| 2,295 |
ThalamusDB: Approximate Query Processing on Multi-Modal Data |
2024 |
SIGMOD |
8.6822982e-05 |
| 2,773 |
Approximate Selection with Guarantees using Proxies |
2020 |
VLDB |
8.0318294e-05 |
| 2,787 |
EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views |
2022 |
SIGMOD |
8.0121053e-05 |
| 2,909 |
Semantic Operators and Their Optimization: Enabling LLM-Based Data Processing with Accuracy Guarantees in LOTUS |
2025 |
VLDB |
7.8705905e-05 |
| 3,049 |
Abacus: A Cost-Based Optimizer for Semantic Operator Systems |
2026 |
VLDB |
7.7087759e-05 |
| 3,220 |
Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics |
2021 |
VLDB |
7.5172795e-05 |
| 3,411 |
Spatial and Temporal Constrained Ranked Retrieval over Videos |
2022 |
VLDB |
7.3218855e-05 |
| 3,508 |
Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures |
2023 |
VLDB |
7.2455881e-05 |
| 3,640 |
TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data |
2022 |
SIGMOD |
7.1410511e-05 |
| 3,754 |
VSS: A Storage System for Video Analytics |
2021 |
SIGMOD |
7.0473286e-05 |
| 3,756 |
Accelerating Approximate Aggregation Queries with Expensive Predicates |
2021 |
VLDB |
7.0456217e-05 |
| 3,780 |
Optimizing Video Analytics with Declarative Model Relationships |
2023 |
VLDB |
7.0225859e-05 |
| 3,877 |
FiGO: Fine-Grained Query Optimization in Video Analytics |
2022 |
SIGMOD |
6.9496983e-05 |
| 3,971 |
Optimizing Machine Learning Inference Queries with Correlative Proxy Models |
2022 |
VLDB |
6.8868815e-05 |
| 4,273 |
VIVA: An End-to-End System for Interactive Video Analytics |
2022 |
CIDR |
6.6895276e-05 |
| 4,778 |
Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning |
2022 |
SIGMOD |
6.4165071e-05 |
| 5,046 |
ODIN: Automated Drift Detection and Recovery in Video Analytics |
2020 |
VLDB |
6.2972614e-05 |
| 5,214 |
Seiden: Revisiting Query Processing in Video Database Systems |
2023 |
VLDB |
6.2224191e-05 |
| 5,553 |
Aero: Adaptive Query Processing of ML Queries |
2025 |
SIGMOD |
6.0843382e-05 |
| 5,805 |
Top-K Deep Video Analytics: A Probabilistic Approach |
2021 |
SIGMOD |
5.9861675e-05 |
| 5,948 |
VOCAL: Video Organization and Interactive Compositional AnaLytics |
2022 |
CIDR |
5.934521e-05 |
| 6,008 |
Mixer: Efficiently Understanding and Retrieving Visual Content at Web-scale |
2021 |
VLDB |
5.9125335e-05 |
| 6,192 |
VergeDB: A Database for IoT Analytics on Edge Devices |
2021 |
CIDR |
5.8540507e-05 |
| 6,586 |
Extract-Transform-Load for Video Streams |
2023 |
VLDB |
5.741099e-05 |
| 7,010 |
Video-zilla: An Indexing Layer for Large-Scale Video Analytics |
2022 |
SIGMOD |
5.6195953e-05 |
| 7,398 |
Accelerating Aggregation Queries on Unstructured Streams of Data |
2023 |
VLDB |
5.5342864e-05 |
| 7,451 |
EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions |
2023 |
VLDB |
5.5214568e-05 |
| 8,526 |
Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees |
2026 |
SIGMOD |
5.3215522e-05 |
| 8,625 |
Query-Driven Video Event Processing for the Internet of Multimedia Things |
2021 |
VLDB |
5.2994589e-05 |
| 8,694 |
DeepVQL: Deep Video Queries on PostgreSQL |
2023 |
VLDB |
5.2880532e-05 |
| 8,699 |
Challenges and Opportunities for Autonomous Vehicle Query Systems |
2021 |
CIDR |
5.2880532e-05 |
| 8,757 |
Optimizing Video Selection LIMIT Queries With Commonsense Knowledge |
2024 |
VLDB |
5.2827519e-05 |
| 9,548 |
Controlled Intentional Degradation in Analytical Video Systems |
2022 |
SIGMOD |
5.159717e-05 |
| 9,597 |
SketchQL: Video Moment Querying with a Visual Query Interface |
2024 |
SIGMOD |
5.1542966e-05 |
| 9,610 |
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches |
2024 |
VLDB |
5.1517785e-05 |
| 9,631 |
Interactive Demonstration of EVA |
2023 |
VLDB |
5.1468222e-05 |
| 9,653 |
Self-Enhancing Video Data Management System for Compositional Events with Large Language Models |
2025 |
SIGMOD |
5.142891e-05 |
| 10,048 |
The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format |
2024 |
SIGMOD |
5.0896901e-05 |
| 10,111 |
TVM: A Tile-based Video Management Framework |
2024 |
VLDB |
5.0765311e-05 |
| 10,112 |
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building |
2023 |
VLDB |
5.0765311e-05 |
| 10,113 |
Everest: A Top-K Deep Video Analytics System |
2022 |
SIGMOD |
5.0765311e-05 |
| 10,148 |
Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics |
2026 |
CIDR |
5.0691578e-05 |
| 10,198 |
Task Cascades for Efficient Unstructured Data Processing |
2026 |
SIGMOD |
5.0599411e-05 |
| 10,199 |
Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees |
2026 |
VLDB |
5.0599411e-05 |
| 10,414 |
Accelerating Approximate Analytical Join Queries over Unstructured Data with Statistical Guarantees |
2026 |
SIGMOD |
4.9769913e-05 |
| 10,849 |
Craw: A Unified and Efficient Querying Framework for Large-Scale Video Datasets |
2026 |
VLDB |
4.9769913e-05 |
| 10,867 |
Sema: A High-performance System for LLM-based Semantic Query Processing |
2026 |
VLDB |
4.9769913e-05 |
| 10,885 |
ConRAD: Conformal Risk-Aware Neural Databases |
2026 |
VLDB |
4.9769913e-05 |
| 11,120 |
MAST: Towards Efficient Analytical Query Processing on Point Cloud Data |
2025 |
SIGMOD |
4.9769913e-05 |
| 11,216 |
High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration |
2025 |
SIGMOD |
4.9769913e-05 |