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MIRIS: Fast Object Track Queries in Video

Summary: Query-driven tracking fuses object-tracking with predicate evaluation to accelerate object-track queries in video databases. Adaptive framerate: low by default, upsampled as needed for accuracy, achieving ~9x speedups over the IOU tracker. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5969
Venue
SIGMOD
Year
2020
Pagerank
0.00012451966
Overall Rank
1,042 | 92.86%
DOI
10.1145/3318464.3389692

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{bastani_sigmod20,
        title = {{MIRIS: Fast Object Track Queries in Video}},
        author = {Bastani, Favyen and He, Songtao and Balasingam, Arjun and Gopalakrishnan, Karthik and Alizadeh, Mohammad and Balakrishnan, Hari and Cafarella, Michael and Kraska, Tim and Madden, Sam},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3389692},
        url = {https://dl.acm.org/doi/10.1145/3318464.3389692},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 36 of 36 citing papers.

Rank Citing Paper Year Venue Pagerank
3,720 VSS: A Storage System for Video Analytics 2021 SIGMOD 7.1739329e-05
3,756 Vaas: Video Analytics At Scale 2020 VLDB 7.1487427e-05
3,766 TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data 2022 SIGMOD 7.1430942e-05
4,007 Optimizing Video Analytics with Declarative Model Relationships 2023 VLDB 6.9632395e-05
4,256 VIVA: An End-to-End System for Interactive Video Analytics 2022 CIDR 6.8018439e-05
4,298 OTIF: Efficient Tracker Pre-processing over Large Video Datasets 2022 SIGMOD 6.7750533e-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
4,694 Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning 2022 SIGMOD 6.5592238e-05
5,220 Databases Unbound: Querying All of the World’s Bytes with AI 2024 VLDB 6.3108362e-05
5,827 Top-K Deep Video Analytics: A Probabilistic Approach 2021 SIGMOD 6.0744172e-05
5,966 VOCAL: Video Organization and Interactive Compositional AnaLytics 2022 CIDR 6.0255527e-05
6,494 Extract-Transform-Load for Video Streams 2023 VLDB 5.8639535e-05
7,066 Aero: Adaptive Query Processing of ML Queries 2025 SIGMOD 5.712204e-05
7,648 Accelerating Aggregation Queries on Unstructured Streams of Data 2023 VLDB 5.575838e-05
7,739 Video-zilla: An Indexing Layer for Large-Scale Video Analytics 2022 SIGMOD 5.5553554e-05
8,362 EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions 2023 VLDB 5.4432545e-05
8,518 DeepVQL: Deep Video Queries on PostgreSQL 2023 VLDB 5.4119882e-05
8,589 Optimizing Video Selection LIMIT Queries With Commonsense Knowledge 2024 VLDB 5.4065627e-05
9,144 Spatialyze: A Geospatial Video Analytics System with Spatial-Aware Optimizations 2024 VLDB 5.315132e-05
9,406 Controlled Intentional Degradation in Analytical Video Systems 2022 SIGMOD 5.2751448e-05
9,408 SketchQL: Video Moment Querying with a Visual Query Interface 2024 SIGMOD 5.2750967e-05
9,421 SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches 2024 VLDB 5.2725196e-05
9,445 Interactive Demonstration of EVA 2023 VLDB 5.2674472e-05
9,464 Self-Enhancing Video Data Management System for Compositional Events with Large Language Models 2025 SIGMOD 5.2634238e-05
9,881 The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format 2024 SIGMOD 5.2040783e-05
9,924 TVM: A Tile-based Video Management Framework 2024 VLDB 5.1955087e-05
9,925 DoveDB: A Declarative and Low-Latency Video Database 2023 VLDB 5.1955087e-05
9,926 VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building 2023 VLDB 5.1955087e-05
9,927 Everest: A Top-K Deep Video Analytics System 2022 SIGMOD 5.1955087e-05
10,623 KEN: An Execution Engine for Unstructured Database Systems 2026 VLDB 5.093636e-05
10,670 MAST: Towards Efficient Analytical Query Processing on Point Cloud Data 2025 SIGMOD 5.093636e-05
10,791 High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration 2025 SIGMOD 5.093636e-05
10,917 Deja Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse 2025 VLDB 5.093636e-05
11,162 Predictive and Near-Optimal Sampling for View Materialization in Video Databases 2024 SIGMOD 5.093636e-05
11,268 Optimizing Video Queries with Declarative Clues 2024 VLDB 5.093636e-05
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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.

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