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An Efficient Streaming Video Understanding Framework with Agentic Control
arXiv:2605.17921v2 Announce Type: replace Abstract: Streaming video requires handling dynamic information density under strict latency budgets. Yet, existing methods typically employ static strategies, such as fixed memory compression or reliance on a single model, forcing a trade-off: fast models fail on complex queries, while always-on heavy models violate real-time constraints and overcomplicate simple queries.