{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T21:06:27Z","timestamp":1761599187196,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,9]]},"DOI":"10.1109\/icip.2019.8803118","type":"proceedings-article","created":{"date-parts":[[2019,8,26]],"date-time":"2019-08-26T19:32:48Z","timestamp":1566847968000},"page":"1940-1944","source":"Crossref","is-referenced-by-count":8,"title":["Learning Choreographic Primitives Through A Bayesian Optimized Bi-Directional LSTM Model"],"prefix":"10.1109","author":[{"given":"Ioannis","family":"Rallis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nikolaos","family":"Bakalos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nikolaos","family":"Doulamis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Athanasios","family":"Voulodimos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anastasios","family":"Doulamis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eftychios","family":"Protopapadakis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/WIAMIS.2013.6616151"},{"key":"ref11","article-title":"Classification of k-pop dance movements based on skeleton information obtained by a kinect sensor","volume":"17","author":"kim","year":"2017","journal-title":"Sensors MDPI"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1123\/jab.2012-0248"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2018.04.003"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451672"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952432"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2631719"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/7068349"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2018.2885359"},{"key":"ref19","first-page":"1","article-title":"Rigid body simulation","volume":"19","author":"baraff","year":"1992","journal-title":"Proc SIGGRAPH Course Notes"},{"key":"ref4","first-page":"1394","article-title":"Laban movement analysis using kinect","volume":"9","author":"bernstein","year":"2015","journal-title":"Int J Comput Electr Autom Contr Inf Eng"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/VS-GAMES.2017.8056576"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2012.24"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49607-8_23"},{"key":"ref8","first-page":"404","article-title":"Digitization of cypriot folk dances","volume":"7616","author":"stavrakis","year":"2012","journal-title":"LNCS"},{"key":"ref7","first-page":"1","article-title":"Physicsbased keyframe selection for human motion summarization","author":"voulodimos","year":"2018","journal-title":"Multimedia Tools and Applications"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2019406.2019426"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-011-0434-2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-archives-XLII-2-W3-587-2017"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2002.806645"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/78.650093"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/technologies6010031"},{"key":"ref23","first-page":"55","article-title":"Surrogating the surrogate: accelerating gaussian-process-based global optimization with a mixture cross-entropy algorithm","author":"bardenet","year":"2010","journal-title":"2010 The 27th ICML"}],"event":{"name":"2019 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2019,9,22]]},"location":"Taipei, Taiwan","end":{"date-parts":[[2019,9,25]]}},"container-title":["2019 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8791230\/8799366\/08803118.pdf?arnumber=8803118","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T15:37:06Z","timestamp":1658158626000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8803118\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/icip.2019.8803118","relation":{},"subject":[],"published":{"date-parts":[[2019,9]]}}}