Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine
Summary: Identifies cost and deployment pain in DNN video analytics and presents BlazeIt—an optimizing engine with FrameQL to automate and scale video-analytics pipelines. Demos FrameQL plus ML-debugging and optimizer primitives to make large-scale video queries feasible and outlines remaining systems challenges. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Daniel Kang
- 2. Peter Bailis
- 3. Matei Zaharia
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 317 | NoScope: Optimizing Neural Network Queries over Video at Scale | 2017 | VLDB | 0.0002798145 |
| 331 | The Query By Image Content (QBIC) System | 1995 | SIGMOD | 0.00027199905 |
| 332 | Accelerating Machine Learning Inference with Probabilistic Predicates | 2018 | SIGMOD | 0.00027173479 |
| 2,489 | STRG-Index: Spatio-Temporal Region Graph Indexing for Large Video Databases | 2005 | SIGMOD | 8.6507319e-05 |
| 2,536 | DeepLens: Towards a Visual Data Management System | 2019 | CIDR | 8.5817195e-05 |
| 5,361 | Kyrix: Interactive Visual Data Exploration at Scale | 2019 | CIDR | 5.5476484e-05 |
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| 694 | BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics | 2020 | VLDB | 0.00018031141 |