The growing prevalence of multimodal data streams—such as video, images, and text—poses new challenges for stream processing systems. Existing systems are designed for structured data and struggle to support multimodal workloads efficiently. While …
In this paper, we present a vision for a new generation of multimodal streaming systems that embed MLLMs as first-class operators, enabling real-time query processing across multiple modalities. Achieving this is non-trivial: while recent work has …
IMPACT is a scalable framework for autonomous, rapid traffic incident analysis using existing urban CCTV infrastructure. It combines a low-latency CPU-based vision module for real-time key-frame filtering with the causal reasoning capabilities of …