Database Paper Browser

Back to papers

BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics

Summary: BlazeIt (FRAMEQL) provides a declarative SQL-like layer for video analytics over neural annotations, enabling optimized spatiotemporal queries. NN control variates for fast, error-bounded aggregations and a cardinality-limited query search yield up to 83x speedups over prior work. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12254
Venue
VLDB
Year
2020
Pagerank
0.00018048935
Overall Rank
696 | 95.16%
DOI
10.14778/3372716.3372725

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 52 citing papers.

Rank Citing Paper Year Venue Pagerank
11,426 Accelerating Queries over Unstructured Data with ML 2021 CIDR 4.1945683e-05
11,482 Pool of Experts: Realtime Querying Specialized Knowledge in Massive Neural Networks 2021 SIGMOD 4.1945683e-05
Previous Page 2 / 2 Next

Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers