Video quality assessment method and apparatus

    公开(公告)号:US11070794B2

    公开(公告)日:2021-07-20

    申请号:US16689742

    申请日:2019-11-20

    Abstract: In a video quality assessment method, an assessment model is first generated based on a subjective assessment result of a user on each sample in a sample set and based on a parameter set (a parameter type in the parameter set may include at least one of a packet loss rate, a delay, and a jitter) of each sample. Therefore, when video quality is being assessed, a parameter set of a to-be-assessed video is obtained first, where the parameter set of the to-be-assessed video has a same parameter type as the parameter set of each sample that is used to generate the assessment model; and then video quality of the to-be-assessed video is assessed based on the assessment model and the parameter set of the to-be-assessed video, to obtain an assessment result.

    Video Quality Assessment Method and Apparatus

    公开(公告)号:US20200162725A1

    公开(公告)日:2020-05-21

    申请号:US16689742

    申请日:2019-11-20

    Abstract: In a video quality assessment method, an assessment model is first generated based on a subjective assessment result of a user on each sample in a sample set and based on a parameter set (a parameter type in the parameter set may include at least one of a packet loss rate, a delay, and a jitter) of each sample. Therefore, when video quality is being assessed, a parameter set of a to-be-assessed video is obtained first, where the parameter set of the to-be-assessed video has a same parameter type as the parameter set of each sample that is used to generate the assessment model; and then video quality of the to-be-assessed video is assessed based on the assessment model and the parameter set of the to-be-assessed video, to obtain an assessment result.

    Method and apparatus for generating application identification model

    公开(公告)号:US12039422B2

    公开(公告)日:2024-07-16

    申请号:US17162669

    申请日:2021-01-29

    CPC classification number: G06N20/00 H04L41/145 H04L43/022

    Abstract: Embodiments of this application disclose a method and an apparatus for generating an application identification model. The method includes: obtaining Y data packets, where the Y data packets correspond to P applications, an ith application in the P applications corresponds to M(i) data packets, and Y=Σi=1PM(i), 1≤i≤P; extracting a target parameter of each of the M(i) data packets of each of the P applications to obtain M(i) samples, where the target parameter indicates information about a session connection established between the ith application and a server that provides the ith application; and training an initial identification model based on the M(i) samples of each of the P applications, to obtain a first application identification model, where the first application identification model is used to determine, based on a target parameter of a data packet, an application corresponding to the data packet.

    Method and Apparatus for Generating Application Identification Model

    公开(公告)号:US20210158217A1

    公开(公告)日:2021-05-27

    申请号:US17162669

    申请日:2021-01-29

    Abstract: Embodiments of this application disclose a method and an apparatus for generating an application identification model. The method includes: obtaining Y data packets, where the Y data packets correspond to P applications, an ith application in the P applications corresponds to M(i) data packets, and Y=Σi=1PM(i), 1≤i≤P; extracting a target parameter of each of the M(i) data packets of each of the P applications to obtain M(i) samples, where the target parameter indicates information about a session connection established between the ith application and a server that provides the ith application; and training an initial identification model based on the M(i) samples of each of the P applications, to obtain a first application identification model, where the first application identification model is used to determine, based on a target parameter of a data packet, an application corresponding to the data packet.

Patent Agency Ranking