{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T15:46:57Z","timestamp":1759160817915,"version":"3.37.3"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003787","name":"Natural Science Foundation of Hebei Province","doi-asserted-by":"publisher","award":["F2020201011"],"award-info":[{"award-number":["F2020201011"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3027386","type":"journal-article","created":{"date-parts":[[2020,9,29]],"date-time":"2020-09-29T22:47:11Z","timestamp":1601419631000},"page":"179118-179127","source":"Crossref","is-referenced-by-count":9,"title":["Temporal Segment Connection Network for Action Recognition"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5978-2973","authenticated-orcid":false,"given":"Qian","family":"Li","sequence":"first","affiliation":[]},{"given":"Wenzhu","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Xiangyang","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Tongtong","family":"Yuan","sequence":"additional","affiliation":[]},{"given":"Yuxia","family":"Wang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2778011"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2890749"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01018"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.01.020"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00558"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_2"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.03.005"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2895472"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00151"},{"key":"ref28","first-page":"571","article-title":"HMDB51: A large video database for human motion recognition","author":"kuehne","year":"2013","journal-title":"High Performance Computing in Science and Engineering"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0859-0"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00734"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.345"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.223"},{"key":"ref29","article-title":"UCF101: A dataset of 101 human actions classes from videos in the wild","author":"soomro","year":"2012","journal-title":"arXiv 1212 0402"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2011.5711524"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref7","first-page":"568","article-title":"Two-stream convolutional networks for action recognition in videos","author":"simonyan","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.441"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2817253"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-005-1838-7"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2910604"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"850","DOI":"10.1049\/cp:19991218","article-title":"Learning to forget: Continual prediction with LSTM","author":"gers","year":"1999","journal-title":"Proc 9th Int Conf Artif Neur Netw (ICANN'99)"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.590"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.10.095"},{"key":"ref23","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","author":"shi","year":"2015","journal-title":"Proc Adv Neu Inf Proc Sys"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2894025"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.236"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09207889.pdf?arnumber=9207889","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:56:15Z","timestamp":1639770975000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9207889\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3027386","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2020]]}}}