Generating Deeply-Engineered Technical Features for Basketball Video Understanding

Investigating video-guided basketball movement understanding is essential for enhancing sports coaching. Integrating basketball videos with human-computer interaction (HCI) algorithms significantly improves training efficiency. In this paper, we propose a novel method for basketball player motion re...

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Bibliographic Details
Main Authors: Shaohua Fang, Guifeng Wang, Yongbin Li, Yue Yu, Jun Li
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10856153/
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