SOCIAL NETWORKING BASED ON ASSET ITEMS

    公开(公告)号:US20230100490A1

    公开(公告)日:2023-03-30

    申请号:US17491098

    申请日:2021-09-30

    Applicant: Lemon Inc.

    Abstract: The present disclosure describes techniques for social networking based on trading asset items. The techniques comprise sending a request by a first client computing device for connecting with a second client computing device, displaying a first video comprising a first user and a second video comprising a second user on an interface, determining a first body part of the first user based on a selection of a representative of a first asset item associated with the second user, determining a position of rendering an image of the first asset item on the interface, rendering the image of the first asset item and combining the image into the first video for display of an effect of the first asset item being tried on the first body part of the first user, and receiving the first asset item from the second user based on the effect and user input.

    Social networking based on asset items

    公开(公告)号:US11763496B2

    公开(公告)日:2023-09-19

    申请号:US17491098

    申请日:2021-09-30

    Applicant: Lemon Inc.

    Abstract: The present disclosure describes techniques for social networking based on trading asset items. The techniques comprise sending a request by a first client computing device for connecting with a second client computing device, displaying a first video comprising a first user and a second video comprising a second user on an interface, determining a first body part of the first user based on a selection of a representative of a first asset item associated with the second user, determining a position of rendering an image of the first asset item on the interface, rendering the image of the first asset item and combining the image into the first video for display of an effect of the first asset item being tried on the first body part of the first user, and receiving the first asset item from the second user based on the effect and user input.

    Processing method, terminal device, and medium

    公开(公告)号:US11706505B1

    公开(公告)日:2023-07-18

    申请号:US17816911

    申请日:2022-08-02

    Applicant: LEMON INC.

    CPC classification number: H04N21/8549

    Abstract: Provided are a processing method, a terminal device, and a medium. The method includes the steps described below. Basic information of a target video is determined; attribute information of the target video is determined based on the basic information; in a case where the attribute information indicates that the target video is a video capable of being structured, chapter division is performed on the target video based on the basic information to obtain at least two video clips; and chapter description information of the at least two video clips, a key frame of the at least two video clips and video description information of the target video are determined.

    SOCIAL NETWORKING BASED ON COLLECTING ASSET ITEMS

    公开(公告)号:US20230095640A1

    公开(公告)日:2023-03-30

    申请号:US17714920

    申请日:2022-04-06

    Applicant: Lemon Inc.

    Abstract: The present disclosure describes techniques for social networking based on collecting asset items. Features may be extracted from an image comprising an object and captured by a camera. The object may be associated with a location. The location may be determined based on information indicating a position where the camera is located. The object may be recognized based at least in part on the features extracted from the image. An asset item may be displayed in response to recognizing the object.

    SOCIAL NETWORKING BASED ON ASSET ITEMS

    公开(公告)号:US20230095137A1

    公开(公告)日:2023-03-30

    申请号:US17491008

    申请日:2021-09-30

    Applicant: Lemon Inc.

    Abstract: The present disclosure describes techniques for social networking based on collecting asset items. Features may be extracted from an image comprising an object. The object may be associated with a location. One or more pre-stored files may be determined based on the location. The one or more pre-stored files may each correspond to one or more objects proximate to the location. Each of the one or more pre-stored files may comprise data indicative of a corresponding object. The object may be recognized based on comparing the features extracted from the image with data comprised in the one or more pre-stored files. An asset item may be received in response to recognizing the object.

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