Visual Road: A Video Data Management Benchmark
Summary: Visual Road provides a scalable video data management benchmark with a realistic, automatically generated, annotated video corpus and a city-scale data generator. It targets real-time, longitudinal analytics, traditional video, and 360-degree VDBMSs, enabling cross-system performance evaluation demonstrated on three recent systems. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Brandon Haynes (University of Washington)
- 2. Amrita Mazumdar (University of Washington)
- 3. Magdalena Balazinska (University of Washington)
- 4. Luis Ceze (University of Washington)
- 5. Alvin Cheung (University of Washington)
BibTeX Citation
@inproceedings{haynes_sigmod19,
title = {{Visual Road: A Video Data Management Benchmark}},
author = {Haynes, Brandon and Mazumdar, Amrita and Balazinska, Magdalena and Ceze, Luis and Cheung, Alvin},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3324955},
url = {https://dl.acm.org/doi/10.1145/3299869.3324955},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,759 | VSS: A Storage System for Video Analytics | 2021 | SIGMOD | 7.0248373e-05 |
| 4,494 | Evaluating Temporal Queries Over Video Feeds | 2021 | SIGMOD | 6.560668e-05 |
| 5,030 | VisualWorldDB: A DBMS for the Visual World | 2020 | CIDR | 6.2951049e-05 |
| 5,812 | Top-K Deep Video Analytics: A Probabilistic Approach | 2021 | SIGMOD | 5.9697648e-05 |
| 5,951 | VOCAL: Video Organization and Interactive Compositional AnaLytics | 2022 | CIDR | 5.9185041e-05 |
| 7,462 | EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions | 2023 | VLDB | 5.5065907e-05 |
| 8,719 | Challenges and Opportunities for Autonomous Vehicle Query Systems | 2021 | CIDR | 5.2705676e-05 |
| 9,576 | DoveDB: A Declarative and Low-Latency Video Database | 2023 | VLDB | 5.1424205e-05 |
| 10,120 | Co-movement Pattern Mining from Videos | 2024 | VLDB | 5.0638787e-05 |
| 10,662 | Query-Aware Path Inference from Spatial Videos | 2026 | SIGMOD | 4.9605343e-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 |
|---|---|---|---|---|
| 387 | The LDBC Social Network Benchmark: Interactive Workload | 2015 | SIGMOD | 0.00019360364 |
| 487 | BLOCKBENCH: A Framework for Analyzing Private Blockchains | 2017 | SIGMOD | 0.00017413439 |
| 596 | Linear Road: A Stream Data Management Benchmark | 2004 | VLDB | 0.00015766455 |
| 5,183 | LightDB: A DBMS for Virtual Reality Video | 2018 | VLDB | 6.2236736e-05 |
| 7,338 | Interactive Demonstration of Probabilistic Predicates | 2018 | SIGMOD | 5.5338268e-05 |
| 12,333 | VisualCloud Demonstration: A DBMS for Virtual Reality | 2017 | SIGMOD | 4.9605343e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,232 | Seiden: Revisiting Query Processing in Video Database Systems | 2023 | VLDB |
| 2 | 14,632 | VisDB: A System for Visualizing Large Databases | 1995 | SIGMOD |
| 3 | 5,476 | SeeDB: Visualizing Database Queries Efficiently | 2014 | VLDB |
| 4 | 10,167 | An Adaptive Benchmark for Modeling User Exploration of Large Datasets | 2025 | SIGMOD |
| 5 | 5,183 | LightDB: A DBMS for Virtual Reality Video | 2018 | VLDB |
| 6 | 9,576 | DoveDB: A Declarative and Low-Latency Video Database | 2023 | VLDB |
| 7 | 12,333 | VisualCloud Demonstration: A DBMS for Virtual Reality | 2017 | SIGMOD |
| 8 | 596 | Linear Road: A Stream Data Management Benchmark | 2004 | VLDB |
| 9 | 13,818 | Demonstration of Apperception: A Database Management System for Geospatial Video Data | 2021 | VLDB |
| 10 | 5,030 | VisualWorldDB: A DBMS for the Visual World | 2020 | CIDR |