FiGO: Fine-Grained Query Optimization in Video Analytics
Summary: FiGO enables fine-grained query optimization in video analytics with a throughput–accuracy ensemble, assigning chunks to suitable models to meet accuracy. It prunes the ensemble to cut optimization time, delivering 3.3x speedups over SOTA on four datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiashen Cao
- 2. Karan Sarkar
- 3. Ramyad Hadidi
- 4. Joy Arulraj
- 5. Hyesoon Kim
Incoming Citations (Sorted by Pagerank)
Showing 14 of 14 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 182 | LEO - DB2's LEarning Optimizer | 2001 | VLDB | 0.00036962631 |
| 329 | Accelerating Machine Learning Inference with Probabilistic Predicates | 2018 | SIGMOD | 0.00027249545 |
| 333 | Neo: A Learned Query Optimizer | 2019 | VLDB | 0.00027206884 |
| 696 | BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics | 2020 | VLDB | 0.00018048935 |
| 1,388 | MIRIS: Fast Object Track Queries in Video | 2020 | SIGMOD | 0.00012260926 |
| 2,533 | DeepLens: Towards a Visual Data Management System | 2019 | CIDR | 8.5899934e-05 |
| 3,154 | The MemSQL Query Optimizer: A modern optimizer for real-time analytics in a distributed database | 2016 | VLDB | 7.4686089e-05 |
| 3,206 | Panorama: A Data System for Unbounded Vocabulary Querying over Video | 2020 | VLDB | 7.3826363e-05 |
| 3,620 | SVQ: Streaming Video Queries | 2019 | SIGMOD | 6.9084299e-05 |
| 4,269 | VSS: A Storage System for Video Analytics | 2021 | SIGMOD | 6.306798e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,620 | SVQ: Streaming Video Queries | 2019 | SIGMOD | 6.9084299e-05 |
| 4,567 | Optimizing Video Analytics with Declarative Model Relationships | 2023 | VLDB | 6.080526e-05 |
| 7,922 | Video-zilla: An Indexing Layer for Large-Scale Video Analytics | 2022 | SIGMOD | 4.615892e-05 |
| 9,341 | SketchQL: Video Moment Querying with a Visual Query Interface | 2024 | SIGMOD | 4.3554097e-05 |
| 10,944 | Predictive and Near-Optimal Sampling for View Materialization in Video Databases | 2024 | SIGMOD | 4.1945683e-05 |
| 10,503 | Self-Enhancing Video Data Management System for Compositional Events with Large Language Models | 2025 | SIGMOD | 4.1945683e-05 |
| 4,865 | OTIF: Efficient Tracker Pre-processing over Large Video Datasets | 2022 | SIGMOD | 5.8684353e-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 |
| 11,061 | Optimizing Video Queries with Declarative Clues | 2024 | VLDB | 4.1945683e-05 |