VSS: A Storage System for Video Analytics
Summary: VSS decouples video analytics from storage as the VDBMS storage sublayer for layout, caching, and cross-camera deduplication. Granular on-disk layout, hot-region caching, and cross-view dedup reduce reads and storage, up to 54% read gains and 45% savings. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Brandon Haynes (Microsoft)
- 2. Maureen Daum (University of Washington)
- 3. Dong He (University of Washington)
- 4. Amrita Mazumdar (University of Washington)
- 5. Magdalena Balazinska (University of Washington)
- 6. Alvin Cheung (University of California Berkeley)
- 7. Luis Ceze (University of Washington)
BibTeX Citation
@inproceedings{haynes_sigmod21,
title = {{VSS: A Storage System for Video Analytics}},
author = {Haynes, Brandon and Daum, Maureen and He, Dong and Mazumdar, Amrita and Balazinska, Magdalena and Cheung, Alvin and Ceze, Luis},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3459242},
url = {https://dl.acm.org/doi/10.1145/3448016.3459242},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
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