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Indexing Large Human-Motion Databases

Summary: Introduces bounding-envelope indexes for motion-capture similarity search under global/uniform time scaling, complementing DTW’s local alignment. Experiments on real datasets and a processing system achieve orders-of-magnitude speedups over brute force. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9377
Venue
VLDB
Year
2004
Pagerank
6.4720439e-05
Overall Rank
4,867 | 66.61%
DOI
10.1016/B978-012088469-8.50069-3

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{keogh_vldb04,
        title = {{Indexing Large Human-Motion Databases}},
        author = {Keogh, Eamonn and Palpanas, Themistoklis and Zordan, Victor B. and Gunopulos, Dimitrios and Cardle, Marc},
        journal = {PVLDB},
        series = {{VLDB} '04},
        pages = {780--791},
        doi = {10.1016/B978-012088469-8.50069-3},
        url = {https://doi.org/10.1016/B978-012088469-8.50069-3},
        year = {2004}
}

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