LGVSC: A Large-Model-Driven Generative Video Semantic Commun...

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This preprint explores LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework. The work presents new findings in Engineering & Technology through rigorous analysis, contributing fresh perspectives to the ongoing scientific conversation.

🔑 Key Findings

Authors present novel findings with implications for Engineering & Technology.
Research builds on existing work with new methods and analytical results.
Results open pathways for future study and potential applications.

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These innovations translate to real-world improvements in technology, infrastructure, and the tools we rely on every day.

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📋 Article Details

Category	⚙️ Engineering & Technology
Published	Jun 11, 2026
Journal	arXiv Preprint
Authors	Yu Ma, Hang Yin, Li Qiao, Shuo Sun
Source	arXiv

🗂️ Research Categories

🤖 Artificial Intelligence 🧬 Medicine & Biology ⚛️ Physics & Space Science ⚙️ Engineering & Technology ∑ Mathematics

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework

🤖 Plain-English Summary

🔑 Key Findings

💡 Why This Matters

📋 Article Details

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