Testing method for digitizing smoothness of video streaming client

Abstract

The invention discloses a testing method for datamation of smoothness of a video streaming client. According to the method, the positions where the scales pass through in the picture are detected on the playing surface of the client side in real time and at high frequency, that is, continuous color picking is carried out at the designated positions, the designated positions are the areas where the scales pass through, the time points when the scale colors are picked are recorded, and the intervals and variances of all the times are calculated. The variance can accurately reflect the fluency of the video, the smaller the variance is, the more uniform the intervals between the frames are, and the fluency of the video is good; the larger the variance is, the nonuniform interval between frames is, and the video fluency is poor. In addition, the smoothness of the streaming video is displayed in a datamation mode, and testing and comparison are facilitated.

Description

technical field [0001] The invention relates to the technical field of video streaming testing, in particular to a testing method for digitizing the smoothness of a video streaming client. Background technique [0002] In order to test the fluency of network video, video quality evaluation method and device (CN112995652A) describe the testing method of picture smoothness in this method, but said fluency here mainly concentrates on Caton aspect; Frames) to test whether the interval is uniform, if not, you will also feel the decrease in smoothness on the video screen. Furthermore, the current methods for the fluency of video streams are mainly focused on manual testing. There is no data-based method to describe whether the screen is smooth or not. The human eye test has large errors due to differences in human bodies, and it cannot effectively measure different scenarios. streaming differences. [0003] Therefore, there are defects in the prior art and need to be improved. ...

AI Technical Summary

Problems solved by technology

[0002] In order to test the fluency of network video, video quality evaluation method and device (CN112995652A) describe the testing method of picture smoothness in this method, but said fluency here mainly concentrates on the Caton aspect; Frames) to test whether the interval is uniform, if not, you will also feel the decrease in smoothness on the video screen

Furthermore, the current methods for the fluency of video streams are mainly focused on manual testing. There is no data-based method to describe whether the screen is smooth or not. The human eye test has a large error according to the difference of the human body, and it cannot effectively measure different scenarios. streaming differences

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