{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T19:07:20Z","timestamp":1774033640834,"version":"3.50.1"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T00:00:00Z","timestamp":1629331200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T00:00:00Z","timestamp":1629331200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T00:00:00Z","timestamp":1629331200000},"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":[[2021,8,19]]},"DOI":"10.1109\/rivf51545.2021.9642132","type":"proceedings-article","created":{"date-parts":[[2021,12,21]],"date-time":"2021-12-21T21:08:09Z","timestamp":1640120889000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["Key frame and skeleton extraction for deep learning-based human action recognition"],"prefix":"10.1109","author":[{"given":"Hai-Hong","family":"Phan","sequence":"first","affiliation":[]},{"given":"Trung Tin","family":"Nguyen","sequence":"additional","affiliation":[]},{"given":"Ngo","family":"Huu Phuc","sequence":"additional","affiliation":[]},{"given":"Nguyen Huu","family":"Nhan","sequence":"additional","affiliation":[]},{"given":"Do","family":"Minh Hieu","sequence":"additional","affiliation":[]},{"given":"Cao Truong","family":"Tran","sequence":"additional","affiliation":[]},{"given":"Bao","family":"Ngoc Vi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-012-0594-8"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33863-2_30"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995496"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539881"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/fi11020042"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073596"},{"key":"ref11","first-page":"33","article-title":"3d hand gesture recognition using a depth and skeletal dataset: Shrec’17 track","author":"de smedt","year":"2017","journal-title":"Proceedings of the ACM Workshop on 3D Object Retrieval"},{"key":"ref12","first-page":"0","article-title":"Spatial-temporal attention res-tcn for skeleton-based dynamic hand gesture recognition","author":"hou","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV) Workshops"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.316"},{"key":"ref14","article-title":"Ucf sports action data set","year":"2020"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2016.153"},{"key":"ref16","article-title":"Human activity recognition with openpose and long short-term memory on real time images","author":"sawant","year":"2020"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00584"},{"key":"ref18","first-page":"1110","article-title":"Hierarchical recurrent neural network for skeleton based action recognition","author":"du","year":"2015","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.115"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587727"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/s20236941"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1007\/3-540-45103-X_50","article-title":"Two-frame motion estimation based on polynomial expansion","author":"farneb\u00e4ck","year":"2003","journal-title":"Scandinavian Conference on Image Analysis"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/s20082226"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1049\/iet-cvi.2017.0282"},{"key":"ref29","first-page":"124","article-title":"Evaluation of local spatio-temporal features for action recognition","author":"wang","year":"2009","journal-title":"BMVC 2009-British Machine Vision Conference"},{"key":"ref5","article-title":"Deep keyframe detection in human action videos","author":"yan","year":"2018"},{"key":"ref8","first-page":"7291","article-title":"Realtime multi-person 2d pose estimation using part affinity fields","author":"cao","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.244"},{"key":"ref2","article-title":"A survey on 3d skeleton-based action recognition using learning method","author":"ren","year":"2020"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/s19194129"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_29"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3338533.3366569"},{"key":"ref22","article-title":"Documentation mocap database hdm05","author":"m\u00fcller","year":"2007"},{"key":"ref21","article-title":"Smart frame selection for action recognition","author":"gowda","year":"2020"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00734"},{"key":"ref23","article-title":"Cmu motion capture database","year":"2019"},{"key":"ref26","article-title":"Openpose: Realtime multi-person 2d pose estimation using part affinity fields","author":"cao","year":"2019","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref25","first-page":"281","article-title":"On the integration of optical flow and action recognition","author":"sevilla-lara","year":"2018","journal-title":"German Conference on Pattern Recognition"}],"event":{"name":"2021 RIVF International Conference on Computing and Communication Technologies (RIVF)","location":"Hanoi, Vietnam","start":{"date-parts":[[2021,8,19]]},"end":{"date-parts":[[2021,8,21]]}},"container-title":["2021 RIVF International Conference on Computing and Communication Technologies (RIVF)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9642022\/9642065\/09642132.pdf?arnumber=9642132","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:54:55Z","timestamp":1652201695000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9642132\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,19]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/rivf51545.2021.9642132","relation":{},"subject":[],"published":{"date-parts":[[2021,8,19]]}}}