ODIN: Automated Drift Detection and Recovery in Video Analytics
Summary: ODIN automates drift detection and recovery in video analytics using adversarial autoencoders to model high-dimensional image distributions. Unsupervised drift detection contrasts current vs. prior distributions; on drift, it deploys specialized models and an ensemble selector to boost accuracy, throughput, and memory. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Abhijit Suprem
- 2. Joy Arulraj
- 3. Calton Pu
- 4. Joao Ferreira
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,269 | VSS: A Storage System for Video Analytics | 2021 | SIGMOD | 6.306798e-05 |
| 5,135 | Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning | 2022 | SIGMOD | 5.6724721e-05 |
| 8,712 | ANN Softmax: Acceleration of Extreme Classification Training | 2022 | VLDB | 4.4626362e-05 |
| 10,382 | MAST: Towards Efficient Analytical Query Processing on Point Cloud Data | 2025 | SIGMOD | 4.1945683e-05 |
| 10,667 | Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse | 2025 | VLDB | 4.1945683e-05 |
| 11,233 | An Experimental Evaluation of Process Concept Drift Detection | 2023 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 161 | LOF: Identifying Density-Based Local Outliers | 2000 | SIGMOD | 0.00039846974 |
| 254 | Snorkel: Rapid Training Data Creation with Weak Supervision | 2018 | VLDB | 0.00030540555 |
| 316 | NoScope: Optimizing Neural Network Queries over Video at Scale | 2017 | VLDB | 0.00027988668 |
| 329 | Accelerating Machine Learning Inference with Probabilistic Predicates | 2018 | SIGMOD | 0.00027249545 |
| 605 | Locality-Sensitive Hashing Scheme Based on Dynamic Collision Counting | 2012 | SIGMOD | 0.000193396 |
| 696 | BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics | 2020 | VLDB | 0.00018048935 |
| 1,045 | Adaptive Stream Resource Management Using Kalman Filters | 2004 | SIGMOD | 0.00014472777 |
| 2,533 | DeepLens: Towards a Visual Data Management System | 2019 | CIDR | 8.5899934e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,103 | Query-Aware Path Inference from Spatial Videos | 2026 | SIGMOD | 4.1945683e-05 |
| 6,719 | DeepTEA: Effective and Efficient Online Time-dependent Trajectory Outlier Detection | 2022 | VLDB | 4.9504873e-05 |
| 8,284 | Origin-Destination Travel Time Oracle for Map-based Services | 2023 | SIGMOD | 4.5435639e-05 |
| 6,182 | Top-K Deep Video Analytics: A Probabilistic Approach | 2021 | SIGMOD | 5.1682689e-05 |
| 8,157 | TOD: GPU-accelerated Outlier Detection via Tensor Operations | 2023 | VLDB | 4.5730908e-05 |
| 11,052 | Efficiently Mitigating the Impact of Data Drift on Machine Learning Pipelines | 2024 | VLDB | 4.1945683e-05 |
| 4,762 | METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection | 2024 | VLDB | 5.9395463e-05 |
| 4,865 | OTIF: Efficient Tracker Pre-processing over Large Video Datasets | 2022 | SIGMOD | 5.8684353e-05 |
| 4,456 | AutoOD: Automatic Outlier Detection | 2023 | SIGMOD | 6.1704203e-05 |
| 4,554 | A Demonstration of AutoOD: A Self-Tuning Anomaly Detection System | 2022 | VLDB | 6.0911296e-05 |