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)
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Authors
- 1. Jaeho Bang (Georgia Institute of Technology)
- 2. Gaurav Tarlok Kakkar (Georgia Institute of Technology)
- 3. Pramod Chunduri (Georgia Institute of Technology)
- 4. Subrata Mitra (Adobe)
- 5. Joy Arulraj (Georgia Institute of Technology)
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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