DeepLens: Towards a Visual Data Management System
Summary: DeepLens: VDMS prototype that stores/indexes DL predictions over images/video via a dataflow model decoupling models, queries, and data semantics. Shows VDMS must jointly optimize physical design and query planning to trade performance for accuracy, since choices can change both by orders of magnitude. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sanjay Krishnan
- 2. Adam Dziedzic
- 3. Aaron J. Elmore
Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,388 | MIRIS: Fast Object Track Queries in Video | 2020 | SIGMOD | 0.00012260926 |
| 1,657 | Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine | 2019 | CIDR | 0.00010987105 |
| 4,751 | ODIN: Automated Drift Detection and Recovery in Video Analytics | 2020 | VLDB | 5.9485403e-05 |
| 5,039 | VisualWorldDB: A DBMS for the Visual World | 2020 | CIDR | 5.7425824e-05 |
| 5,072 | Optimizing Machine Learning Inference Queries with Correlative Proxy Models | 2022 | VLDB | 5.7185674e-05 |
| 5,173 | FiGO: Fine-Grained Query Optimization in Video Analytics | 2022 | SIGMOD | 5.6447253e-05 |
| 5,214 | ThalamusDB: Approximate Query Processing on Multi-Modal Data | 2024 | SIGMOD | 5.624434e-05 |
| 6,182 | Top-K Deep Video Analytics: A Probabilistic Approach | 2021 | SIGMOD | 5.1682689e-05 |
| 9,415 | Declarative Data Serving: The Future of Machine Learning Inference on the Edge | 2021 | VLDB | 4.3441378e-05 |
| 9,770 | Everest: A Top-K Deep Video Analytics System | 2022 | SIGMOD | 4.2856106e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 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 |
| 359 | Self-Driving Database Management Systems | 2017 | CIDR | 0.0002592783 |
| 1,657 | Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine | 2019 | CIDR | 0.00010987105 |
| 2,280 | SMOKE: Fine-grained Lineage at Interactive Speed | 2018 | VLDB | 9.1111033e-05 |
| 2,828 | Automatic Physical Design Tuning: Workload as a Sequence | 2006 | SIGMOD | 8.0548516e-05 |
| 5,290 | LightDB: A DBMS for Virtual Reality Video | 2018 | VLDB | 5.5828169e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,503 | Self-Enhancing Video Data Management System for Compositional Events with Large Language Models | 2025 | SIGMOD | 4.1945683e-05 |
| 1,657 | Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine | 2019 | CIDR | 0.00010987105 |
| 3,293 | Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics | 2021 | VLDB | 7.2629834e-05 |
| 13,364 | Data Visualization Management Systems | 2015 | CIDR | - |
| 2,733 | The Case for Data Visualization Management Systems [Vision Paper] | 2014 | VLDB | 8.2078862e-05 |
| 3,658 | Towards a Hands-Free Query Optimizer through Deep Learning | 2019 | CIDR | 6.8704209e-05 |
| 8,287 | DeepVQL: Deep Video Queries on PostgreSQL | 2023 | VLDB | 4.5435639e-05 |
| 7,369 | Using VDMS to Index and Search 100M Images | 2021 | VLDB | 4.750437e-05 |
| 13,171 | Reimagining Deep Learning Systems Through the Lens of Data Systems | 2024 | VLDB | - |
| 11,061 | Optimizing Video Queries with Declarative Clues | 2024 | VLDB | 4.1945683e-05 |