AI RESEARCH

StreamAgent: Towards Anticipatory Agents for Streaming Video Understanding

arXiv CS.CV

ArXi:2508.01875v4 Announce Type: replace Real-time streaming video understanding in domains such as autonomous driving and intelligent surveillance poses challenges beyond conventional offline video processing, requiring continuous perception, proactive decision making, and responsive interaction based on dynamically evolving visual content. However, existing methods rely on alternating perception-reaction or asynchronous triggers, lacking task-driven planning and future anticipation, which limits their real-time responsiveness and proactive decision making in evolving video streams.