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Self-Enhancing Video Data Management System for Compositional Events with Large Language Models
Summary: VOCAL-UDF enables compositional video queries without predefined modules via auto-generated UDFs in an LLM-based model. It supports program UDFs and distilled UDFs, generates candidates to resolve intent, and uses active learning to select the best.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 7266
- Venue
- SIGMOD
- Year
- 2025
- Pagerank
- 4.1945683e-05
- Overall Rank
- 10,503 | 26.94%
- DOI
-
10.1145/3725352
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Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 25 of 25 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 179 |
Efficient and Extensible Algorithms for Multi Query Optimization |
2000 |
SIGMOD |
0.00037672155 |
| 329 |
Accelerating Machine Learning Inference with Probabilistic Predicates |
2018 |
SIGMOD |
0.00027249545 |
| 369 |
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation |
2024 |
VLDB |
0.0002547515 |
| 696 |
BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics |
2020 |
VLDB |
0.00018048935 |
| 1,112 |
Materialized View Selection and Maintenance Using Multi-Query Optimization |
2001 |
SIGMOD |
0.00013917776 |
| 1,388 |
MIRIS: Fast Object Track Queries in Video |
2020 |
SIGMOD |
0.00012260926 |
| 2,205 |
ReStore: Reusing Results of MapReduce Jobs |
2012 |
VLDB |
9.2920002e-05 |
| 3,015 |
Chorus: Foundation Models for Unified Data Discovery and Exploration |
2024 |
VLDB |
7.7092391e-05 |
| 3,604 |
Spatial and Temporal Constrained Ranked Retrieval over Videos |
2022 |
VLDB |
6.9301368e-05 |
| 3,606 |
EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views |
2022 |
SIGMOD |
6.9260354e-05 |
| 3,620 |
SVQ: Streaming Video Queries |
2019 |
SIGMOD |
6.9084299e-05 |
| 4,225 |
Vaas: Video Analytics At Scale |
2020 |
VLDB |
6.3469943e-05 |
| 4,501 |
TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data |
2022 |
SIGMOD |
6.137686e-05 |
| 4,909 |
A Method for Optimizing Opaque Filter Queries |
2020 |
SIGMOD |
5.8338804e-05 |
| 5,135 |
Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning |
2022 |
SIGMOD |
5.6724721e-05 |
| 6,000 |
DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation |
2022 |
VLDB |
5.2415551e-05 |
| 6,130 |
VOCAL: Video Organization and Interactive Compositional AnaLytics |
2022 |
CIDR |
5.1962107e-05 |
| 6,315 |
Seiden: Revisiting Query Processing in Video Database Systems |
2023 |
VLDB |
5.1142298e-05 |
| 6,877 |
Extract-Transform-Load for Video Streams |
2023 |
VLDB |
4.8974054e-05 |
| 7,338 |
Aero: Adaptive Query Processing of ML Queries |
2025 |
SIGMOD |
4.7584583e-05 |
| 7,922 |
Video-zilla: An Indexing Layer for Large-Scale Video Analytics |
2022 |
SIGMOD |
4.615892e-05 |
| 8,383 |
EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions |
2023 |
VLDB |
4.5307128e-05 |
| 9,129 |
Spatialyze: A Geospatial Video Analytics System with Spatial-Aware Optimizations |
2024 |
VLDB |
4.3903093e-05 |
| 9,769 |
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building |
2023 |
VLDB |
4.2856106e-05 |
| 11,284 |
EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions |
2023 |
VLDB |
4.1945683e-05 |
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| 4,950 |
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DeepLens: Towards a Visual Data Management System |
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7.3826363e-05 |
| 10,667 |
Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse |
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4.1945683e-05 |
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| 11,061 |
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| 8,383 |
EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions |
2023 |
VLDB |
4.5307128e-05 |
| 6,130 |
VOCAL: Video Organization and Interactive Compositional AnaLytics |
2022 |
CIDR |
5.1962107e-05 |