VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building
Summary: VOCALExplore: pay-as-you-go interactive system for building domain-specific video models that adaptively selects samples by exploiting observed label skew and frames representation/feature choice as a rising-bandit problem. Delivers near-optimal model quality with low visible latency (~1s/iteration) and no expensive preprocessing. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Maureen Daum
- 2. Enhao Zhang
- 3. Dong He
- 4. Stephen Mussmann
- 5. Brandon Haynes
- 6. Ranjay Krishna
- 7. Magdalena Balazinska
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,383 | EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions | 2023 | VLDB | 4.5307128e-05 |
| 10,503 | Self-Enhancing Video Data Management System for Compositional Events with Large Language Models | 2025 | SIGMOD | 4.1945683e-05 |
| 10,667 | Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse | 2025 | VLDB | 4.1945683e-05 |
| 11,284 | EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions | 2023 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 329 | Accelerating Machine Learning Inference with Probabilistic Predicates | 2018 | SIGMOD | 0.00027249545 |
| 696 | BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics | 2020 | VLDB | 0.00018048935 |
| 1,388 | MIRIS: Fast Object Track Queries in Video | 2020 | SIGMOD | 0.00012260926 |
| 3,206 | Panorama: A Data System for Unbounded Vocabulary Querying over Video | 2020 | VLDB | 7.3826363e-05 |
| 3,606 | EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views | 2022 | SIGMOD | 6.9260354e-05 |
| 4,567 | Optimizing Video Analytics with Declarative Model Relationships | 2023 | VLDB | 6.080526e-05 |
| 5,173 | FiGO: Fine-Grained Query Optimization in Video Analytics | 2022 | SIGMOD | 5.6447253e-05 |
| 6,130 | VOCAL: Video Organization and Interactive Compositional AnaLytics | 2022 | CIDR | 5.1962107e-05 |
| 8,714 | LANCET: Labeling Complex Data at Scale | 2021 | VLDB | 4.4619818e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,768 | DoveDB: A Declarative and Low-Latency Video Database | 2023 | VLDB | 4.2856106e-05 |
| 3,206 | Panorama: A Data System for Unbounded Vocabulary Querying over Video | 2020 | VLDB | 7.3826363e-05 |
| 11,284 | EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions | 2023 | VLDB | 4.1945683e-05 |
| 316 | NoScope: Optimizing Neural Network Queries over Video at Scale | 2017 | VLDB | 0.00027988668 |
| 3,620 | SVQ: Streaming Video Queries | 2019 | SIGMOD | 6.9084299e-05 |
| 9,341 | SketchQL: Video Moment Querying with a Visual Query Interface | 2024 | SIGMOD | 4.3554097e-05 |
| 8,383 | EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions | 2023 | VLDB | 4.5307128e-05 |
| 10,503 | Self-Enhancing Video Data Management System for Compositional Events with Large Language Models | 2025 | SIGMOD | 4.1945683e-05 |
| 4,225 | Vaas: Video Analytics At Scale | 2020 | VLDB | 6.3469943e-05 |
| 6,130 | VOCAL: Video Organization and Interactive Compositional AnaLytics | 2022 | CIDR | 5.1962107e-05 |