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    Performance Measurement Method and Apparatus, and System
    1.
    发明公开
    Performance Measurement Method and Apparatus, and System 审中-公开

    公开(公告)号：US20230269151A1

    公开(公告)日：2023-08-24

    申请号：US18309543

    申请日：2023-04-28

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Yali Wang ,  Tianran Zhou ,  Jingrong Xie

    IPC: H04L43/08 ,  H04L45/741

    CPC classification number: H04L43/08 ,  H04L45/741 ,  H04L12/4633

    Abstract: Embodiments of this application provide a performance measurement method and apparatus, and a system. In the method, a bit forwarding ingress router BFIR obtains a first packet, where the first packet includes an identifier of the BFIR, a bit string, and a first parameter that is used for performance measurement, the bit string is used to identify one or more bit forwarding egress routers BFERs, and the first packet is not used to transmit multicast data; and the BFIR sends the first packet to the one or more BFERs based on the bit string included in the first packet.

    Method for Determining Processing Capability, Node, and System
    2.
    发明申请
    Method for Determining Processing Capability, Node, and System 有权

    公开(公告)号：US20230086487A1

    公开(公告)日：2023-03-23

    申请号：US18072981

    申请日：2022-12-01

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Yali Wang ,  Jie Dong ,  Tianran Zhou

    IPC: H04L45/74 ,  H04L45/12

    Abstract: A method for determining a processing capability includes: a first node sends a message to a second node. The message includes extension header processing capability information, and the extension header processing capability information is used to indicate a processing capability of the first node for an Internet Protocol (IP) version 6 (IPv6) extension header. After receiving the message, the second node obtains, based on the extension header processing capability information, the processing capability of the first node for the IPv6 extension header to determine whether the first node needs to forward or receive a packet.

    Action Recognition Method and Apparatus
    5.
    发明申请
    Action Recognition Method and Apparatus 有权

    公开(公告)号：US20220391645A1

    公开(公告)日：2022-12-08

    申请号：US17846533

    申请日：2022-06-22

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Yu Qiao ,  Lei Zhou ,  Yali Wang ,  Lihui Jiang ,  Jianzhuang Liu

    IPC: G06K9/62 ,  G06V10/40 ,  G06V20/40 ,  G06V10/62 ,  G06V10/72 ,  G06V10/77 ,  G06V10/74

    Abstract: An action recognition method and apparatus related to artificial intelligence and include extracting a spatial feature of a to-be-processed picture, determining a virtual optical flow feature of the to-be-processed picture based on the spatial feature and X spatial features and X optical flow features in a preset feature library, where the X spatial features and the X optical flow features include a one-to-one correspondence, determining a first type of confidence of the to-be-processed picture in different action categories based on similarities between the virtual optical flow feature and Y optical flow features, where each of the Y optical flow features in the preset feature library corresponds to one action category, X and Y are both integers greater than 1, and determining an action category of the to-be-processed picture based on the first type of confidence.

    Image processing method and apparatus
    6.
    发明授权
    Image processing method and apparatus 有权

    公开(公告)号：US10560644B2

    公开(公告)日：2020-02-11

    申请号：US15511583

    申请日：2014-09-16

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Fangyong Ge ,  Yali Wang

    IPC: H04N5/33 ,  H04N5/232 ,  H04N9/73 ,  G06T5/50 ,  H04N5/235

    Abstract: An image processing method, including: obtaining image data of a photographed original image, and obtaining ambient infrared intensity I that is used when the original image is photographed; obtaining infrared image data corresponding to I according to a preset correspondence between tested infrared intensity and infrared image data; obtaining corrected image data according to the image data of the original image and the infrared image data corresponding to I; and obtaining a corresponding corrected image according to the corrected image data, and outputting the corrected image.

    Data processing method and terminal device
    7.
    发明授权
    Data processing method and terminal device 有权

    公开(公告)号：US10015306B2

    公开(公告)日：2018-07-03

    申请号：US15505149

    申请日：2014-08-20

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Yali Wang ,  Min Zhang ,  Xuesong Yu ,  Xiaomei Yang

    IPC: H04M1/725 ,  H04W4/04 ,  H04W76/02 ,  H04W4/00 ,  H04W76/10 ,  H04W4/80

    Abstract: A data processing method and a terminal device, where the method includes obtaining a speed of the terminal device, receiving a first communications service, disabling a preset reminder of the first communications service when the speed of the terminal device exceeds a first preset value, and enabling the preset reminder of the first communications service when the speed of the terminal device decreases to a second preset value, where the second preset value is less than or equal to the first preset value. The data processing method and the terminal device are used for a user reminder of a terminal device in a vehicle mode.

    Data Stream Classification Method and Related Device
    9.
    发明申请
    Data Stream Classification Method and Related Device 有权

    公开(公告)号：US20220210082A1

    公开(公告)日：2022-06-30

    申请号：US17695491

    申请日：2022-03-15

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Jun Wu ,  Xinyu Hu ,  Yali Wang ,  Xiaoyun Si

    IPC: H04L47/2441 ,  H04L69/22 ,  H04L47/20

    Abstract: A data stream classification method includes obtaining, based on a packet feature of a current data stream and a behavior classification model, at least one first confidence that is of the current data stream and that corresponds to at least one data stream class, where the behavior classification model is based on a plurality of data stream samples; obtaining, based on feature information of the current data stream and a content classification model, at least one second confidence that is of the current data stream and that corresponds to the at least one data stream class, where the content classification model is based on one or more historical data streams; and determining a data stream class of the current data stream based on the at least one first confidence and the at least one second confidence.

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