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Data analysis system based on relative emotion intensity, data modification method and universal framework thereof

A data analysis system, a technology of emotional intensity, applied in the computer field to achieve high-efficiency effects

Pending Publication Date: 2022-03-08
亿匀智行(深圳)科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

We believe that the disadvantage of this method is that it only interpolates body movements and facial expressions, but this does not necessarily accurately modify the emotions expressed in the data

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  • Data analysis system based on relative emotion intensity, data modification method and universal framework thereof
  • Data analysis system based on relative emotion intensity, data modification method and universal framework thereof
  • Data analysis system based on relative emotion intensity, data modification method and universal framework thereof

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Embodiment Construction

[0044] The present invention will be further described in detail below through specific embodiments in conjunction with the accompanying drawings. The present application can be implemented in many different forms, and is not limited to the implementation manners described in this embodiment case. The purpose of providing the following specific embodiments is to facilitate a clearer and more thorough understanding of the disclosure content of the present application.

[0045] The present invention relates to a data analysis system based on relative emotional intensity. The data is labeled in a fuzzy manner, and the absolute intensity can be automatically calculated through the relative intensity of the label; RankingSVM is used to sort the support vector machine to learn low-level motion features and emotions with different intensity levels. Relationships among high-level affective attributes. Among them, the absolute strength can be automatically calculated by labeling 10% o...

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Abstract

The invention relates to the field of computers, in particular to a data analysis system based on relative emotion intensity, a data modification method and a general framework thereof. The data analysis system utilizes relative emotion intensity to learn the relation between low-level motion features (such as joint positions and speeds) and high-level emotion attributes with different intensity levels for multi-modal data, such as a three-dimensional skeleton action sequence or a face image (image modification function), through sorting learning, so that the multi-modal data can be analyzed. High efficiency can be achieved only by labeling a small amount of training data; meanwhile, the invention provides a new data modification optimization method, modeling is carried out by using a nonlinear regression algorithm, and animation production and face image modification functions can be realized on a general framework.

Description

technical field [0001] The invention relates to the field of computers, in particular to a data analysis system based on relative emotional strength, a method for modifying data and a general framework thereof. Background technique [0002] Emotion is considered to be at the core of performance, and it is an integral part of making physical movement seem real. Animation on the computer, body movement and facial expressions are two popular mediums of emotional expression. In order to understand and express emotions, current research is increasingly focused on analyzing how users perceive performers' emotions through body movements and facial expressions. Although existing technologies in the fields of computer vision and artificial intelligence can recognize performers' emotions from body movements and facial expressions, it is a more challenging task to control actors with emotional intensity. [0003] Currently, the most relevant work is on style transfer from paradigms. ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V40/16G06K9/62G06N3/04G06N3/08G06N20/10
CPCG06N20/10G06N3/04G06N3/08G06F18/2135
Inventor 陆晓飞何书廉徐阳
Owner 亿匀智行(深圳)科技有限公司