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LightDB: A DBMS for Virtual Reality Video

Summary: LightDB is a DBMS for VAMR video that models data as a six-D light field (spherical, continuous, nonuniform) to meet latency/throughput demands. Declarative queries map to executable plans; prototype shows up to fourfold throughput vs prior work. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11799
Venue
VLDB
Year
2018
Pagerank
6.3652221e-05
Overall Rank
5,098 | 65.03%
DOI
10.14778/3231751.3231768

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{haynes_vldb18,
        title = {{LightDB: A DBMS for Virtual Reality Video}},
        author = {Haynes, Brandon and Mazumdar, Amrita and Alaghi, Armin and Balazinska, Magdalena and Ceze, Luis and Cheung, Alvin},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {10},
        pages = {1192--1205},
        doi = {10.14778/3231751.3231768},
        url = {https://doi.org/10.14778/3231751.3231768},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Rank Citing Paper Year Venue Pagerank
2,384 DeepLens: Towards a Visual Data Management System 2019 CIDR 8.6494525e-05
3,720 VSS: A Storage System for Video Analytics 2021 SIGMOD 7.1739329e-05
3,875 Visual Road: A Video Data Management Benchmark 2019 SIGMOD 7.0557272e-05
4,991 VisualWorldDB: A DBMS for the Visual World 2020 CIDR 6.410552e-05
5,789 Seiden: Revisiting Query Processing in Video Database Systems 2023 VLDB 6.0874367e-05
7,739 Video-zilla: An Indexing Layer for Large-Scale Video Analytics 2022 SIGMOD 5.5553554e-05
9,924 TVM: A Tile-based Video Management Framework 2024 VLDB 5.1955087e-05
10,670 MAST: Towards Efficient Analytical Query Processing on Point Cloud Data 2025 SIGMOD 5.093636e-05
11,499 Towards Auto-Generated Data Systems 2023 VLDB 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.

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