COMMUNICATION METHOD FOR TERMINAL DEVICE AND NETWORK SIDE DEVICE, AND TERMINAL DEVICE

    公开(公告)号:US20230300689A1

    公开(公告)日:2023-09-21

    申请号:US18005714

    申请日:2021-07-15

    CPC classification number: H04W36/0058 H04W36/00835 H04W36/326

    Abstract: This application provides communication methods for a terminal device and a network side device. In an example method, a terminal device establishes a primary communication link with a network side device. The terminal device detects one or more other terminal devices, determines, from the one or more other terminal devices, one or more terminal devices as one or more coordinated communication devices, and notifies the network side device of information indicating that a coordinated communication device is used for coordinated communication. The terminal device establishes a device-to-device (D2D)-based virtual multiple-input-multiple-output (MIMO) communication connection with the coordinated communication device, to form, between the terminal device and the network side device, a coordinated communication link relayed by the coordinated communication device. The terminal device performs parallel communication with the network side device based on the primary communication link and the coordinated communication link, or performs communication based on the coordinated communication link.

    IMAGE DETECTION METHOD AND APPARATUS, AND ELECTRONIC DEVICE

    公开(公告)号:US20230245441A9

    公开(公告)日:2023-08-03

    申请号:US17778469

    申请日:2020-11-13

    CPC classification number: G06V10/98 G06V10/60 G06V10/25

    Abstract: The technology of this application relates to an artificial intelligence terminal-based image detection method and apparatus, and an electronic device. The method includes obtaining a to-be-detected image, determining a light source region of the to-be-detected image and a foreground region of the to-be-detected image, and determining a blurring degree of the to-be-detected image based on the light source region and the foreground region. Impact of a light source on clarity of the to-be-detected image is determined by performing light source region detection and foreground region detection on the to-be-detected image, to effectively detect whether an image shot in a backlight condition is blurred.

    CODEC NEGOTIATION AND SWITCHING METHOD
    4.
    发明公开

    公开(公告)号:US20240045643A1

    公开(公告)日:2024-02-08

    申请号:US18489217

    申请日:2023-10-18

    CPC classification number: G06F3/162 G10L19/032

    Abstract: A codec negotiation and switching method and system, an electronic device, a computer-readable storage medium, and a computer program product are disclosed. The system includes an electronic device (100) and an audio play device (200). Before transmitting audio data, the electronic device (100) and the audio play device (200) categorize codecs into a plurality of categories, and determine a common codec category, for example, a first category and a second category, supported by the electronic device (100) and the audio play device (200). The electronic device (100) transmits the audio data to the audio play device (200) based on a codec of the first category. When the codec needs to be switched, the electronic device (100) does not need to renegotiate with the audio play device (200) on a codec type, but directly transmits the audio data based on a codec of the second category. In the method, a problem that audio data is interrupted and stalling occurs during codec switching performed by the electronic device and the audio play device is resolved, and user experience is improved.

    IMAGE DETECTION METHOD AND APPARATUS, AND ELECTRONIC DEVICE

    公开(公告)号:US20230005254A1

    公开(公告)日:2023-01-05

    申请号:US17778469

    申请日:2020-11-13

    Abstract: The technology of this application relates to an artificial intelligence terminal-based image detection method and apparatus, and an electronic device. The method includes obtaining a to-be-detected image, determining a light source region of the to-be-detected image and a foreground region of the to-be-detected image, and determining a blurring degree of the to-be-detected image based on the light source region and the foreground region. Impact of a light source on clarity of the to-be-detected image is determined by performing light source region detection and foreground region detection on the to-be-detected image, to effectively detect whether an image shot in a backlight condition is blurred.

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