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Co-movement Pattern Mining from Videos

Summary: First study of co-movement mining from surveillance video: defines camera-based spatio-temporal proximity and proves hardness. Presents TCS-tree index, sequence-ahead pruning, sliding-window enumeration and hashing-based dominance elimination; evaluated on a 1169-camera DB, much faster than Apriori/CMC and produces GPS-comparable patterns. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13738
Venue
VLDB
Year
2024
Pagerank
4.2897489e-05
Overall Rank
9,751 | 32.17%
DOI
10.14778/3632093.3632119

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
10,103 Query-Aware Path Inference from Spatial Videos 2026 SIGMOD 4.1945683e-05
10,382 MAST: Towards Efficient Analytical Query Processing on Point Cloud Data 2025 SIGMOD 4.1945683e-05
10,576 Mining Platoon Patterns from Traffic Videos 2025 VLDB 4.1945683e-05
10,944 Predictive and Near-Optimal Sampling for View Materialization in Video Databases 2024 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

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