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

1. Daniel Kang (Stanford University)
2. John Emmons (Stanford University)
3. Firas Abuzaid (Stanford University)
4. Peter Bailis (Stanford University)
5. Matei Zaharia (Stanford University)

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 10 of 60 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,845	Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees	2026	VLDB	4.9793485e-05
10,876	ConRAD: Conformal Risk-Aware Neural Databases	2026	VLDB	4.9793485e-05
11,069	KEN: An Execution Engine for Unstructured Database Systems	2026	VLDB	4.9793485e-05
11,210	Scalable Complex Event Processing on Video Streams	2025	SIGMOD	4.9793485e-05
11,306	ArrayMorph: Optimizing Hyperslab Queries on the Cloud for Machine Learning Pipelines	2025	VLDB	4.9793485e-05
11,310	Deja Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse	2025	VLDB	4.9793485e-05
11,783	PAINE Demo: Optimizing Video Selection Queries With Commonsense Knowledge	2023	VLDB	4.9793485e-05
11,931	Accelerating Queries over Unstructured Data with ML	2021	CIDR	4.9793485e-05
11,988	Shahin: Faster Algorithms for Generating Explanations for Multiple Predictions	2021	SIGMOD	4.9793485e-05
12,245	Collaborative Edge and Cloud Neural Networks for Real-Time Video Processing	2018	VLDB	4.9793485e-05

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
1	Access Path Selection in a Relational Database Management System	1979	SIGMOD	0.0023947656
112	TelegraphCQ: Continuous Dataflow Processing for an Uncertain World	2003	CIDR	0.00032459277
127	The Design of the Borealis Stream Processing Engine	2005	CIDR	0.00030427614
240	Gigascope: A Stream Database for Network Applications	2003	SIGMOD	0.00023435436
253	Database Cracking	2007	CIDR	0.00023042111
353	The Query By Image Content (QBIC) System	1995	SIGMOD	0.00020222998
503	Towards a Unified Architecture for in-RDBMS Analytics	2012	SIGMOD	0.00017202276
537	MLbase: A Distributed Machine-learning System	2013	CIDR	0.00016768109
827	Adaptive Ordering of Pipelined Stream Filters	2004	SIGMOD	0.00013632674
1,833	MacroBase: Prioritizing Attention in Fast Data	2017	SIGMOD	9.5405247e-05
2,536	STRG-Index: Spatio-Temporal Region Graph Indexing for Large Video Databases	2005	SIGMOD	8.3321989e-05
4,302	The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox	2015	CIDR	6.6778695e-05
4,456	Efficient and Cost-effective Techniques for Browsing and Indexing Large Video Databases	2000	SIGMOD	6.5921199e-05
4,486	Optimization of Continuous Queries with Shared Expensive Filters	2007	PODS	6.5788984e-05
12,260	Prioritizing Attention in Fast Data: Principles and Promise	2017	CIDR	4.9793485e-05

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