Android-based Action Recognition with 3D CNN and UCF 101 dataset
A real-time video classification capability for mobile devices operates through an Android-based system supported by 3D CNN architecture and UCF-101 dataset processing. A new method uses MoViNet models integrated with TensorFlow Lite to execute video analysis directly on devices, so users get immedi...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2025/13/epjconf_icetsf2025_01001.pdf |
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