the method can determine a color temperature adjustment coefficient of the target video clip based on a color temperature of the target video clip and a color balance correction coefficient thereof, and adjust a color temperature of at least one video frame in the target video clip by using the color temperature adjustment coefficient.
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9.发明公开公开(公告)号：US20240251056A1
公开(公告)日：2024-07-25
申请号：US18560891
申请日：2023-02-23
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Mengdi SUN , Dan ZHU
IPC: H04N7/01
CPC classification number: H04N7/0135 , H04N7/0127
Abstract: A method and an apparatus for video frame interpolation processing, and a non-instantaneous readable storage medium. The method for video frame interpolation processing, including: acquiring the first video frame and the second video frame of the video; acquiring the first comparison result between the first video frame and the second video frame based on the first video frame and the second video frame; and determining whether to interpolate a frame between the first video frame and the second video frame based on the first comparison result. The first video frame and the second video frame are adjacent temporally, and the first video frame is a forward frame of the second video frame. The first comparison result indicates whether a picture switch exists between the first video frame and the second video frame.
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公开(公告)号：US20240233074A9
公开(公告)日：2024-07-11
申请号：US18396866
申请日：2023-12-27
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Pablo NAVARRETE MICHELINI , Wenbin CHEN , Hanwen LIU , Dan ZHU
IPC: G06T3/4046 , G06N3/08 , G06T3/4053 , G06T5/50
CPC classification number: G06T3/4046 , G06N3/08 , G06T3/4053 , G06T5/50
Abstract: An image processing method, an image processing device, a training method of a neural network, an image processing method based on a combined neural network model, a constructing method of a combined neural network model, a neural network processor, and a storage medium are provided. The image processing method includes: obtaining, based on an input image, initial feature images of N stages with resolutions from high to low, N is a positive integer and N>2; performing, based on initial feature images of second to N-th stages, cyclic scaling processing on an initial feature image of a first stage, to obtain an intermediate feature image; and performing merging processing on the intermediate feature image to obtain an output image. The cyclic scaling processing includes hierarchically-nested scaling processing of N−1 stages, and scaling processing of each stage includes down-sampling processing, concatenating processing, up-sampling processing, and residual link addition processing.
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