DeepVQL: Deep Video Queries on PostgreSQL
Summary: Extends PostgreSQL with DeepVQL, embedding UDFs for deep-learning-based object detection, tracking, and video analytics. Enables declarative SQL queries constrained by spatial regions and temporal durations to analyze moving objects (e.g., traffic) without a bespoke runtime. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dong June Lew
- 2. Kihyun Yoo
- 3. Kwang Woo Nam
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,103 | Query-Aware Path Inference from Spatial Videos | 2026 | SIGMOD | 4.1905499e-05 |
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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 |
|---|---|---|---|---|
| 332 | Accelerating Machine Learning Inference with Probabilistic Predicates | 2018 | SIGMOD | 0.00027173479 |
| 694 | BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics | 2020 | VLDB | 0.00018031141 |
| 1,390 | MIRIS: Fast Object Track Queries in Video | 2020 | SIGMOD | 0.00012242018 |
| 1,655 | Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine | 2019 | CIDR | 0.000109771 |
| 3,610 | EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views | 2022 | SIGMOD | 6.919859e-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 |
|---|---|---|---|---|
| 4,212 | SVQ++: Querying for Object Interactions in Video Streams | 2020 | SIGMOD | 6.3494444e-05 |
| 5,038 | VisualWorldDB: A DBMS for the Visual World | 2020 | CIDR | 5.7376543e-05 |
| 10,512 | Self-Enhancing Video Data Management System for Compositional Events with Large Language Models | 2025 | SIGMOD | 4.1905499e-05 |
| 4,947 | Evaluating Temporal Queries Over Video Feeds | 2021 | SIGMOD | 5.8107138e-05 |
| 11,352 | DeepO: A Learned Query Optimizer | 2022 | SIGMOD | 4.1905499e-05 |
| 9,346 | SketchQL: Video Moment Querying with a Visual Query Interface | 2024 | SIGMOD | 4.3512358e-05 |
| 2,536 | DeepLens: Towards a Visual Data Management System | 2019 | CIDR | 8.5817195e-05 |
| 11,064 | Optimizing Video Queries with Declarative Clues | 2024 | VLDB | 4.1905499e-05 |
| 3,624 | SVQ: Streaming Video Queries | 2019 | SIGMOD | 6.9013718e-05 |
| 9,770 | DoveDB: A Declarative and Low-Latency Video Database | 2023 | VLDB | 4.2815042e-05 |