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Rethinking Video Storage for AI Training: Breaking Cross-Frame Dependencies for Efficient Random Access

Large-scale AI training increasingly relies on massive video datasets with random temporal sampling patterns. However, existing video storage paradigms are optimized for sequential playback and employ

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222Score · 24h

84Score · 7d

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Oct 27, 2026First seen

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Rethinking Video Storage for AI Training: Breaking Cross-Frame Dependencies for Efficient Random Access was first seen on Hugging Face · Daily papers on Oct 27, 2026. Since then it appeared in 7 hourly checks across 1 day, peaking at #18 on Oct 27, 21:28 UTC. It is #18 on the list right now.

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