INTEGRATING MEETING DATA BETWEEN AN IM APPLICATION AND A CONFERENCING APPLICATION

    公开(公告)号:US20240089137A1

    公开(公告)日:2024-03-14

    申请号:US18517988

    申请日:2023-11-22

    CPC classification number: H04L12/1827 H04L12/1818 H04L12/1822

    Abstract: A conference data processing method includes acquiring a first meeting list of meetings created by a user, meetings in the first meeting list having been created by the user through an instant messaging (IM) client. The IM client includes an interface for calling a software development kit (SDK) of a separate conference application implementing at least one of audio or video conferencing. The method further includes requesting, through a fusion server, a server of the conference application to create a second meeting list according to the first meeting list, and receiving, through the fusion server, the second meeting list transmitted by the server of the conference application. The second meeting list includes meetings that correspond respectively to the meetings in the first meeting list. The method further includes establishing an association relationship between a meeting in the first meeting list and a meeting in the second meeting list.

    FACE ANTI-SPOOFING RECOGNITION METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20220277596A1

    公开(公告)日:2022-09-01

    申请号:US17746547

    申请日:2022-05-17

    Abstract: This application discloses a face anti-spoofing recognition method and apparatus, a device, and a storage medium, and relates to the field of artificial intelligence (AI) technologies. The method is performed by a computer device, including: acquiring face video data including a to-be-detected face; detecting eye contours of the to-be-detected face from image frames of the face video data, and generating an eye contour sequence; performing eye movement probability prediction based on the eye contour sequence, and generating an eye movement state sequence; acquiring a first dataset and a second dataset in the eye movement state sequence; determining a probability of existence of an abnormal blink behavior of the to-be-detected face according to the first dataset and the second dataset; and determining that the to-be-detected face is a real face in a case that the probability is less than a predetermined threshold.

    METHOD AND APPARATUS FOR OCCLUSION DETECTION ON TARGET OBJECT, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20200034657A1

    公开(公告)日:2020-01-30

    申请号:US16545017

    申请日:2019-08-20

    Inventor: Cheng YI Bin LI

    Abstract: A method for occlusion detection on a target object is provided. The method includes: determining, based on a pixel value of each pixel in a target image, first positions of a first feature and second positions of a second feature in the target image. The first feature is an outer contour feature of a target object in the target image, the second feature is a feature of an interfering subobject in the target object. The method also includes: determining, based on the first positions, an image region including the target object; dividing, based on the second positions, the image region into at least two detection regions; and determining, according to a pixel value of a target detection region, whether the target detection region meets a preset unoccluded condition, to determine whether the target object is occluded. The target detection region is any one of the at least two detection regions.

    FACIAL ANIMATION IMPLEMENTATION METHOD, COMPUTER DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20190333262A1

    公开(公告)日:2019-10-31

    申请号:US16509305

    申请日:2019-07-11

    Abstract: This application provides a facial animation implementation method performed at a computing device. The method includes: capturing a facial image; extracting facial feature points in the facial image; comparing the facial feature points with standard feature points, to obtain a first deformation coefficient corresponding to a geometrical feature; extracting a local region according to the facial feature points for processing, to obtain a second deformation coefficient corresponding to an appearance feature; and driving a three-dimensional virtual object according to the first deformation coefficient and the second deformation coefficient to perform a corresponding expression.

    CONTACT MANAGEMENT METHOD, APPARATUS AND SYSTEM FOR THIRD-PARTY APPLICATION
    6.
    发明申请
    CONTACT MANAGEMENT METHOD, APPARATUS AND SYSTEM FOR THIRD-PARTY APPLICATION 审中-公开
    联系管理方法,第三方应用的装置和系统

    公开(公告)号:US20140359286A1

    公开(公告)日:2014-12-04

    申请号:US14263617

    申请日:2014-04-28

    CPC classification number: G06F21/6245 G06F16/275 H04L67/20

    Abstract: A contact management method, apparatus and system for a third-party application are described. The contact management method includes: detecting an instruction to obtain a contact, wherein the instruction is input by a user operating the third-patty application; reading contact data in an address book in responsive to the instruction to obtain the contact; encrypting the contact data and obtaining an encrypted contact data; importing the encrypted contact data into a contact data table of the third-party application; and uploading the encrypted contact data in the contact data table to a cloud server, so that a mapping relationship between account information of the user and the encrypted contact data is established at the cloud server, wherein the account information of the user is used for logging in the third-party application. In the method, the apparatus and the system, safety and reliability of the contact data can be improved.

