Evaluation and processing method, device, intelligent device and storage medium based on video

Abstract

The embodiment of the present invention discloses a video evaluation and processing method, device, and smart device, wherein the method includes: calculating the time domain parameters of the first video according to the time domain characteristic data of the first video; The time-domain factor processes the time-domain feature data of the second video to obtain the time-domain parameters of the second video, and the second video refers to: obtained after processing the first video in the first processing system video; according to the time domain parameters of the first video and the time domain parameters of the second video, obtain evaluation parameters about the first processing system, and output the evaluation parameters; the time domain factors are based on The abnormal state of the video frame of the second video is determined. By adopting the embodiment of the present invention, the user's automatic and intelligent requirements for evaluating the video processing system can be satisfied to a certain extent, and the quality evaluation efficiency of the video processing system is improved.

Description

technical field [0001] The present invention relates to the field of computer application technology, in particular to a video-based evaluation processing method, device, intelligent device and computer storage medium. Background technique [0002] With the popularity of WiFi and 4G, video has gradually surpassed pictures, becoming an important part of interactive data between users, and also the part that consumes the most terminal traffic, and occupies an important visual space. A reasonable video processing system can save bandwidth and traffic for users, and improve visual effects. [0003] However, after processing the originally obtained video based on different video processing systems, there will be different degrees of distortion. In order to determine the quality loss of the distorted video obtained by the video processing system relative to the reference video, the video subjective quality evaluation method can be used for evaluation, but this requires a large nu...

AI Technical Summary

Problems solved by technology

[0003] However, after processing the original obtained video based on different video processing systems, there will be different degrees of distortion

In order to determine the quality loss of the distorted video obtained by the video processing system relative to the reference video, the video subjective quality evaluation method can be used for evaluation, but this requires a large number of professional users to score the video quality, and the efficiency is low

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