Video content evaluation method and video content evaluation system

Abstract

The invention provides a video content evaluation method and a video content evaluation system, and the method comprises the steps: in a first test stage, receiving eye movement signals in a process that eye movement equipment collects each tested watching video sequence, obtaining first eye movement data, and receiving an electroencephalogram signal collected by electroencephalogram equipment, and obtaining first electroencephalogram data; calculating first eye movement index data based on the first eye movement data; calculating a first emotion index value corresponding to each target video in the first test stage based on the first electroencephalogram data; in a second test stage, receiving an electroencephalogram signal acquired by the electroencephalogram equipment to obtain second electroencephalogram data; calculating second emotion index data according to the second electroencephalogram data, and calculating a second emotion index value according to the second emotion index data; and calculating a comprehensive evaluation value of the target video based on the first eye movement index value, the first emotion index value and the second emotion index value, and obtaining a first evaluation result according to the comprehensive evaluation value. Through the steps, the purpose that the obtained evaluation result is objective, direct and accurate is achieved.

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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