DoveDB: A Declarative and Low-Latency Video Database
Summary: DoveDB introduces VMQL, an expressive declarative video query language combining model-oriented training/deployment with lightweight ingestion that extracts tracklets and builds semantic indexes. Supports multi-camera model deployment, MOT ingestion, and millisecond aggregation/top-k queries in a 120-camera simulation. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ziyang Xiao
- 2. Dongxiang Zhang
- 3. Zepeng Li
- 4. Sai Wu
- 5. Kian-Lee Tan
- 6. Gang Chen
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,103 | Query-Aware Path Inference from Spatial Videos | 2026 | SIGMOD | 4.1905499e-05 |
| 10,675 | Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse | 2025 | VLDB | 4.1905499e-05 |
| 10,947 | Predictive and Near-Optimal Sampling for View Materialization in Video Databases | 2024 | 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 |
|---|---|---|---|---|
| 1,390 | MIRIS: Fast Object Track Queries in Video | 2020 | SIGMOD | 0.00012242018 |
| 4,078 | Visual Road: A Video Data Management Benchmark | 2019 | SIGMOD | 6.4633815e-05 |
| 4,212 | SVQ++: Querying for Object Interactions in Video Streams | 2020 | SIGMOD | 6.3494444e-05 |
| 4,221 | Vaas: Video Analytics At Scale | 2020 | VLDB | 6.3414314e-05 |
| 4,865 | OTIF: Efficient Tracker Pre-processing over Large Video Datasets | 2022 | SIGMOD | 5.8627966e-05 |
| 8,242 | Query-Driven Video Event Processing for the Internet of Multimedia Things | 2021 | VLDB | 4.5467562e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,610 | EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views | 2022 | SIGMOD | 6.919859e-05 |
| 5,296 | LightDB: A DBMS for Virtual Reality Video | 2018 | VLDB | 5.5776987e-05 |
| 4,078 | Visual Road: A Video Data Management Benchmark | 2019 | SIGMOD | 6.4633815e-05 |
| 9,352 | SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches | 2024 | VLDB | 4.3490308e-05 |
| 3,624 | SVQ: Streaming Video Queries | 2019 | SIGMOD | 6.9013718e-05 |
| 13,270 | Demonstration of Apperception: A Database Management System for Geospatial Video Data | 2021 | VLDB | - |
| 9,346 | SketchQL: Video Moment Querying with a Visual Query Interface | 2024 | SIGMOD | 4.3512358e-05 |
| 11,064 | Optimizing Video Queries with Declarative Clues | 2024 | VLDB | 4.1905499e-05 |
| 5,038 | VisualWorldDB: A DBMS for the Visual World | 2020 | CIDR | 5.7376543e-05 |
| 8,280 | DeepVQL: Deep Video Queries on PostgreSQL | 2023 | VLDB | 4.5392079e-05 |