Demonstration of Apperception: A Database Management System for Geospatial Video Data
Summary: Apperception is a DBMS for jointly modeling and querying multiple geospatial video streams across space and time, exposing observed entities through a unified programming interface. Its demo showcases real-time retrieval of metadata and rendered video, plus performance gains over isolated video-processing workflows. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Yongming Ge (University of California Berkeley)
- 2. Vanessa Lin (University of California Berkeley)
- 3. Maureen Daum (University of Washington)
- 4. Brandon Haynes (Microsoft)
- 5. Alvin Cheung (University of California Berkeley)
- 6. Magdalena Balazinska (University of Washington)
BibTeX Citation
@article{ge_vldb21,
title = {{Demonstration of Apperception: A Database Management System for Geospatial Video Data}},
author = {Ge, Yongming and Lin, Vanessa and Daum, Maureen and Haynes, Brandon and Cheung, Alvin and Balazinska, Magdalena},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {2767--2770},
doi = {10.14778/3476311.3476340},
url = {https://doi.org/10.14778/3476311.3476340},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,144 | Spatialyze: A Geospatial Video Analytics System with Spatial-Aware Optimizations | 2024 | VLDB | 5.315132e-05 |
| 11,499 | Towards Auto-Generated Data Systems | 2023 | VLDB | 5.093636e-05 |
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