    Abstract translation: 描述了用于第三方应用的联系人管理方法,装置和系统。 所述联系人管理方法包括:检测获取联系人的指令,其中所述指令由操作所述第三方应用程序的用户输入; 响应于指令获取联系人,读取地址簿中的联系人数据; 加密联系人数据并获得加密的联系人数据; 将加密的联系人数据导入到第三方应用的联系人数据表中; 并将联系人数据表中的加密的联系人数据上传到云服务器,从而在云服务器上建立用户帐户信息与加密的联系人数据之间的映射关系,其中用户的帐户信息用于记录 在第三方申请。 在该方法中,可以提高装置和系统的接触数据的安全性和可靠性。

    CONFERENCE CREATION METHOD AND APPARATUS, DEVICE, STORAGE MEDIUM, AND PROGRAM PRODUCT

    公开(公告)号:US20240098124A1

    公开(公告)日:2024-03-21

    申请号:US18520311

    申请日:2023-11-27

    CPC classification number: H04L65/403 H04L51/10

    Abstract: This application disclose a conference creation method performed by a computer device. The method includes: displaying a group conversation page of a group in a first message application, the group conversation page comprising a conference initiation control; in response to a triggering operation for the conference initiation control, creating a target conference corresponding to a conference application and transmitting conference invitation information to a conference member of the target conference, the conference member of the target conference comprising at least one first member of the first message application; and when an acquired response state of the conference member in the target conference for the conference invitation information is a preset state and an association relationship between the response conference member and the at least first member of the first message application satisfies a preset relationship condition, allowing the response conference member to join the target conference.

    HOWLING SUPPRESSION METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20230046518A1

    公开(公告)日:2023-02-16

    申请号:US17977380

    申请日:2022-10-31

    Inventor: Yi GAO Cheng LUO Bin LI

    Abstract: This application relates to a howling suppression method and apparatus, a computer device, and a storage medium. The method includes obtaining a current audio signal corresponding to a current time period, and performing frequency domain transformation on the current audio signal; dividing the frequency domain audio signal and determining a target subband; obtaining a current howling detection result and a current voice detection result that correspond to the current audio signal, and determining a subband gain coefficient; obtaining a past subband gain corresponding to an audio signal within a past time period, and calculating a current subband gain corresponding to the current audio signal based on the subband gain coefficient and the past subband gain; and suppressing howling on the target subband based on the current subband gain, to obtain a first target audio signal corresponding to the current time period.

    FACE DETECTION METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20210271935A1

    公开(公告)日:2021-09-02

    申请号:US17320196

    申请日:2021-05-13

    Abstract: A face detection method for a computer device includes: obtaining a to-be-detected image; obtaining an initial shape of a current regression tree in a pre-constructed probability regression model; extracting image features from the to-be-detected image and respectively calculating a probability of each of leaf nodes of the current regression tree according to the image features; extracting an error of each of the leaf nodes; determining a shape error of the current regression tree according to the probability and the error of each of the leaf nodes; calculating an estimated shape of the current regression tree according to the initial shape and the shape error; and performing iterative calculation by using the estimated shape as an initial shape of a neighboring next regression tree until a last regression tree in the probability regression model, to obtain an estimated shape of the last regression tree as a detected face shape.

    FACE DETECTION METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20190392264A1

    公开(公告)日:2019-12-26

    申请号:US16521089

    申请日:2019-07-24

    Abstract: A face detection method for a computer device includes: obtaining a to-be-detected image; obtaining an initial shape of a current regression tree in a pre-constructed probability regression model; extracting image features from the to-be-detected image and respectively calculating a probability of each of leaf nodes of the current regression tree according to the image features; extracting an error of each of the leaf nodes; determining a shape error of the current regression tree according to the probability and the error of each of the leaf nodes; calculating an estimated shape of the current regression tree according to the initial shape and the shape error; and performing iterative calculation by using the estimated shape as an initial shape of a neighboring next regression tree until a last regression tree in the probability regression model, to obtain an estimated shape of the last regression tree as a detected face shape.

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