Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning

Summary: Zeus uses an RL agent to localize actions in video by selecting sampling rate, length, and resolution to meet a target accuracy. Yields up to 22.1x speedups over frame-based and window-based baselines, while consistently meeting accuracy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6489
Venue: SIGMOD
Year: 2022
Pagerank: 5.6724721e-05
Overall Rank: 5,135 | 64.28%
DOI: 10.1145/3514221.3526181

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
6,130	VOCAL: Video Organization and Interactive Compositional AnaLytics	2022	CIDR	5.1962107e-05
6,315	Seiden: Revisiting Query Processing in Video Database Systems	2023	VLDB	5.1142298e-05
6,877	Extract-Transform-Load for Video Streams	2023	VLDB	4.8974054e-05
7,338	Aero: Adaptive Query Processing of ML Queries	2025	SIGMOD	4.7584583e-05
8,383	EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions	2023	VLDB	4.5307128e-05
9,341	SketchQL: Video Moment Querying with a Visual Query Interface	2024	SIGMOD	4.3554097e-05
9,770	Everest: A Top-K Deep Video Analytics System	2022	SIGMOD	4.2856106e-05
9,806	The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format	2024	SIGMOD	4.2805224e-05
10,382	MAST: Towards Efficient Analytical Query Processing on Point Cloud Data	2025	SIGMOD	4.1945683e-05
10,503	Self-Enhancing Video Data Management System for Compositional Events with Large Language Models	2025	SIGMOD	4.1945683e-05
10,523	Scalable Complex Event Processing on Video Streams	2025	SIGMOD	4.1945683e-05
10,944	Predictive and Near-Optimal Sampling for View Materialization in Video Databases	2024	SIGMOD	4.1945683e-05
11,061	Optimizing Video Queries with Declarative Clues	2024	VLDB	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
307	Extensible Query Processing in Starburst	1989	SIGMOD	0.00028211308
329	Accelerating Machine Learning Inference with Probabilistic Predicates	2018	SIGMOD	0.00027249545
696	BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics	2020	VLDB	0.00018048935
1,388	MIRIS: Fast Object Track Queries in Video	2020	SIGMOD	0.00012260926
4,751	ODIN: Automated Drift Detection and Recovery in Video Analytics	2020	VLDB	5.9485403e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
696	BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics	2020	VLDB	0.00018048935
1,657	Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine	2019	CIDR	0.00010987105
5,173	FiGO: Fine-Grained Query Optimization in Video Analytics	2022	SIGMOD	5.6447253e-05
4,950	Evaluating Temporal Queries Over Video Feeds	2021	SIGMOD	5.8104133e-05
10,503	Self-Enhancing Video Data Management System for Compositional Events with Large Language Models	2025	SIGMOD	4.1945683e-05
9,770	Everest: A Top-K Deep Video Analytics System	2022	SIGMOD	4.2856106e-05
3,604	Spatial and Temporal Constrained Ranked Retrieval over Videos	2022	VLDB	6.9301368e-05
8,672	Optimizing Video Selection LIMIT Queries With Commonsense Knowledge	2024	VLDB	4.4710897e-05
11,061	Optimizing Video Queries with Declarative Clues	2024	VLDB	4.1945683e-05
6,182	Top-K Deep Video Analytics: A Probabilistic Approach	2021	SIGMOD	5.1682689e-05