EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions [Technical Report]
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Abstract (arXiv)
We introduce EQUI-VOCAL: a new system that automatically synthesizes queries over videos from limited user interactions. The user only provides a handful of positive and negative examples of what they are looking for. EQUI-VOCAL utilizes these initial examples and additional ones collected through active learning to efficiently synthesize complex user queries. Our approach enables users to find events without database expertise, with limited labeling effort, and without declarative specifications or sketches. Core to EQUI-VOCAL's design is the use of spatio-temporal scene graphs in its data model and query language and a novel query synthesis approach that works on large and noisy video data. Our system outperforms two baseline systems -- in terms of F1 score, synthesis time, and robustness to noise -- and can flexibly synthesize complex queries that the baselines do not support.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Jan 2023.
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Citing papers per year: 2023: 1; 2024: 2; 2025: 3; 2026: 4.
10 papers.
- 2023Agile Modeling: From Concept to Classifier in Minutescited by 8
- 2024Multi-Modal Data Exploration via Language Agentscited by 7
- 2024Hydro: Adaptive Query Processing of ML Queriescited by 0
- 2025LazyVLM: Neuro-Symbolic Approach to Video Analyticscited by 0
- 2025TRACER: Efficient Object Re-Identification in Networked Cameras through Adaptive Query Processingcited by 0
- 2025KathDB: Explainable Multimodal Database Management System with Human-AI Collaborationcited by 0
- 2026Human-Data Interaction, Exploration, and Visualization in the AI Era: Challenges and Opportunitiescited by 0
- 2026Search over the Visual World: Persistent Visual Memory, Layered Indexes, and Source-Grounded Evidencecited by 0
- 2026KathDB-FAO: Synthesized Query Plans in a Multimodal DBMScited by 0
- 2026Hob-VL: A Benchmark for Visually Grounded Boolean Reasoningcited by 0
- 2026Hob-VL: A Benchmark for Visually Grounded Boolean Reasoning1 Oct 2026
- 2026KathDB-FAO: Synthesized Query Plans in a Multimodal DBMS23 Sep 2026
- 2026Search over the Visual World: Persistent Visual Memory, Layered Indexes, and Source-Grounded Evidence8 Aug 2026
- 2026Human-Data Interaction, Exploration, and Visualization in the AI Era: Challenges and Opportunities4 Mar 2026
- 2025KathDB: Explainable Multimodal Database Management System with Human-AI Collaboration11 Dec 2025
- 2025TRACER: Efficient Object Re-Identification in Networked Cameras through Adaptive Query Processing13 Jul 2025
- 2025LazyVLM: Neuro-Symbolic Approach to Video Analytics27 May 2025
- 2024Multi-Modal Data Exploration via Language Agents24 Dec 2024
- 2024Hydro: Adaptive Query Processing of ML Queries22 Mar 2024
- 2023Agile Modeling: From Concept to Classifier in Minutes25 Feb 2023