High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration
Summary: Hippo enables real-time video ingestion via V-ETL, reframing analytics as a data-warehouse task for hundreds of streams. It defines a 1e7x larger configuration space, accuracy-aware search with graph embeddings and RL, plus clustering with MILP to maximize accuracy under latency, delivering 300 streams with >30% gains. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Baiyan Zhang
- 2. Zepeng Li
- 3. Dongxiang Zhang
- 4. Huan Li
- 5. Kian-Lee Tan
- 6. Gang Chen
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,103 | Query-Aware Path Inference from Spatial Videos | 2026 | SIGMOD | 4.1905499e-05 |
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