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@inproceedings{1763301,
author = {Budíková, Petra and Sedmidubský, Jan and Zezula, Pavel},
address = {Neuveden},
booktitle = {ACM International Conference on Multimedia Retrieval (ICMR)},
doi = {http://dx.doi.org/10.1145/3460426.3463646},
keywords = {human motion data; skeleton sequences; motion word; text-based processing; indexing; extended inverted files; ranked retrieval; approximate searching; scalability},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Neuveden},
isbn = {978-1-4503-8463-6},
pages = {10-18},
publisher = {ACM},
title = {Efficient Indexing of 3D Human Motions},
url = {https://dl.acm.org/doi/10.1145/3460426.3463646},
year = {2021}
}
TY - JOUR
ID - 1763301
AU - Budíková, Petra - Sedmidubský, Jan - Zezula, Pavel
PY - 2021
TI - Efficient Indexing of 3D Human Motions
PB - ACM
CY - Neuveden
SN - 9781450384636
KW - human motion data
KW - skeleton sequences
KW - motion word
KW - text-based processing
KW - indexing
KW - extended inverted files
KW - ranked retrieval
KW - approximate searching
KW - scalability
UR - https://dl.acm.org/doi/10.1145/3460426.3463646
N2 - Digitization of human motion using 2D or 3D skeleton representations offers exciting possibilities for many applications but, at the same time, requires scalable content-based retrieval techniques to make such data reusable. Although a lot of research effort focuses on extracting content-preserving motion features, there is a lack of techniques that support efficient similarity search on a large scale. In this paper, we introduce a new indexing scheme for organizing large collections of spatio-temporal skeleton sequences. Specifically, we apply the motion-word concept to transform skeleton sequences into structured text-like motion documents, and index such documents using an extended inverted-file approach. Over this index, we design a new similarity search algorithm that exploits the properties of the motion-word representation and provides efficient retrieval with a variable level of approximation, possibly reaching constant search costs disregarding the collection size. Experimental results confirm the usefulness of the proposed approach.
ER -
BUDÍKOVÁ, Petra, Jan SEDMIDUBSKÝ a Pavel ZEZULA. Efficient Indexing of 3D Human Motions. Online. In \textit{ACM International Conference on Multimedia Retrieval (ICMR)}. Neuveden: ACM, 2021, s.~10-18. ISBN~978-1-4503-8463-6. Dostupné z: https://dx.doi.org/10.1145/3460426.3463646.
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