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

arXiv:2610.33079v1 Announce Type: new Abstract: 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 sophisticated inter-frame reference structures to…

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  1. 2026-10-27 04:00 · arXiv cs.CV
    Rethinking Video Storage for AI Training: Breaking Cross-Frame Dependencies for Efficient Random Access

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