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Seiden: Revisiting Query Processing in Video Database Systems

Summary: Notes modern oracle CV models rival or exceed proxy latency, so Seiden builds a query-agnostic index by running the oracle on a subset of frames. At query time it uses exploration–exploitation sampling and temporal continuity to answer queries faster and more accurately than SoTA (≈6.6× speedup). (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13266
Venue
VLDB
Year
2023
Pagerank
6.0874367e-05
Overall Rank
5,789 | 60.29%
DOI
10.14778/3598581.3598599

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{bang_vldb23,
        title = {{Seiden: Revisiting Query Processing in Video Database Systems}},
        author = {Bang, Jaeho and Kakkar, Gaurav Tarlok and Chunduri, Pramod and Mitra, Subrata and Arulraj, Joy},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {9},
        pages = {2289--2301},
        doi = {10.14778/3598581.3598599},
        url = {https://doi.org/10.14778/3598581.3598599},
        year = {2023}
}

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