Computer Science ›› 2022, Vol. 49 ›› Issue (7): 79-88.doi: 10.11896/jsjkx.210600028

• Computer Graphics & Multimedia • Previous Articles     Next Articles

Survey on Action Quality Assessment Methods in Video Understanding

ZHANG Hong-bo1, DONG Li-jia1, PAN Yu-biao2, HSIAO Tsung-chih2, ZHANG Hui-zhen2, DU Ji-xiang2,3   

  1. 1 School of Computer Science and Technology,Huqiao University,Xiamen,Fujian 361000,China
    2 Fujian Key Laboratory of Big Data Intelligence and Security,Huaqiao University,Xiamen,Fujian 361000,China
    3 Xiamen Key Laboratory of Computer Vision and Pattern Recognition,Huaqiao University,Xiamen,Fujian 361000,China
  • Received:2021-06-02 Revised:2021-10-20 Online:2022-07-15 Published:2022-07-12
  • About author:ZHANG Hong-bo,born in 1986,Ph.D,associate professor,master tutor,is a member of China Computer Federation.His main research interests include computer vision,machine learning and video understanding.
  • Supported by:
    National Natural Science Foundation of China(61871196),Natural Science Foundation of Fujian Province,China(2019J01082) and Promotion Program for Young and Middle-aged Teachers in Science and Technology Research of Huaqiao University(ZQN-YX601).

Abstract: Action quality assessment refers to evaluate the action quality performed by human in video,such as calculating the quality score,level and evaluating the performance of different people.It is an important direction in video understanding and computer vision research.This paper summarizes the main methods of action quality assessment,including action quality score prediction methods,level classification and ranking methods.The performance of these methods on public datasets is also analyzed.Finally,the challenge problems in future research are discussed.

Key words: Video understanding, Action quality assessment, Quality score prediction, Grade classification, Level sort

CLC Number: 

  • TP391.41
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