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 |
|---|---|---|---|---|
| 8,382 | EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions | 2023 | VLDB | 4.5263687e-05 |
| 10,512 | Self-Enhancing Video Data Management System for Compositional Events with Large Language Models | 2025 | SIGMOD | 4.1905499e-05 |
| 10,675 | Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse | 2025 | VLDB | 4.1905499e-05 |
| 11,286 | EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions | 2023 | VLDB | 4.1905499e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 332 | Accelerating Machine Learning Inference with Probabilistic Predicates | 2018 | SIGMOD | 0.00027173479 |
| 694 | BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics | 2020 | VLDB | 0.00018031141 |
| 1,390 | MIRIS: Fast Object Track Queries in Video | 2020 | SIGMOD | 0.00012242018 |
| 3,212 | Panorama: A Data System for Unbounded Vocabulary Querying over Video | 2020 | VLDB | 7.3772955e-05 |
| 3,610 | EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views | 2022 | SIGMOD | 6.919859e-05 |
| 4,565 | Optimizing Video Analytics with Declarative Model Relationships | 2023 | VLDB | 6.0746821e-05 |
| 5,168 | FiGO: Fine-Grained Query Optimization in Video Analytics | 2022 | SIGMOD | 5.6446115e-05 |
| 6,122 | VOCAL: Video Organization and Interactive Compositional AnaLytics | 2022 | CIDR | 5.1966758e-05 |
| 8,713 | LANCET: Labeling Complex Data at Scale | 2021 | VLDB | 4.4577046e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,770 | DoveDB: A Declarative and Low-Latency Video Database | 2023 | VLDB | 4.2815042e-05 |
| 3,212 | Panorama: A Data System for Unbounded Vocabulary Querying over Video | 2020 | VLDB | 7.3772955e-05 |
| 11,286 | EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions | 2023 | VLDB | 4.1905499e-05 |
| 317 | NoScope: Optimizing Neural Network Queries over Video at Scale | 2017 | VLDB | 0.0002798145 |
| 3,624 | SVQ: Streaming Video Queries | 2019 | SIGMOD | 6.9013718e-05 |
| 9,346 | SketchQL: Video Moment Querying with a Visual Query Interface | 2024 | SIGMOD | 4.3512358e-05 |
| 8,382 | EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions | 2023 | VLDB | 4.5263687e-05 |
| 10,512 | Self-Enhancing Video Data Management System for Compositional Events with Large Language Models | 2025 | SIGMOD | 4.1905499e-05 |
| 4,221 | Vaas: Video Analytics At Scale | 2020 | VLDB | 6.3414314e-05 |
| 6,122 | VOCAL: Video Organization and Interactive Compositional AnaLytics | 2022 | CIDR | 5.1966758e-05 |