Packet Transmission Method, Apparatus, Device, and Computer-Readable Storage Medium

    公开(公告)号:US20230239249A1

    公开(公告)日:2023-07-27

    申请号:US18189937

    申请日:2023-03-24

    CPC classification number: H04L47/2425 H04L47/2483

    Abstract: This application discloses a packet transmission method, an apparatus, a device, and a computer-readable storage medium, and belongs to the field of communication technologies. For example, the method is applied to a first device. The method includes: The first device receives a first packet, where the first packet includes quality guarantee indication information and information about a first application, and the first packet belongs to the first application for which quality guarantee needs to be provided. The first device stores a correspondence between the information about the first application and the quality guarantee indication information based on the received first packet. After receiving a second packet including the information about the first application, the first device provides quality guarantee for the second packet based on the stored correspondence.

    Video quality assessment method and device

    公开(公告)号:US11374681B2

    公开(公告)日:2022-06-28

    申请号:US16664194

    申请日:2019-10-25

    Abstract: A video quality assessment method and device are provided. The video quality assessment method includes: obtaining a to-be-assessed video, where the to-be-assessed video includes a forward error correction (FEC) redundancy data packet; when a quantity of lost data packets of a first source block in the to-be-assessed video is less than or equal to a quantity of FEC redundancy data packets of the first source block, generating a first summary packet for a non-lost data packet of the first source block, and generating a second summary packet for a lost data packet of the first source block; and calculating a mean opinion score of video (MOSV) of the to-be-assessed video based on the first summary packet and the second summary packet. The MOSV calculated according to the method is more consistent with real video experience of a user, so accuracy of video quality assessment can be improved.

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