Video content evaluation method and video content evaluation system

Abstract

The present invention provides a video content evaluation method and a video content evaluation system, the method comprising: in the first test stage, the receiving eye movement equipment collects the eye movement signals in the process of each subject watching the video sequence, and obtains the first eye movement data, and receiving the EEG signal collected by the EEG equipment to obtain the first EEG data; calculating the first eye movement index data based on the first eye movement data; calculating the first emotional index corresponding to each target video in the first test stage based on the first EEG data value; in the second test phase, the receiving EEG device collects the EEG signal to obtain the second EEG data; calculates the second emotional index data according to the second EEG data, and calculates the second emotional index value from the second emotional index data; A comprehensive evaluation value of the target video is calculated based on the first eye movement index value, the first emotional index value, and the second emotional index value, and a first evaluation result is obtained according to the comprehensive evaluation value. Through the above steps, in order to achieve objective, direct and accurate evaluation results obtained.

Description

technical field [0001] The invention belongs to the technical field of neuroscience, and in particular relates to a video content evaluation method and a video content evaluation system. Background technique [0002] In actual situations, the effect of direct delivery of video content cannot be evaluated, and once the video is delivered, a large amount of delivery costs will be incurred. For example, after putting each target video on the Douyin platform, it is impossible to know whether the consumer has watched the target video, and if further analysis of the target video is required, it is impossible to know the consumer's objective feelings about the target video, and It is difficult to know the specific evaluation of consumers on the target video and the specific effect of the target video from the massive videos of Douyin. [0003] However, in the prior art, it is difficult to obtain the objective evaluation of the content by the subjects during the process of watching...

AI Technical Summary

Problems solved by technology

[0002] In actual situations, the effect of direct delivery of video content cannot be evaluated, and once the video is delivered, a large amount of delivery costs will be incurred

For example, after putting each target video on the Douyin platform, it is impossible to know whether the consumer has watched the target video, and if further analysis of the target video is required, it is impossible to know the consumer's objective feelings about the target video, and It is difficult to know the specific evaluation of consumers on the target video and the specific effect of the target video from the massive videos of Douyin.

[0003] However, it is difficult for the existing technology to obtain the objective evaluation of the content by the subjects during the viewing process of the delivered video content.

It is difficult to make the results provided by the subjects objective and direct, and the test results do not have real-time monitoring and continuity

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