Vaas: Video Analytics At Scale
Summary: Vaas is an interactive video-analytics system that represents workflows as composable dataflow queries mixing ML models, code, and primitives. Approximate query processing enables rapid exploration and query-output-based annotation, accelerating workflow design and model training at scale. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Favyen Bastani (Massachusetts Institute of Technology)
- 2. Oscar Moll (Massachusetts Institute of Technology)
- 3. Sam Madden (Massachusetts Institute of Technology)
BibTeX Citation
@article{bastani_vldb20,
title = {{Vaas: Video Analytics At Scale}},
author = {Bastani, Favyen and Moll, Oscar and Madden, Sam},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {2877--2880},
doi = {10.14778/3415478.3415498},
url = {https://doi.org/10.14778/3415478.3415498},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,650 | TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data | 2022 | SIGMOD | 7.1341771e-05 |
| 3,753 | VSS: A Storage System for Video Analytics | 2021 | SIGMOD | 7.0502734e-05 |
| 5,970 | VOCAL: Video Organization and Interactive Compositional AnaLytics | 2022 | CIDR | 5.9316412e-05 |
| 6,009 | Mixer: Efficiently Understanding and Retrieving Visual Content at Web-scale | 2021 | VLDB | 5.9148049e-05 |
| 7,447 | EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions | 2023 | VLDB | 5.5240718e-05 |
| 9,541 | DoveDB: A Declarative and Low-Latency Video Database | 2023 | VLDB | 5.1619246e-05 |
| 9,645 | Self-Enhancing Video Data Management System for Compositional Events with Large Language Models | 2025 | SIGMOD | 5.1453267e-05 |
| 10,589 | Query-Aware Path Inference from Spatial Videos | 2026 | SIGMOD | 4.9793485e-05 |
| 11,069 | KEN: An Execution Engine for Unstructured Database Systems | 2026 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 271 | NoScope: Optimizing Neural Network Queries over Video at Scale | 2017 | VLDB | 0.00022560564 |
| 281 | Accelerating Machine Learning Inference with Probabilistic Predicates | 2018 | SIGMOD | 0.00022295232 |
| 1,024 | MIRIS: Fast Object Track Queries in Video | 2020 | SIGMOD | 0.00012430491 |
| 1,617 | Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine | 2019 | CIDR | 0.00010057464 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,787 | EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views | 2022 | SIGMOD |
| 2 | 3,429 | SVQ: Streaming Video Queries | 2019 | SIGMOD |
| 3 | 1,617 | Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine | 2019 | CIDR |
| 4 | 9,645 | Self-Enhancing Video Data Management System for Compositional Events with Large Language Models | 2025 | SIGMOD |
| 5 | 13,823 | VISE: Vehicle Image Search Engine with Traffic Camera Images | 2019 | VLDB |
| 6 | 3,753 | VSS: A Storage System for Video Analytics | 2021 | SIGMOD |
| 7 | 2,710 | Panorama: A Data System for Unbounded Vocabulary Querying over Video | 2020 | VLDB |
| 8 | 4,287 | VIVA: An End-to-End System for Interactive Video Analytics | 2022 | CIDR |
| 9 | 5,970 | VOCAL: Video Organization and Interactive Compositional AnaLytics | 2022 | CIDR |
| 10 | 10,108 | VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building | 2023 | VLDB |