An Efficient Streaming Video Understanding Framework with Agentic Control 事件

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. Rather