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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
h81e95355c521c959
Venue
SIGMOD
Year
2025
Pagerank
5.1453267e-05
Overall Rank
9,645 | 35.16%
DOI
10.1145/3725352

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhang_sigmod25,
        title = {{Self-Enhancing Video Data Management System for Compositional Events with Large Language Models}},
        author = {Zhang, Enhao and Sullivan, Nicole and Haynes, Brandon and Krishna, Ranjay and Balazinska, Magdalena},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3725352},
        url = {https://dl.acm.org/doi/10.1145/3725352},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,498 ScaleDoc: Scaling LLM-based Predicates over Large Document Collections 2026 SIGMOD 4.9793485e-05
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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
129 Efficient and Extensible Algorithms for Multi Query Optimization 2000 SIGMOD 0.0003040756
174 Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation 2024 VLDB 0.00026790979
281 Accelerating Machine Learning Inference with Probabilistic Predicates 2018 SIGMOD 0.00022295232
541 BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics 2020 VLDB 0.00016657685
923 Materialized View Selection and Maintenance Using Multi-Query Optimization 2001 SIGMOD 0.00013064753
1,024 MIRIS: Fast Object Track Queries in Video 2020 SIGMOD 0.00012430491
1,924 ReStore: Reusing Results of MapReduce Jobs 2012 VLDB 9.3687009e-05
1,932 CHORUS: Foundation Models for Unified Data Discovery and Exploration 2024 VLDB 9.34643e-05
2,787 EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views 2022 SIGMOD 8.0158999e-05
3,411 Spatial and Temporal Constrained Ranked Retrieval over Videos 2022 VLDB 7.3253532e-05
3,429 SVQ: Streaming Video Queries 2019 SIGMOD 7.306047e-05
3,650 TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data 2022 SIGMOD 7.1341771e-05
3,806 Vaas: Video Analytics At Scale 2020 VLDB 7.0107906e-05
4,293 A Method for Optimizing Opaque Filter Queries 2020 SIGMOD 6.6819917e-05
4,775 Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning 2022 SIGMOD 6.4193428e-05
5,211 Seiden: Revisiting Query Processing in Video Database Systems 2023 VLDB 6.2253642e-05
5,551 Aero: Adaptive Query Processing of ML Queries 2025 SIGMOD 6.0872198e-05
5,970 VOCAL: Video Organization and Interactive Compositional AnaLytics 2022 CIDR 5.9316412e-05
6,583 Extract-Transform-Load for Video Streams 2023 VLDB 5.7438181e-05
7,009 Video-zilla: An Indexing Layer for Large-Scale Video Analytics 2022 SIGMOD 5.6222568e-05
7,100 DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation 2022 VLDB 5.601767e-05
7,447 EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions 2023 VLDB 5.5240718e-05
9,315 Spatialyze: A Geospatial Video Analytics System with Spatial-Aware Optimizations 2024 VLDB 5.1958747e-05
10,108 VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building 2023 VLDB 5.0789354e-05
11,793 EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions 2023 VLDB 4.9793485e-05
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