Action quality evaluation method based on uncertainty score distribution learning

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

Active Publication Date: 2020-10-16
TSINGHUA UNIV
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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 sco

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  • 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] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0037] The action quality evaluation method based on uncertainty score distribution learning according to an embodiment of the present invention will be described below with reference to the accompanying drawings.

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

[0039] Such as figure 2 As shown, the action quality evaluation method based on uncertainty score distribution learning includes the followin...

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Abstract

The invention discloses an action quality evaluation method based on uncertainty score distribution learning, and the method comprises the steps of taking a score label as a mean value, and generatingGaussian distribution as a supervision signal; sending the action video into a 3D neural network to predict a score label; optimizing the network by optimizing the KL divergence between the prediction score label and the supervision signal; and inputting the test video into the optimized prediction video score model, and selecting the score with the maximum probability value as the final prediction score. According to the method, the probability of the action quality score can be better described, and the ambiguity problem in the action quality evaluation score label is solved.

Description

technical field [0001] The invention relates to the technical fields of computer vision and deep learning, 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 completion of a specific action. Due to its potential applications in sports video processing, medical care, etc., it has become an emerging and interesting topic in the field of computer vision. Action evaluation is more challenging than traditional action recognition problems that focus on classification because it needs to deal with videos with extremely small distance between classes. [0003] In the past few years, some methods for action quality evaluation have been proposed. However, for any action in the related art, the action quality evaluation is only regarded as a simple regression problem to predict the score of the video. Since the videos that need ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06K9/00G06N3/04G06N3/08G06K9/62
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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