Method and device for evaluating quality of encrypted video stream

Abstract

The embodiment of the application discloses a method and device for evaluating quality of an encrypted video stream, relating to the field of communication, and aiming at solving the problem of how to evaluate the quality of the encrypted video stream at the network side. The specific scheme comprises the following steps: obtaining at least one video fragment, obtaining fluency influence parameters and clarity influence parameters of each video fragment, obtaining a fluency evaluation value of each video fragment according to the fluency influence parameters and a fluency model, obtaining a clarity evaluation value of each video fragment according to the clarity influence parameters and a clarity model, obtaining a fluency evaluation value of the encrypted video stream according to the fluency evaluation value of each video fragment, obtaining a clarity evaluation value of the encrypted video stream according to the clarity evaluation value of each video fragment, and performing comprehensive evaluation according to the fluency evaluation value and the clarity evaluation value of the encrypted video stream to obtain a comprehensive evaluation value of the encrypted video stream. The method and device disclosed by the embodiment of the application are applied to the process of evaluating the quality of the encrypted video stream.

Description

technical field [0001] The embodiments of the present application relate to the communication field, and in particular, to a method and device for evaluating the quality of an encrypted video stream. Background technique [0002] Streaming media, also known as streaming media, is media that is broadcast while broadcasting. Broadcasting while broadcasting means that while the media provider is transmitting the media on the network, the client user can continuously receive and watch or listen to the transmitted media. Streaming media can include video streaming and audio streaming. Overseas, the traffic of video streams gradually occupies a dominant position in the total network traffic and is growing rapidly, and the traffic of encrypted video streams has exceeded the traffic of non-encrypted video streams. [0003] At present, experience feature modeling and experience anomaly detection of video streams can improve the quality of video streams and user experience. The vide...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a method and device for evaluating the quality of encrypted video streams, which solves the problem of how to evaluate the quality of encrypted video streams on the network side

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