Research Article
Classification Algorithm of Sports Teaching Video Based on Wireless Sensor Network
@INPROCEEDINGS{10.1007/978-3-031-50543-0_20, author={Zhipeng Chen}, title={Classification Algorithm of Sports Teaching Video Based on Wireless Sensor Network}, proceedings={Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part I}, proceedings_a={ADHIP}, year={2024}, month={3}, keywords={Wireless Sensor Network Physical Education Video Classification Accuracy Rate Recall Rate}, doi={10.1007/978-3-031-50543-0_20} }- Zhipeng Chen
Year: 2024
Classification Algorithm of Sports Teaching Video Based on Wireless Sensor Network
ADHIP
Springer
DOI: 10.1007/978-3-031-50543-0_20
Abstract
In view of the problems of low recall and accuracy caused by the huge amount of physical education teaching videos, a physical education teaching video classification algorithm based on wireless sensor network is proposed. The classification framework of physical education teaching videos based on wireless sensor networks is constructed, and the video node coordinates are located according to the structural relationship of physical education teaching videos. Initialize the histogram index, calculate the similarity of any two frames of the video, and set the clustering index of key frames of the physical education teaching video based on the distance between the two frames. Retrieve the video to be classified, find the sensor node with the largest weight, calculate the distance between the target and the detection sensor node, design the video classification steps of physical education teaching, and realize video classification. The experimental results show that the minimum recall rate of this algorithm is 87%, and the maximum classification accuracy rate is ninety-seven percent, which has the advantages of high classification recall and accuracy.
