A method and system based on mobile Internet video user perception and analysis

Abstract

The invention discloses a user perception and analysis method and system based on mobile Internet videos. The method comprises the following steps: defining a video business behavior; analyzing a video format to obtain relevant video parameters comprising a video definition buffer time, a video resolution and video content packet format analysis; designing a video business perception and analysis method with a pressure valve leakage bucket as the principle in combination with self video definition, SP definition, operating system definition and other various conditions that affect video playing, judging initial video buffer completion, video blockage occurrence and playing recovery conditions based key parameters based on video perception, and accurately feeding back real perception conditions of a user and video business conditions. By adopting the user perception and analysis method and system disclosed by the invention, the user perception definition accuracy of the video business having the maximum single business traffic of the mobile networking user can be improved, and the network conditions of the mobile Internet and auxiliary problem positioning can be embodied through the business indexes obtained by analysis.

Description

technical field [0001] The present invention relates to the technical field of mobile Internet, in particular to a method and system based on mobile Internet video user perception and analysis. Background technique [0002] With the comprehensive popularization of 4G networks and continuous improvement of terminal performance, video services are also developing rapidly, and the proportion and importance of video services in the entire network service traffic are constantly increasing. According to the statistics at the beginning of 2016, video playback services have already It accounts for more than 40% of the total traffic of 4G services, and it is still rising. Customer perception of video services depends not only on network quality, but also on the joint role of all links in the "end-pipe-cloud platform". It is urgent to shift from quality management based on the network itself to an end-to-end horizontally integrated quality assurance mechanism that focuses on customer ...

AI Technical Summary

Problems solved by technology

[0028] 3. Secondary cache time: After the first playback, the video needs to be cached when there is a pause

[0052] 2. The video freeze judgment algorithm is a "compromise solution". If this condition is met, it will not necessarily cause freeze (because it is not considered that the previous buffer is sufficient, it is only the case that the download volume is not enough in a certain judgment period), and it may not meet this condition. Caton will occur (because if the previous buffer is consumed, "streaming media code rate * transmission duration > = actual data volume within the transmission duration" may occur)

[0054] 4. The impact of parameters in various video formats on caching and user perception is not considered, resulting in inaccurate parameters that the algorithm relies on at the beginning

[0060] In short, neither the mobile group algorithm nor the Anhui mobile algorithm can accurately reflect the access behavior and user perception of mobile Internet video users

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