Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Jan Sedmidubský"'
This book constitutes the refereed proceedings of the 17th International Conference on Similarity Search and Applications, SISAP 2024, held in Providence, RI, USA, during November 4–6, 2024. The 13 full papers, 7 short papers and 4 Indexing Challe
Publikováno v:
Similarity Search and Applications ISBN: 9783030896560
SISAP
SISAP
With the growth of structured graph data, the analysis of networks is an important topic. Community mining is one of the main analytical tasks of network analysis. Communities are dense clusters of nodes, possibly containing additional information ab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82ff9ce6f3cef8eaa5d935f1d461dab7
https://doi.org/10.1007/978-3-030-89657-7_28
https://doi.org/10.1007/978-3-030-89657-7_28
Publikováno v:
Multimedia Tools and Applications. 77:12073-12094
Motion capture data describe human movements in the form of spatio-temporal trajectories of skeleton joints. Intelligent management of such complex data is a challenging task for computers which requires an effective concept of motion similarity. How
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dcc8d9c4de456eaa69fe95f399c3739
https://doi.org/10.1007/s11042-017-4859-7
https://doi.org/10.1007/s11042-017-4859-7
Publikováno v:
Multimedia tools and applications 78 (2019): 27309–27331. doi:10.1007/s11042-019-07827-3
info:cnr-pdr/source/autori:Carrara F.; Elias P.; Sedmidubsky J.; Zezula P./titolo:LSTM-based real-time action detection and prediction in human motion streams/doi:10.1007%2Fs11042-019-07827-3/rivista:Multimedia tools and applications/anno:2019/pagina_da:27309/pagina_a:27331/intervallo_pagine:27309–27331/volume:78
info:cnr-pdr/source/autori:Carrara F.; Elias P.; Sedmidubsky J.; Zezula P./titolo:LSTM-based real-time action detection and prediction in human motion streams/doi:10.1007%2Fs11042-019-07827-3/rivista:Multimedia tools and applications/anno:2019/pagina_da:27309/pagina_a:27331/intervallo_pagine:27309–27331/volume:78
Motion capture data digitally represent human movements by sequences of 3D skeleton configurations. Such spatio-temporal data, often recorded in the stream-based nature, need to be efficiently processed to detect high-interest actions, for example, i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::def81449ee7b945c6e131e5ad546df50
http://hdl.handle.net/11568/1001466
http://hdl.handle.net/11568/1001466
Autor:
Pavel Zezula, Jan Sedmidubský
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319988115
DEXA (2)
DEXA (2)
Automatic classification of 3D skeleton sequences of human motions has applications in many domains, ranging from entertainment to medicine. The classification is a difficult problem as the motions belonging to the same class needn’t be well segmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4007ce9d83a65049b8ae1cd583cccf26
https://doi.org/10.1007/978-3-319-98812-2_4
https://doi.org/10.1007/978-3-319-98812-2_4
Publikováno v:
Advances in Databases and Information Systems ISBN: 9783319669168
ADBIS
ADBIS
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 mot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12f058eaf46093894c3548b3074d6fbd
https://doi.org/10.1007/978-3-319-66917-5_5
https://doi.org/10.1007/978-3-319-66917-5_5
Publikováno v:
Similarity Search and Applications ISBN: 9783319467580
SISAP
SISAP
Motion capture data digitally represent human movements by sequences of body configurations in time. Searching in such spatio-temporal data is difficult as query-relevant motions can vary in lengths and occur arbitrarily in the very long data sequenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbc8ae8984339dbb7d5e3d7dd1059eb5
https://doi.org/10.1007/978-3-319-46759-7_21
https://doi.org/10.1007/978-3-319-46759-7_21
Publikováno v:
ResearcherID
Advances in Visual Computing ISBN: 9783642331909
ISVC (2)
Advances in Visual Computing ISBN: 9783642331909
ISVC (2)
We focus on recognizing persons according to the way they walk. Our approach considers a human movement as a set of trajectories formed by specific anatomical landmarks, such as hips, feet, shoulders, or hands. The trajectories are used for the extra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3459f4fb9be3f34580ff055d12607928
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000363265800002&KeyUID=WOS:000363265800002
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000363265800002&KeyUID=WOS:000363265800002
Autor:
Takehira, Hiroshi1, Karim, Mohammad Razaul2, Shudo, Yuta1, Fukuda, Masahiro1, Mashimo, Tsutomu3, Hayami, Shinya1,3 hayami@kumamoto-u.ac.jp
Publikováno v:
Scientific Reports. 11/26/2018, Vol. 8 Issue 1, p1-1. 1p.
As in all fields and disciplines of the humanities, Jewish Studies scholars find themselves confronted with the rapidly increasing availability of digital resources (data), new technologies to interrogate and analyze them (tools), and the question