Video-Browser: Towards Open-web Agentic Video Browsing
Video-Browser introduces an agent system that solves the problem of processing open-web videos by using Pyramidal Perception. It filters massive video data first using cheap metadata, then zooms in with expensive visual perception only when necessary. This approach significantly improves accuracy while drastically cutting down on computational costs and token usage compared to traditional methods.