Scene extraction accuracy of different models.

<div><p>The extraction, classification, and judgment of sports video scenes can improve work efficiency and accuracy. To understand sports videos in dynamic scenes, this study applies deep learning technology, firstly introducing clustering algorithm and attention mechanism to improve th...

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Bibliographic Details
Main Author:	Ting Wang (16292) (author)
Other Authors:	Xiao Yan (641696) (author), Jiawei Li (559407) (author), Xilong Luo (22566923) (author)
Published:	2025
Subjects:	Biotechnology Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified recurrent neural network point calculation times artificial intelligence algorithm understand sports videos sports video analysis sparrow search algorithm maximum correlation accuracy sports video scenes target detection technology rnn </ p proposed model achieved improve work efficiency average detection accuracy football sports judgment classification accuracy ), detection accuracy sports industry parameter search dynamic scenes detection speed highest accuracy xlink "> union ratio trackingnet dataset targets existing target scene study proposes study contributes squared value semantic consistency recall rate rapid development minimum number innovative solution improved yolov7 highest intersection different datasets convergence value automatically extract attention mechanism 961 respectively 245 fps
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Scene extraction accuracy of different models.

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