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NoScope: Optimizing Neural Network Queries over Video at Scale

Summary: Auto-sequences a cascade of specialized and difference detectors to accelerate neural-network video queries while preserving reference-model accuracy. A cost-based optimizer tunes the cascade per video/object, delivering up to 15,500x real-time speedups with 1–5% accuracy loss. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h3b3475e140dfb4aa
Venue
VLDB
Year
2017
Pagerank
0.00022560564
Overall Rank
271 | 98.18%
DOI
10.14778/3137628.3137664

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{kang_vldb17,
        title = {{NoScope: Optimizing Neural Network Queries over Video at Scale}},
        author = {Kang, Daniel and Emmons, John and Abuzaid, Firas and Bailis, Peter and Zaharia, Matei},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {11},
        doi = {10.14778/3137628.3137664},
        url = {https://doi.org/10.14778/3137628.3137664},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 60 citing papers.

Rank Citing Paper Year Venue Pagerank
281 Accelerating Machine Learning Inference with Probabilistic Predicates 2018 SIGMOD 0.00022295232
541 BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics 2020 VLDB 0.00016657685
683 DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing 2025 VLDB 0.00014817539
1,024 MIRIS: Fast Object Track Queries in Video 2020 SIGMOD 0.00012430491
1,617 Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine 2019 CIDR 0.00010057464
2,391 DeepLens: Towards a Visual Data Management System 2019 CIDR 8.5365368e-05
2,710 Panorama: A Data System for Unbounded Vocabulary Querying over Video 2020 VLDB 8.1041775e-05
2,776 Approximate Selection with Guarantees using Proxies 2020 VLDB 8.0309448e-05
2,787 EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views 2022 SIGMOD 8.0158999e-05
2,982 Semantic Operators and Their Optimization: Enabling LLM-Based Data Processing with Accuracy Guarantees in LOTUS 2025 VLDB 7.7845174e-05
3,040 Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations 2019 SIGMOD 7.7216143e-05
3,126 Abacus: A Cost-Based Optimizer for Semantic Operator Systems 2026 VLDB 7.6185225e-05
3,219 Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics 2021 VLDB 7.5207996e-05
3,411 Spatial and Temporal Constrained Ranked Retrieval over Videos 2022 VLDB 7.3253532e-05
3,429 SVQ: Streaming Video Queries 2019 SIGMOD 7.306047e-05
3,650 TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data 2022 SIGMOD 7.1341771e-05
3,778 Optimizing Video Analytics with Declarative Model Relationships 2023 VLDB 7.0259119e-05
3,806 Vaas: Video Analytics At Scale 2020 VLDB 7.0107906e-05
3,874 Accelerating Approximate Aggregation Queries with Expensive Predicates 2021 VLDB 6.953738e-05
3,948 OTIF: Efficient Tracker Pre-processing over Large Video Datasets 2022 SIGMOD 6.9053923e-05
4,182 Rafiki: Machine Learning as an Analytics Service System 2019 VLDB 6.755131e-05
4,286 SVQ++: Querying for Object Interactions in Video Streams 2020 SIGMOD 6.6873151e-05
4,287 VIVA: An End-to-End System for Interactive Video Analytics 2022 CIDR 6.6869736e-05
4,293 A Method for Optimizing Opaque Filter Queries 2020 SIGMOD 6.6819917e-05
4,495 Evaluating Temporal Queries Over Video Feeds 2021 SIGMOD 6.5769374e-05
4,557 Databases Unbound: Querying All of the World’s Bytes with AI 2024 VLDB 6.5356905e-05
5,043 ODIN: Automated Drift Detection and Recovery in Video Analytics 2020 VLDB 6.3002257e-05
5,211 Seiden: Revisiting Query Processing in Video Database Systems 2023 VLDB 6.2253642e-05
5,877 BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees 2019 SIGMOD 5.9627218e-05
6,009 Mixer: Efficiently Understanding and Retrieving Visual Content at Web-scale 2021 VLDB 5.9148049e-05
6,583 Extract-Transform-Load for Video Streams 2023 VLDB 5.7438181e-05
7,009 Video-zilla: An Indexing Layer for Large-Scale Video Analytics 2022 SIGMOD 5.6222568e-05
7,316 Interactive Demonstration of Probabilistic Predicates 2018 SIGMOD 5.5547672e-05
7,801 Accelerating Aggregation Queries on Unstructured Streams of Data 2023 VLDB 5.4507311e-05
7,978 Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines 2024 VLDB 5.4136835e-05
8,213 Scaling a Declarative Cluster Manager Architecture with Query Optimization Techniques 2023 VLDB 5.3770961e-05
8,410 TQVS: Temporal Queries over Video Streams in Action 2020 SIGMOD 5.3365631e-05
8,616 Query-Driven Video Event Processing for the Internet of Multimedia Things 2021 VLDB 5.3019687e-05
8,749 Optimizing Video Selection LIMIT Queries With Commonsense Knowledge 2024 VLDB 5.2852539e-05
8,997 Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees 2026 SIGMOD 5.2410834e-05
9,028 A Distributed System for Large-scale n-gram Language Models at Tencent 2019 VLDB 5.2343288e-05
9,315 Spatialyze: A Geospatial Video Analytics System with Spatial-Aware Optimizations 2024 VLDB 5.1958747e-05
9,539 Controlled Intentional Degradation in Analytical Video Systems 2022 SIGMOD 5.1621607e-05
10,107 TVM: A Tile-based Video Management Framework 2024 VLDB 5.0789354e-05
10,123 RALF: Accuracy-Aware Scheduling for Feature Store Maintenance 2024 VLDB 5.0760214e-05
10,144 Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics 2026 CIDR 5.0715586e-05
10,402 Accelerating Approximate Analytical Join Queries over Unstructured Data with Statistical Guarantees 2026 SIGMOD 4.9793485e-05
10,498 ScaleDoc: Scaling LLM-based Predicates over Large Document Collections 2026 SIGMOD 4.9793485e-05
10,690 Task Cascades for Efficient Unstructured Data Processing 2026 SIGMOD 4.9793485e-05
10,839 Craw: A Unified and Efficient Querying Framework for Large-Scale Video Datasets 2026 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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