DHMDL: Dynamically Hashed Multimodal Deep Learning Framework for Racket Video Summarization Using Audio and Visual Markers
Sports videos are being streamed over a large range of social media platforms, and they always have a huge audience base and viewer history. In order to provide more excitement for the users in watching a completed game, automatic video summarization is an inevitable solution. While sports like socc...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2025.2462382 |
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