DoveDB: A Declarative and Low-Latency Video Database
Summary: DoveDB introduces VMQL, a declarative language unifying video-model training, deployment, tracking, and analytics. Lightweight tracklet ingestion and semantic indexes enable low-latency aggregation/top-k queries across large camera networks. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ziyang Xiao (Zhejiang University)
- 2. Dongxiang Zhang (Zhejiang University)
- 3. Zepeng Li (Zhejiang University)
- 4. Sai Wu (Zhejiang University)
- 5. Kian-Lee Tan (National University of Singapore)
- 6. Gang Chen (Zhejiang University)
BibTeX Citation
@article{xiao_vldb23,
title = {{DoveDB: A Declarative and Low-Latency Video Database}},
author = {Xiao, Ziyang and Zhang, Dongxiang and Li, Zepeng and Wu, Sai and Tan, Kian-Lee and Chen, Gang},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {12},
pages = {3906--3909},
doi = {10.14778/3611540.3611582},
url = {https://doi.org/10.14778/3611540.3611582},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,393 | Query-Aware Path Inference from Spatial Videos | 2026 | SIGMOD | 5.093636e-05 |
| 10,917 | Deja Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse | 2025 | VLDB | 5.093636e-05 |
| 11,162 | Predictive and Near-Optimal Sampling for View Materialization in Video Databases | 2024 | SIGMOD | 5.093636e-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 |
|---|---|---|---|---|
| 1,042 | MIRIS: Fast Object Track Queries in Video | 2020 | SIGMOD | 0.00012451966 |
| 3,756 | Vaas: Video Analytics At Scale | 2020 | VLDB | 7.1487427e-05 |
| 3,875 | Visual Road: A Video Data Management Benchmark | 2019 | SIGMOD | 7.0557272e-05 |
| 4,213 | SVQ++: Querying for Object Interactions in Video Streams | 2020 | SIGMOD | 6.8279962e-05 |
| 4,298 | OTIF: Efficient Tracker Pre-processing over Large Video Datasets | 2022 | SIGMOD | 6.7750533e-05 |
| 8,470 | Query-Driven Video Event Processing for the Internet of Multimedia Things | 2021 | VLDB | 5.4183553e-05 |
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