Database Paper Browser

Back to papers

MAST: Towards Efficient Analytical Query Processing on Point Cloud Data

Summary: MAST enables approximate analytics on point clouds by sampling core frames under a budget to minimize DL calls. It fuses multi-agent RL sampling with a spatio-temporal index to accelerate PC retrieval and aggregates, with provable error bounds. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7048
Venue
SIGMOD
Year
2025
Pagerank
4.1905499e-05
Overall Rank
10,394 | 27.77%
DOI
10.1145/3709702

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,447 Demonstrating MAST: An Efficient System for Point Cloud Data Analytics 2025 SIGMOD 4.1905499e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 24 of 24 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 Neo: A Learned Query Optimizer 2019 VLDB 0.00027301488
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
3,553 Approximate Selection with Guarantees using Proxies 2020 VLDB 6.9763548e-05
3,599 Spatial and Temporal Constrained Ranked Retrieval over Videos 2022 VLDB 6.92963e-05
3,610 EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views 2022 SIGMOD 6.919859e-05
4,174 Ganos: A Multidimensional, Dynamic, and Scene-Oriented Cloud-Native Spatial Database Engine 2022 VLDB 6.3775863e-05
4,492 TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data 2022 SIGMOD 6.1374891e-05
4,642 VIVA: An End-to-End System for Interactive Video Analytics 2022 CIDR 6.0214283e-05
4,703 Accelerating Approximate Aggregation Queries with Expensive Predicates 2021 VLDB 5.9793615e-05
4,749 ODIN: Automated Drift Detection and Recovery in Video Analytics 2020 VLDB 5.9428569e-05
4,909 A Method for Optimizing Opaque Filter Queries 2020 SIGMOD 5.8354189e-05
5,168 FiGO: Fine-Grained Query Optimization in Video Analytics 2022 SIGMOD 5.6446115e-05
5,232 Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning 2022 SIGMOD 5.6094155e-05
5,296 LightDB: A DBMS for Virtual Reality Video 2018 VLDB 5.5776987e-05
5,463 The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data 2023 SIGMOD 5.4920768e-05
6,306 Seiden: Revisiting Query Processing in Video Database Systems 2023 VLDB 5.1146055e-05
6,868 Extract-Transform-Load for Video Streams 2023 VLDB 4.8982283e-05
7,911 Accelerating Aggregation Queries on Unstructured Streams of Data 2023 VLDB 4.6143141e-05
8,089 Towards Designing and Learning Piecewise Space-Filling Curves 2023 VLDB 4.5855593e-05
8,646 Optimizing Video Selection LIMIT Queries With Commonsense Knowledge 2024 VLDB 4.4720866e-05
9,352 SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches 2024 VLDB 4.3490308e-05
9,361 Interactive Demonstration of EVA 2023 VLDB 4.3475379e-05
9,750 Co-movement Pattern Mining from Videos 2024 VLDB 4.2856385e-05
Previous Page 1 / 1 Next

Semantically Similar Papers