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Vaas: Video Analytics At Scale

Summary: Vaas is an interactive video-analytics system that represents workflows as composable dataflow queries mixing ML models, code, and primitives. Approximate query processing enables rapid exploration and query-output-based annotation, accelerating workflow design and model training at scale. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12340
Venue
VLDB
Year
2020
Pagerank
7.1487427e-05
Overall Rank
3,756 | 74.24%
DOI
10.14778/3415478.3415498

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{bastani_vldb20,
        title = {{Vaas: Video Analytics At Scale}},
        author = {Bastani, Favyen and Moll, Oscar and Madden, Sam},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {12},
        pages = {2877--2880},
        doi = {10.14778/3415478.3415498},
        url = {https://doi.org/10.14778/3415478.3415498},
        year = {2020}
}

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