SVQ: Streaming Video Queries

Summary: SVQ enables declarative queries over streaming video with approximate filters that pre-filter frames by targeted objects and spatial relations. Filters prune costly detection/localization using extensible DNNs and yield frame-rate gains up to two orders of magnitude depending on the query. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 5800
Venue: SIGMOD
Year: 2019
Pagerank: 7.4362585e-05
Overall Rank: 3,410 | 76.61%
DOI: 10.1145/3299869.3320230

Incoming Non-self Citations Over Time

Authors

1. Ioannis Xarchakos (University of Toronto)
2. Nick Koudas (University of Toronto)

BibTeX Citation

@inproceedings{xarchakos_sigmod19,
        title = {{SVQ: Streaming Video Queries}},
        author = {Xarchakos, Ioannis and Koudas, Nick},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3320230},
        url = {https://dl.acm.org/doi/10.1145/3299869.3320230},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,042	MIRIS: Fast Object Track Queries in Video	2020	SIGMOD	0.00012451966
3,365	Spatial and Temporal Constrained Ranked Retrieval over Videos	2022	VLDB	7.4763252e-05
3,720	VSS: A Storage System for Video Analytics	2021	SIGMOD	7.1739329e-05
4,213	SVQ++: Querying for Object Interactions in Video Streams	2020	SIGMOD	6.8279962e-05
4,375	FiGO: Fine-Grained Query Optimization in Video Analytics	2022	SIGMOD	6.7369552e-05
4,429	Evaluating Temporal Queries Over Video Feeds	2021	SIGMOD	6.7092231e-05
5,827	Top-K Deep Video Analytics: A Probabilistic Approach	2021	SIGMOD	6.0744172e-05
8,331	TQVS: Temporal Queries over Video Streams in Action	2020	SIGMOD	5.4520778e-05
8,518	DeepVQL: Deep Video Queries on PostgreSQL	2023	VLDB	5.4119882e-05
9,408	SketchQL: Video Moment Querying with a Visual Query Interface	2024	SIGMOD	5.2750967e-05
9,464	Self-Enhancing Video Data Management System for Compositional Events with Large Language Models	2025	SIGMOD	5.2634238e-05
11,268	Optimizing Video Queries with Declarative Clues	2024	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
284	NoScope: Optimizing Neural Network Queries over Video at Scale	2017	VLDB	0.00022370521
295	Accelerating Machine Learning Inference with Probabilistic Predicates	2018	SIGMOD	0.00022238183
3,290	Topological Relations in the World of Minimum Bounding Rectangles: A Study with R-trees	1995	SIGMOD	7.5531472e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	284	NoScope: Optimizing Neural Network Queries over Video at Scale	2017	VLDB
2	9,925	DoveDB: A Declarative and Low-Latency Video Database	2023	VLDB
3	8,362	EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions	2023	VLDB
4	1,607	Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine	2019	CIDR
5	9,408	SketchQL: Video Moment Querying with a Visual Query Interface	2024	SIGMOD
6	11,268	Optimizing Video Queries with Declarative Clues	2024	VLDB
7	8,518	DeepVQL: Deep Video Queries on PostgreSQL	2023	VLDB
8	4,429	Evaluating Temporal Queries Over Video Feeds	2021	SIGMOD
9	8,331	TQVS: Temporal Queries over Video Streams in Action	2020	SIGMOD
10	4,213	SVQ++: Querying for Object Interactions in Video Streams	2020	SIGMOD