OTIF: Efficient Tracker Pre-processing over Large Video Datasets

Summary: OTIF pre-processes large video datasets to extract all object tracks in one pass; a joint parameter tuning framework optimizes pre-processing for broad reusability. Outputs are general-purpose tracks enabling multi-query workloads with sub-second latencies, delivering 6x–25x reductions over five queries versus prior video query optimizers. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6288
Venue: SIGMOD
Year: 2022
Pagerank: 5.8684353e-05
Overall Rank: 4,865 | 66.16%
DOI: 10.1145/3514221.3517835

Incoming Non-self Citations Over Time

Authors

1. Favyen Bastani
2. Samuel Madden

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
5,658	Databases Unbound: Querying All of the World's Bytes with AI	2024	VLDB	5.385675e-05
6,877	Extract-Transform-Load for Video Streams	2023	VLDB	4.8974054e-05
8,383	EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions	2023	VLDB	4.5307128e-05
9,129	Spatialyze: A Geospatial Video Analytics System with Spatial-Aware Optimizations	2024	VLDB	4.3903093e-05
9,765	TVM: A Tile-based Video Management Framework	2024	VLDB	4.2856106e-05
9,768	DoveDB: A Declarative and Low-Latency Video Database	2023	VLDB	4.2856106e-05
10,064	Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees	2026	SIGMOD	4.1945683e-05
10,325	KEN: An Execution Engine for Unstructured Database Systems	2026	VLDB	4.1945683e-05
10,518	High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration	2025	SIGMOD	4.1945683e-05
10,667	Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse	2025	VLDB	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 4 of 4 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
316	NoScope: Optimizing Neural Network Queries over Video at Scale	2017	VLDB	0.00027988668
329	Accelerating Machine Learning Inference with Probabilistic Predicates	2018	SIGMOD	0.00027249545
1,388	MIRIS: Fast Object Track Queries in Video	2020	SIGMOD	0.00012260926
1,657	Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine	2019	CIDR	0.00010987105

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