NoScope: Optimizing Neural Network Queries over Video at Scale
Summary: Auto-sequences a cascade of specialized and difference detectors to accelerate neural-network video queries while preserving reference-model accuracy. A cost-based optimizer tunes the cascade per video/object, delivering up to 15,500x real-time speedups with 1–5% accuracy loss. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Daniel Kang
- 2. John Emmons
- 3. Firas Abuzaid
- 4. Peter Bailis
- 5. Matei Zaharia
Incoming Citations (Sorted by Pagerank)
Showing 5 of 55 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,667 | Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse | 2025 | VLDB | 4.1945683e-05 |
| 11,273 | PAINE Demo: Optimizing Video Selection Queries With Commonsense Knowledge | 2023 | VLDB | 4.1945683e-05 |
| 11,426 | Accelerating Queries over Unstructured Data with ML | 2021 | CIDR | 4.1945683e-05 |
| 11,483 | Shahin: Faster Algorithms for Generating Explanations for Multiple Predictions | 2021 | SIGMOD | 4.1945683e-05 |
| 11,740 | Collaborative Edge and Cloud Neural Networks for Real-Time Video Processing | 2018 | VLDB | 4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 1,657 | Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine | 2019 | CIDR | 0.00010987105 |
| 696 | BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics | 2020 | VLDB | 0.00018048935 |
| 9,341 | SketchQL: Video Moment Querying with a Visual Query Interface | 2024 | SIGMOD | 4.3554097e-05 |
| 5,173 | FiGO: Fine-Grained Query Optimization in Video Analytics | 2022 | SIGMOD | 5.6447253e-05 |
| 4,213 | SVQ++: Querying for Object Interactions in Video Streams | 2020 | SIGMOD | 6.3553296e-05 |
| 3,620 | SVQ: Streaming Video Queries | 2019 | SIGMOD | 6.9084299e-05 |
| 3,206 | Panorama: A Data System for Unbounded Vocabulary Querying over Video | 2020 | VLDB | 7.3826363e-05 |
| 11,061 | Optimizing Video Queries with Declarative Clues | 2024 | VLDB | 4.1945683e-05 |
| 4,950 | Evaluating Temporal Queries Over Video Feeds | 2021 | SIGMOD | 5.8104133e-05 |
| 8,672 | Optimizing Video Selection LIMIT Queries With Commonsense Knowledge | 2024 | VLDB | 4.4710897e-05 |