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Learning and fusing multiple hidden substages for action quality assessment
Knowledge-Based Systems, 2021Abstract Many of the existing methods for action quality assessment implement single-stage score regression networks that lack pertinence and rationality for the evaluation task. In this work, our target is to find a reasonable action quality assessment method for sports competitions that conforms to objective evaluation rules and field experience ...
Li-Jia Dong +5 more
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End-To-End Learning for Action Quality Assessment
2018Nowadays, action quality assessment has attracted more and more attention of the researchers in computer vision. In this paper, an end-to-end framework is proposed based on fragment-based 3D convolutional neural network to realize the action quality assessment in videos.
Yongjun Li 0004 +2 more
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Temporal attention learning for action quality assessment in sports video
Signal, Image and Video Processing, 2021This paper proposes an end-to-end temporal attention learning method to improve the performance of action quality assessment in sports video. For temporal weighted training, an attention-learning module is built to simulate the attention mechanism and judgement preference of human perception on action quality assessment.
Qing Lei, Hongbo Zhang 0002, Jixiang Du
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Assessing data quality: A managerial call to action
Business Horizons, 2020Abstract While awareness of data quality has increased in recent years, there have been very few studies on the actual level of data quality within organizations. This article outlines the analysis of 75 data quality assessments collected over the course of 2 years from a wide range of organizations, data sets, and business processes.
Tadhg Nagle, Tom Redman, David Sammon
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S3D: Stacking Segmental P3D for Action Quality Assessment
2018 25th IEEE International Conference on Image Processing (ICIP), 2018Action quality assessment is crucial in areas of sports, surgery and assembly line where action skills can be evaluated. In this paper, we propose the Segment-based P3D-fused network S3D built-upon ED-TCN and push the performance on the UNLV-Dive dataset by a significant margin.
Xiang Xiang 0001 +4 more
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2019
In this dissertation, we tackle the task of quantifying the quality of actions, i.e., how well an action was performed using computer vision. Existing methods used human body pose-based features to express the quality contained in an action sample.
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In this dissertation, we tackle the task of quantifying the quality of actions, i.e., how well an action was performed using computer vision. Existing methods used human body pose-based features to express the quality contained in an action sample.
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Vision-based human action quality assessment: A systematic review
Expert Systems With ApplicationsHuasheng Wang +2 more
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Human-Centric Fine-Grained Action Quality Assessment
IEEE Transactions on Pattern Analysis and Machine IntelligenceExisting action quality assessment (AQA) methods mainly learn deep representations at the video level to score diverse actions. Due to the lack of a fine-grained understanding of actions in videos, they suffer from low credibility and accuracy, thus insufficient for stringent applications, such as competitive sports and sports injury rehabilitation. We
Jinglin Xu, Sibo Yin, Yuxin Peng
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End-to-end Action Quality Assessment with Action Parsing Transformer
2023 IEEE International Conference on Visual Communications and Image Processing (VCIP), 2023Hang Fang +2 more
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Action Quality Assessment With Ignoring Scene Context
2021 IEEE International Conference on Image Processing (ICIP), 2021Takasuke Nagai +4 more
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