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We introduce EQUI-VOCAL: a new system that automatically synthesizes queriesover videos from limited user interactions. The user only provides a handful ofpositive and negative examples of what they are looking for. EQUI-VOCALutilizes these initial examples and additional ones collected through activelearning to efficiently synthesize complex user queries. Our approach enablesusers to find events without database expertise, with limited labeling effort,and without declarative specifications or sketches. Core to EQUI-VOCAL's designis the use of spatio-temporal scene graphs in its data model and query languageand a novel query synthesis approach that works on large and noisy video data.Our system outperforms two baseline systems -- in terms of F1 score, synthesistime, and robustness to noise -- and can flexibly synthesize complex queriesthat the baselines do not support.

EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions [Technical Report]