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Action Quality Evaluation Method Based on Uncertainty Score Distribution Learning

A quality evaluation and uncertainty technology, applied in the field of computer vision and deep learning, can solve problems such as difficulty in robust action quality evaluation, score uncertainty, etc., and achieve the effect of efficient and accurate action quality evaluation

Active Publication Date: 2022-08-09
TSINGHUA UNIV
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AI Technical Summary

Problems solved by technology

[0006] However, this calculation method accounts for the ambiguity of the final score due to different ratings
Furthermore, the subjective evaluation of each judge may also bring uncertainty to the final score
In addition to diving sports, this phenomenon also widely exists in the evaluation of other sports (such as gymnastics, alpine skiing, etc.), making robust action quality evaluation particularly difficult

Method used

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  • Action Quality Evaluation Method Based on Uncertainty Score Distribution Learning
  • Action Quality Evaluation Method Based on Uncertainty Score Distribution Learning
  • Action Quality Evaluation Method Based on Uncertainty Score Distribution Learning

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Embodiment Construction

[0036] The following describes in detail the embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary, and are intended to explain the present invention and should not be construed as limiting the present invention.

[0037] The following describes an action quality evaluation method based on uncertainty score distribution learning proposed according to an embodiment of the present invention with reference to the accompanying drawings.

[0038] figure 2 It is a flow chart of an action quality evaluation method based on uncertainty score distribution learning according to an embodiment of the present invention.

[0039] like figure 2 As shown, the action quality evaluation method based on uncertain...

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Abstract

The invention discloses an action quality evaluation method based on uncertainty score distribution learning. The network is optimized by optimizing the KL divergence between the predicted score label and the supervision signal; the test video is input into the optimized predicted video score model, and the score with the largest probability value is selected as the final predicted score. This method can better describe the probability of action quality scores and solve the problem of ambiguity in action quality evaluation score labels.

Description

technical field [0001] The invention relates to the technical field of computer vision and deep learning, and in particular to an action quality evaluation method based on uncertainty score distribution learning. Background technique [0002] Human action quality evaluation aims to evaluate the quality of a person's performance of a specific action. Due to its potential application in sports video processing, medical care, etc., it has become an emerging and interesting topic in the field of computer vision. Compared to traditional action recognition problems that focus on classification, action behavior evaluation is more challenging because it needs to deal with videos with extremely small class spacing. [0003] In the past few years, several methods for action quality evaluation have been proposed. However, for any action in the related art, the action quality evaluation is regarded as a simple regression problem to predict the score of the video. Since the videos tha...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06V40/20G06V10/82G06N3/04G06N3/08G06K9/62
CPCG06Q10/06393G06N3/08G06V40/23G06N3/045G06F18/25
Inventor 周杰鲁继文于旭敏倪赞林唐彦嵩
Owner TSINGHUA UNIV
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