MIRIS: Fast Object Track Queries in Video
Summary: Query-driven tracking fuses object-tracking with predicate evaluation to accelerate object-track queries in video databases. Adaptive framerate: low by default, upsampled as needed for accuracy, achieving ~9x speedups over the IOU tracker. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Favyen Bastani
- 2. Songtao He
- 3. Arjun Balasingam
- 4. Karthik Gopalakrishnan
- 5. Mohammad Alizadeh
- 6. Hari Balakrishnan
- 7. Michael Cafarella
- 8. Tim Kraska
- 9. Sam Madden
Incoming Citations (Sorted by Pagerank)
Showing 36 of 36 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 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 |
| 332 | Accelerating Machine Learning Inference with Probabilistic Predicates | 2018 | SIGMOD | 0.00027173479 |
| 1,655 | Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine | 2019 | CIDR | 0.000109771 |
| 2,536 | DeepLens: Towards a Visual Data Management System | 2019 | CIDR | 8.5817195e-05 |
| 3,624 | SVQ: Streaming Video Queries | 2019 | SIGMOD | 6.9013718e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,168 | FiGO: Fine-Grained Query Optimization in Video Analytics | 2022 | SIGMOD | 5.6446115e-05 |
| 9,770 | DoveDB: A Declarative and Low-Latency Video Database | 2023 | VLDB | 4.2815042e-05 |
| 9,346 | SketchQL: Video Moment Querying with a Visual Query Interface | 2024 | SIGMOD | 4.3512358e-05 |
| 8,646 | Optimizing Video Selection LIMIT Queries With Commonsense Knowledge | 2024 | VLDB | 4.4720866e-05 |
| 3,624 | SVQ: Streaming Video Queries | 2019 | SIGMOD | 6.9013718e-05 |
| 10,947 | Predictive and Near-Optimal Sampling for View Materialization in Video Databases | 2024 | SIGMOD | 4.1905499e-05 |
| 8,272 | TQVS: Temporal Queries over Video Streams in Action | 2020 | SIGMOD | 4.5394894e-05 |
| 4,947 | Evaluating Temporal Queries Over Video Feeds | 2021 | SIGMOD | 5.8107138e-05 |
| 11,064 | Optimizing Video Queries with Declarative Clues | 2024 | VLDB | 4.1905499e-05 |
| 4,865 | OTIF: Efficient Tracker Pre-processing over Large Video Datasets | 2022 | SIGMOD | 5.8627966e-05 |