| 2,898 |
Approximate Selection with Guarantees using Proxies |
2020 |
VLDB |
7.978725e-05 |
| 2,933 |
EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views |
2022 |
SIGMOD |
7.9474026e-05 |
| 3,253 |
Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics |
2021 |
VLDB |
7.5936939e-05 |
| 3,365 |
Spatial and Temporal Constrained Ranked Retrieval over Videos |
2022 |
VLDB |
7.4763252e-05 |
| 3,684 |
ThalamusDB: Approximate Query Processing on Multi-Modal Data |
2024 |
SIGMOD |
7.2033959e-05 |
| 3,720 |
VSS: A Storage System for Video Analytics |
2021 |
SIGMOD |
7.1739329e-05 |
| 3,766 |
TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data |
2022 |
SIGMOD |
7.1430942e-05 |
| 3,907 |
Accelerating Approximate Aggregation Queries with Expensive Predicates |
2021 |
VLDB |
7.0278233e-05 |
| 4,007 |
Optimizing Video Analytics with Declarative Model Relationships |
2023 |
VLDB |
6.9632395e-05 |
| 4,081 |
Abacus: A Cost-Based Optimizer for Semantic Operator Systems |
2026 |
VLDB |
6.9165634e-05 |
| 4,114 |
Optimizing Machine Learning Inference Queries with Correlative Proxy Models |
2022 |
VLDB |
6.8941194e-05 |
| 4,256 |
VIVA: An End-to-End System for Interactive Video Analytics |
2022 |
CIDR |
6.8018439e-05 |
| 4,375 |
FiGO: Fine-Grained Query Optimization in Video Analytics |
2022 |
SIGMOD |
6.7369552e-05 |
| 4,436 |
Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures |
2023 |
VLDB |
6.7069035e-05 |
| 4,694 |
Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning |
2022 |
SIGMOD |
6.5592238e-05 |
| 4,924 |
ODIN: Automated Drift Detection and Recovery in Video Analytics |
2020 |
VLDB |
6.4429959e-05 |
| 5,789 |
Seiden: Revisiting Query Processing in Video Database Systems |
2023 |
VLDB |
6.0874367e-05 |
| 5,827 |
Top-K Deep Video Analytics: A Probabilistic Approach |
2021 |
SIGMOD |
6.0744172e-05 |
| 5,966 |
VOCAL: Video Organization and Interactive Compositional AnaLytics |
2022 |
CIDR |
6.0255527e-05 |
| 6,043 |
Mixer: Efficiently Understanding and Retrieving Visual Content at Web-scale |
2021 |
VLDB |
5.9966613e-05 |
| 6,061 |
VergeDB: A Database for IoT Analytics on Edge Devices |
2021 |
CIDR |
5.9910733e-05 |
| 6,494 |
Extract-Transform-Load for Video Streams |
2023 |
VLDB |
5.8639535e-05 |
| 7,066 |
Aero: Adaptive Query Processing of ML Queries |
2025 |
SIGMOD |
5.712204e-05 |
| 7,568 |
Semantic Operators and Their Optimization: Enabling LLM-Based Data Processing with Accuracy Guarantees in LOTUS |
2025 |
VLDB |
5.5953379e-05 |
| 7,648 |
Accelerating Aggregation Queries on Unstructured Streams of Data |
2023 |
VLDB |
5.575838e-05 |
| 7,739 |
Video-zilla: An Indexing Layer for Large-Scale Video Analytics |
2022 |
SIGMOD |
5.5553554e-05 |
| 8,362 |
EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions |
2023 |
VLDB |
5.4432545e-05 |
| 8,470 |
Query-Driven Video Event Processing for the Internet of Multimedia Things |
2021 |
VLDB |
5.4183553e-05 |
| 8,518 |
DeepVQL: Deep Video Queries on PostgreSQL |
2023 |
VLDB |
5.4119882e-05 |
| 8,524 |
Challenges and Opportunities for Autonomous Vehicle Query Systems |
2021 |
CIDR |
5.4119882e-05 |
| 8,589 |
Optimizing Video Selection LIMIT Queries With Commonsense Knowledge |
2024 |
VLDB |
5.4065627e-05 |
| 8,829 |
Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees |
2026 |
SIGMOD |
5.3613784e-05 |
| 9,406 |
Controlled Intentional Degradation in Analytical Video Systems |
2022 |
SIGMOD |
5.2751448e-05 |
| 9,408 |
SketchQL: Video Moment Querying with a Visual Query Interface |
2024 |
SIGMOD |
5.2750967e-05 |
| 9,421 |
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches |
2024 |
VLDB |
5.2725196e-05 |
| 9,445 |
Interactive Demonstration of EVA |
2023 |
VLDB |
5.2674472e-05 |
| 9,464 |
Self-Enhancing Video Data Management System for Compositional Events with Large Language Models |
2025 |
SIGMOD |
5.2634238e-05 |
| 9,881 |
The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format |
2024 |
SIGMOD |
5.2040783e-05 |
| 9,924 |
TVM: A Tile-based Video Management Framework |
2024 |
VLDB |
5.1955087e-05 |
| 9,926 |
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building |
2023 |
VLDB |
5.1955087e-05 |
| 9,927 |
Everest: A Top-K Deep Video Analytics System |
2022 |
SIGMOD |
5.1955087e-05 |
| 10,137 |
Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics |
2026 |
CIDR |
5.093636e-05 |
| 10,186 |
Accelerating Approximate Analytical Join Queries over Unstructured Data with Statistical Guarantees |
2026 |
SIGMOD |
5.093636e-05 |
| 10,504 |
Task Cascades for Efficient Unstructured Data Processing |
2026 |
SIGMOD |
5.093636e-05 |
| 10,670 |
MAST: Towards Efficient Analytical Query Processing on Point Cloud Data |
2025 |
SIGMOD |
5.093636e-05 |
| 10,791 |
High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration |
2025 |
SIGMOD |
5.093636e-05 |
| 10,795 |
Scalable Complex Event Processing on Video Streams |
2025 |
SIGMOD |
5.093636e-05 |
| 10,917 |
Deja Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse |
2025 |
VLDB |
5.093636e-05 |
| 11,162 |
Predictive and Near-Optimal Sampling for View Materialization in Video Databases |
2024 |
SIGMOD |
5.093636e-05 |
| 11,268 |
Optimizing Video Queries with Declarative Clues |
2024 |
VLDB |
5.093636e-05 |