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Video content validity visual analysis method and system based on multi-modal emotion

A video content and effectiveness technology, applied in the fields of information technology and visualization, can solve the problems that the methods and principles of speech cannot be unified

Active Publication Date: 2021-12-03
INST OF SOFTWARE - CHINESE ACAD OF SCI
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, there are many speech training institutions and public speaking experts on the market who are responsible for training students' public speaking skills in various environments, but these organizations and individuals cannot agree on the methods and principles of many speeches, even in specific speeches. In the competition, different judges also have different views on speech skills

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Embodiment Construction

[0033] In order to enable those skilled in the art to better understand the present invention, the method and system for visual analysis of video content effectiveness based on multimodal emotion provided by the present invention will be further described in detail below in conjunction with the accompanying drawings, but this does not constitute a limitation of the present invention .

[0034] The present invention mainly includes the following contents (wherein the description is made for the field of lectures, and the present invention can also be applied to teaching videos, entertainment videos and other video types):

[0035] 1. Emotional data collection and processing process

[0036] The emotional data collection and processing process mainly includes specific fields: 1) data collection, 2) data preprocessing, 3) emotional validity factor calculation, and 4) correlation analysis. Emotional data includes three modalities: image, sound, and text, and two types: discrete a...

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Abstract

The invention discloses a video content validity visual analysis method and system based on multi-modal emotion. The method comprises the following steps: collecting a specific type of video and a label of a validity objective index thereof; extracting sentiment data of various modes in the video; on the basis of the extracted emotion data, determining effectiveness factors in combination with actual requirements of the field, and obtaining numerical values of different effectiveness factors through calculation; analyzing the correlation between the effectiveness factor and the effectiveness objective index to obtain a correlation result of the effectiveness factor; and displaying correlation results of the extracted emotion data and the validity factors in different visual forms, so that a user can perform multi-level exploration from the whole to the local by taking the emotion as a principal line. The video content effectiveness is analyzed by means of a visualization method, the method has the advantages in the aspects of quantifying video content effectiveness factors and achieving objective analysis, and an analysis result with visual impact can be provided for a user in a visual and effective mode.

Description

technical field [0001] The invention belongs to the fields of information technology and visualization technology, and in particular relates to a method and system for visually analyzing the effectiveness of video content based on multimodal emotion. Background technique [0002] With the rapid development of multimedia technology, video resources have increased massively. All kinds of videos often contain multiple modal information such as images, sounds, and texts. The multi-modal emotional content in videos plays an important role in the transmission of information and the expression of ideas. For speech videos, the importance of emotional content is mainly reflected in the following aspects: First, the emotional ups and downs and fluctuations contained in the speech affect the advancement of the speech content, and are also directly related to the audience's emotions, which contain rich, full Emotional speeches can often leave a deeper impression on the audience; second...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 马翠霞黄泽远马腾飞宋建成邓小明王宏安
Owner INST OF SOFTWARE - CHINESE ACAD OF SCI
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