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An Online Arrangement Method of Difficult Actions in Competitive Aerobics Based on Multimedia Technology

Author:

Li Li Academic Editor:

Chi-Hua ChenAuthors Info & Claims

Security and Communication Networks, Volume 2021

https://doi.org/10.1155/2021/9968401

Published: 01 January 2021 Publication History

Abstract

In accordance with the development trend of competitive aerobics’ arrangement structure, this paper studies the online arrangement method of difficult actions in competitive aerobics based on multimedia technology to improve the arrangement effect. RGB image, optical flow image, and corrected optical flow image are taken as the input modes of difficult action recognition network in competitive aerobics video based on top-down feature fusion. The key frames of input modes in competitive aerobics video are extracted by using the key frame extraction method based on subshot segmentation of a double-threshold sliding window and fully connected graph. Through forward propagation, the score vector of video relative to all categories is obtained, and the probability score of probability distribution is obtained after normalization. The human action recognition in competitive aerobics video is completed, and the online arrangement of difficult action in competitive aerobics is realized based on this. The experimental results show that this method has a high accuracy in identifying difficult actions in competitive aerobics video; the online arrangement of difficult actions in competitive aerobics has obvious advantages, meets the needs of users, and has strong practicability.

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Cited By

and Communication Networks S(2023)RetractedSecurity and Communication Networks10.1155/2023/98059632023Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1155/2023/9805963
Ding XHuang N(2022)Application of Multimedia Technology in Online Piano TeachingMobile Information Systems10.1155/2022/19855462022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/1985546
Yan GWoźniak M(2022)Accurate Key Frame Extraction Algorithm of Video Action for Aerobics Online TeachingMobile Networks and Applications10.1007/s11036-022-01939-127:3(1252-1261)Online publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1007/s11036-022-01939-1

Index Terms

An Online Arrangement Method of Difficult Actions in Competitive Aerobics Based on Multimedia Technology
1. Applied computing
  1. Life and medical sciences
2. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Video segmentation
      2. Computer vision tasks

Index terms have been assigned to the content through auto-classification.

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Information & Contributors

Information

Published In

cover image Security and Communication Networks

Security and Communication Networks Volume 2021, Issue

2021

10967 pages

ISSN:1939-0114

EISSN:1939-0122

Issue’s Table of Contents

Copyright © 2021 Li Li.

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Publisher

John Wiley & Sons, Inc.

United States

Publication History

Published: 01 January 2021

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Cited By

and Communication Networks S(2023)RetractedSecurity and Communication Networks10.1155/2023/98059632023Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1155/2023/9805963
Ding XHuang N(2022)Application of Multimedia Technology in Online Piano TeachingMobile Information Systems10.1155/2022/19855462022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/1985546
Yan GWoźniak M(2022)Accurate Key Frame Extraction Algorithm of Video Action for Aerobics Online TeachingMobile Networks and Applications10.1007/s11036-022-01939-127:3(1252-1261)Online publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1007/s11036-022-01939-1

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