Abstract: A method for determining quality of an audio and video stream includes: obtaining a key indicator for a target audio and video stream, the key indicator including at least one of the following indicators within a reference time period: a maximum quantity of continuously lost packets, an average packet receiving time interval, an average packet receiving time interval variance, or a quantity of stream interruptions; and determining a QoE of the target audio and video stream based on the key indicator.

Abstract: A method for determining quality of an audio and video stream includes: obtaining a key indicator for a target audio and video stream, the key indicator including at least one of the following indicators within a reference time period: a maximum quantity of continuously lost packets, an average packet receiving time interval, an average packet receiving time interval variance, or a quantity of stream interruptions; and determining a QoE of the target audio and video stream based on the key indicator.

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.

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=?i=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.

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.