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    DIVIDING METHOD, DISTRIBUTION METHOD, MEDIUM, SERVER, SYSTEM
    23.
    发明申请
    DIVIDING METHOD, DISTRIBUTION METHOD, MEDIUM, SERVER, SYSTEM 有权

    公开(公告)号：US20220308821A1

    公开(公告)日：2022-09-29

    申请号：US17309612

    申请日：2020-05-29

    Applicant: BOE TECHNOLOGY GROUP CO., LTD

    Inventor： Peng LI ,  Wenjuan LI ,  Guangyu SHAO ,  Shuyi LI ,  Yang QIN ,  Hong Wang ,  Yiming LEI ,  Wangqiang HE

    IPC: G06F3/14 ,  G06T3/40

    Abstract: A video processing method applied to a splicing screen is provided, including: dividing each frame of an initial video into multiple sub-images; and forming sub-videos using all the sub-images, the initial video and each sub-video including M frames, M being an integer greater than 1, and durations of individual frames of the sub-videos being the same, wherein i-th frames of all sub-videos are spliced into an i-th frame of the initial video, and a relative position of the i-th frame of any sub-video in the i-th frame of the initial video is the same as a relative position of any other frame of the sub-video in a corresponding frame of the initial video, where i is a variable whose value is a natural number from 1 to M.A dividing task distribution method, a computer-readable storage medium, a scheduling server, an execution server and a video processing system are provided.

    IMAGE COMPENSATION METHOD AND APPARATUS
    29.
    发明申请
    IMAGE COMPENSATION METHOD AND APPARATUS 有权
    图像补偿方法和装置

    公开(公告)号：US20170032498A1

    公开(公告)日：2017-02-02

    申请号：US15135859

    申请日：2016-04-22

    Applicant: BOE Technology Group Co., Ltd.

    Inventor： Hong Wang ,  Chengqi Zhou ,  Shou Li ,  Jung Chul Gyu

    IPC: G06T5/00 ,  G06T7/20 ,  G06T7/00

    CPC classification number: G06T5/001 ,  G06T5/008 ,  G06T5/50 ,  G06T7/20 ,  G06T2207/10016

    Abstract: An image compensation method and apparatus is provided. The method may include: determining, as the second brightness value, a brightness value for which a SAD corresponding to the brightness value and the first brightness value is the minimum, in brightness parameters of a second image displayed at a second time; determining a membership degree corresponding to a target SAD; determining a motion compensation parameter corresponding to a first coordinate and a median frame interpolation parameter corresponding to the first coordinate; determining a brightness compensation parameter corresponding to the first coordinate based on the membership degree corresponding to the target SAD, the motion compensation parameter corresponding to the first coordinate and the median frame interpolation parameter corresponding to the first coordinate; performing an image compensation so as to display a compensated image at a time between the second time and the first time based on the brightness compensation parameter corresponding to the first coordinate.

    Abstract translation: 提供了一种图像补偿方法和装置。 该方法可以包括：在第二次显示的第二图像的亮度参数中，确定与亮度值和第一亮度值对应的SAD为最小的亮度值作为第二亮度值; 确定与目标SAD对应的隶属度; 确定对应于第一坐标的运动补偿参数和对应于第一坐标的中间帧插值参数; 基于与目标SAD对应的隶属度，确定与第一坐标对应的亮度补偿参数，对应于第一坐标的运动补偿参数和与第一坐标对应的中间帧插值参数; 执行图像补偿，以便基于与第一坐标对应的亮度补偿参数在第二时间和第一时间之间的时间显示补偿图像。

    Image annotation method, device and system
    30.
    发明授权
    Image annotation method, device and system 有权

    公开(公告)号：US12106465B2

    公开(公告)日：2024-10-01

    申请号：US17628364

    申请日：2021-03-26

    Applicant: BOE TECHNOLOGY GROUP CO., LTD.

    Inventor： Yaoping Wang ,  Meijuan Zhang ,  Yongzhang Liu ,  Zhaoyue Li ,  Dong Chai ,  Hong Wang

    IPC: G06T7/00 ,  G06T7/262

    CPC classification number: G06T7/0004 ,  G06T7/262 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30204

    Abstract: An image marking method, apparatus and system, which relates to the technical field of image processing. The present disclosure includes, when the working mode of the first client is a first mode, receiving a first marking task assigned by a second client, on the condition that the image marking approach is the first marking approach, according to a neural network model, determining a first marking result corresponding to the first original image; on the condition that the image marking approach is the second marking approach, according to an unsupervised algorithm model, determining a second marking result corresponding to the first original image; on the condition that the image marking approach is the third marking approach, receiving a third marking result inputted by a user into the first original image; and sending a target marking result to the second client.

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