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EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions

Summary: EQUI-VOCAL synthesizes compositional, declarative video queries via few-shot user inputs (few positives/negatives) plus selective sampling of additional labels, enabling retrieval of complex events without manual query construction. Demo provides a GUI for hands-on query synthesis and exploration of hyperparameter and label-noise effects on retrieval performance. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13432
Venue
VLDB
Year
2023
Pagerank
5.093636e-05
Overall Rank
11,483 | 21.22%
DOI
10.14778/3611540.3611600

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Authors

BibTeX Citation

@article{zhang_vldb23,
        title = {{EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions}},
        author = {Zhang, Enhao and Daum, Maureen and He, Dong and Ganti, Manasi and Haynes, Brandon and Krishna, Ranjay and Balazinska, Magdalena},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {12},
        pages = {3978--3981},
        doi = {10.14778/3611540.3611600},
        url = {https://doi.org/10.14778/3611540.3611600},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
9,464 Self-Enhancing Video Data Management System for Compositional Events with Large Language Models 2025 SIGMOD 5.2634238e-05
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