AI RESEARCH
FlowNar: Scalable Streaming Narration for Long-Form Videos
arXiv CS.CV
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ArXi:2606.00620v1 Announce Type: new Recent Large Multimodal Models (LMMs), primarily designed for offline settings, are ill-suited for the dynamic requirements of streaming video. While recent online adaptations improve real-time processing, they still face critical scalability challenges, with resource demands typically growing at least linearly with video duration. To overcome this bottleneck, we propose FlowNar, a novel framework for scalable streaming video narration.