StreamAhead: Real-Time Streaming Video Question Answering via Adaptive Precomputation
Real-time streaming video question answering with vision-language models must answer queries that arrive at any time with low latency while sustaining the video-processing rate required by the application. Existing systems construct key-value (KV) caches for the entire video as it arrives, although a query typically uses only a few of the preceding frames as evidence. This highlights a fundamental trade-off: performing more computation as video arrives reduces query-time computation but can increase processing lag, whereas deferring computation can increase the video-processing rate but requires additional query-time computation for retrieved content. We present StreamAhead, an algorithm-...
| Authors | Haoyang Fan, Dhruv Parikh, Rajgopal Kannan et al. |
|---|---|
| Primary category | cs.DC |
| Published | 18 October 2026 |
| Last updated at source | 18 October 2026 |
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