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Predictive and Near-Optimal Sampling for View Materialization in Video Databases
Summary: LEAP enables predictive MOT-based view materialization in video databases using lower-bound frame-sampling theory, a data-driven motion predictor, and a cross-frame associator. Across seven datasets, it achieves up to 9x fewer frames and 5x faster queries, enabling real-time throughput for 160 streams on a single RTX 3090Ti.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6828
- Venue
- SIGMOD
- Year
- 2024
- Pagerank
- 4.1945683e-05
- Overall Rank
- 10,944 | 23.87%
- DOI
-
10.1145/3639274
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 514 |
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning |
2019 |
SIGMOD |
0.0002124895 |
| 696 |
BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics |
2020 |
VLDB |
0.00018048935 |
| 782 |
QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning |
2019 |
VLDB |
0.00016729063 |
| 1,388 |
MIRIS: Fast Object Track Queries in Video |
2020 |
SIGMOD |
0.00012260926 |
| 3,293 |
Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics |
2021 |
VLDB |
7.2629834e-05 |
| 4,501 |
TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data |
2022 |
SIGMOD |
6.137686e-05 |
| 4,567 |
Optimizing Video Analytics with Declarative Model Relationships |
2023 |
VLDB |
6.080526e-05 |
| 4,712 |
Accelerating Approximate Aggregation Queries with Expensive Predicates |
2021 |
VLDB |
5.9787986e-05 |
| 4,865 |
OTIF: Efficient Tracker Pre-processing over Large Video Datasets |
2022 |
SIGMOD |
5.8684353e-05 |
| 5,135 |
Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning |
2022 |
SIGMOD |
5.6724721e-05 |
| 5,173 |
FiGO: Fine-Grained Query Optimization in Video Analytics |
2022 |
SIGMOD |
5.6447253e-05 |
| 6,182 |
Top-K Deep Video Analytics: A Probabilistic Approach |
2021 |
SIGMOD |
5.1682689e-05 |
| 7,922 |
Video-zilla: An Indexing Layer for Large-Scale Video Analytics |
2022 |
SIGMOD |
4.615892e-05 |
| 9,751 |
Co-movement Pattern Mining from Videos |
2024 |
VLDB |
4.2897489e-05 |
| 9,768 |
DoveDB: A Declarative and Low-Latency Video Database |
2023 |
VLDB |
4.2856106e-05 |
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