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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
- 7267
- Venue
- SIGMOD
- Year
- 2025
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,512 | 26.95%
- 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 |
0.00037637319 |
| 332 |
Accelerating Machine Learning Inference with Probabilistic Predicates |
2018 |
SIGMOD |
0.00027173479 |
| 366 |
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation |
2024 |
VLDB |
0.00025580097 |
| 694 |
BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics |
2020 |
VLDB |
0.00018031141 |
| 1,110 |
Materialized View Selection and Maintenance Using Multi-Query Optimization |
2001 |
SIGMOD |
0.00013902997 |
| 1,390 |
MIRIS: Fast Object Track Queries in Video |
2020 |
SIGMOD |
0.00012242018 |
| 2,211 |
ReStore: Reusing Results of MapReduce Jobs |
2012 |
VLDB |
9.2823037e-05 |
| 3,003 |
Chorus: Foundation Models for Unified Data Discovery and Exploration |
2024 |
VLDB |
7.7358219e-05 |
| 3,599 |
Spatial and Temporal Constrained Ranked Retrieval over Videos |
2022 |
VLDB |
6.92963e-05 |
| 3,610 |
EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views |
2022 |
SIGMOD |
6.919859e-05 |
| 3,624 |
SVQ: Streaming Video Queries |
2019 |
SIGMOD |
6.9013718e-05 |
| 4,221 |
Vaas: Video Analytics At Scale |
2020 |
VLDB |
6.3414314e-05 |
| 4,492 |
TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data |
2022 |
SIGMOD |
6.1374891e-05 |
| 4,909 |
A Method for Optimizing Opaque Filter Queries |
2020 |
SIGMOD |
5.8354189e-05 |
| 5,232 |
Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning |
2022 |
SIGMOD |
5.6094155e-05 |
| 6,004 |
DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation |
2022 |
VLDB |
5.2365238e-05 |
| 6,122 |
VOCAL: Video Organization and Interactive Compositional AnaLytics |
2022 |
CIDR |
5.1966758e-05 |
| 6,306 |
Seiden: Revisiting Query Processing in Video Database Systems |
2023 |
VLDB |
5.1146055e-05 |
| 6,868 |
Extract-Transform-Load for Video Streams |
2023 |
VLDB |
4.8982283e-05 |
| 7,334 |
Aero: Adaptive Query Processing of ML Queries |
2025 |
SIGMOD |
4.7538944e-05 |
| 7,922 |
Video-zilla: An Indexing Layer for Large-Scale Video Analytics |
2022 |
SIGMOD |
4.6114931e-05 |
| 8,382 |
EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions |
2023 |
VLDB |
4.5263687e-05 |
| 9,129 |
Spatialyze: A Geospatial Video Analytics System with Spatial-Aware Optimizations |
2024 |
VLDB |
4.3861016e-05 |
| 9,771 |
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building |
2023 |
VLDB |
4.2815042e-05 |
| 11,286 |
EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions |
2023 |
VLDB |
4.1905499e-05 |
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EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions |
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VLDB |
4.5263687e-05 |
| 6,122 |
VOCAL: Video Organization and Interactive Compositional AnaLytics |
2022 |
CIDR |
5.1966758e-05 |