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VOCAL: Video Organization and Interactive Compositional AnaLytics

Summary: VOCAL: a VDBMS for interactive organization, exploration, and cleaning of heterogeneous video corpora without requiring clean data or pretrained detectors. Supports efficient compositional spatiotemporal queries over multi-object events via optimizations that reduce manual labeling and query costs. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
452
Venue
CIDR
Year
2022
Pagerank
6.0255527e-05
Overall Rank
5,966 | 59.07%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{daum_cidr22,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '22},
        title = {{VOCAL: Video Organization and Interactive Compositional AnaLytics}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Daum, Maureen and Zhang, Enhao and He, Dong and Balazinska, Magdalena and Haynes, Brandon and Krishna, Ranjay and Craig, Apryle and Wirsing, Aaron},
        year = {2022}
}

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