A System for Analyzing and Indexing Human-Motion Databases

Summary: Data-driven motion representation via divisively clustered piecewise-linear models; automatic selection by markers. Indexing via transition trajectories through linear components; supports full/partial motions and compact representations, no time-warping. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 3782
Venue: SIGMOD
Year: 2005
Pagerank: 5.093636e-05
Overall Rank: 12,740 | 12.60%
DOI: 10.1145/1066157.1066290

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Guodong Liu (University of North Carolina)
2. Jingdan Zhang (University of North Carolina)
3. Wei Wang (University of North Carolina)
4. Leonard McMillan (University of North Carolina)

BibTeX Citation

@inproceedings{liu_sigmod05,
        title = {{A System for Analyzing and Indexing Human-Motion Databases}},
        author = {Liu, Guodong and Zhang, Jingdan and Wang, Wei and McMillan, Leonard},
        series = {{SIGMOD} '05},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1066157.1066290},
        url = {https://dl.acm.org/doi/10.1145/1066157.1066290},
        year = {2005}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
4,867	Indexing Large Human-Motion Databases	2004	VLDB	6.4720439e-05

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