Další formáty:
BibTeX
LaTeX
RIS
@inproceedings{1381785, author = {Sedmidubský, Jan and Zezula, Pavel and Švec, Jan}, address = {Cham}, booktitle = {21st European Conference on Advances in Databases and Information Systems}, doi = {http://dx.doi.org/10.1007/978-3-319-66917-5_5}, keywords = {subsequence matching; motion capture data; content-based retrieval; similarity measure; segmentation; indexing}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Cham}, isbn = {978-3-319-66916-8}, pages = {59-72}, publisher = {Springer}, title = {Fast Subsequence Matching in Motion Capture Data}, year = {2017} }
TY - JOUR ID - 1381785 AU - Sedmidubský, Jan - Zezula, Pavel - Švec, Jan PY - 2017 TI - Fast Subsequence Matching in Motion Capture Data PB - Springer CY - Cham SN - 9783319669168 KW - subsequence matching KW - motion capture data KW - content-based retrieval KW - similarity measure KW - segmentation KW - indexing N2 - Motion capture data digitally represent human movements by sequences of body configurations in time. Subsequence matching in such spatio-temporal data is difficult as query-relevant motions can vary in lengths and occur arbitrarily in a very long motion. To deal with these problems, we propose a new subsequence matching approach which (1) partitions both short query and long data motion into fixed-size segments that overlap only partly, (2) uses an effective similarity measure to efficiently retrieve data segments that are the most similar to query segments, and (3) localizes the most query-relevant subsequences within extended and merged retrieved segments in a four-step postprocessing phase. The whole retrieval process is effective and fast in comparison with related work. A real-life 68-minute data motion can be searched in about 1s with the average precision of 87.98% for 5-NN queries. ER -
SEDMIDUBSKÝ, Jan, Pavel ZEZULA a Jan ŠVEC. Fast Subsequence Matching in Motion Capture Data. In \textit{21st European Conference on Advances in Databases and Information Systems}. Cham: Springer, 2017, s.~59-72. ISBN~978-3-319-66916-8. Dostupné z: https://dx.doi.org/10.1007/978-3-319-66917-5\_{}5.
|