{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T00:10:09Z","timestamp":1751415009890,"version":"3.41.0"},"reference-count":23,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.1109\/icip.2017.8296913","type":"proceedings-article","created":{"date-parts":[[2018,2,22]],"date-time":"2018-02-22T22:03:23Z","timestamp":1519337003000},"page":"3400-3404","source":"Crossref","is-referenced-by-count":6,"title":["Temporal action localization with two-stream segment-based RNN"],"prefix":"10.1109","author":[{"given":"Tianwei","family":"Lin","sequence":"first","affiliation":[]},{"given":"Xu","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Zhaoxuan","family":"Fan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"20","article-title":"Temporal segment networks: towards good practices for deep action recognition","author":"wang","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0620-5"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"journal-title":"End-to-end learning of action detection from frame glimpses in videos","year":"2015","author":"yeung","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.216"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.214"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-24673-2_3"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"338","DOI":"10.21437\/Interspeech.2014-80","article-title":"Long short-term memory recurrent neural network architectures for large scale acoustic modeling","author":"sak","year":"2014","journal-title":"InterSpeech"},{"key":"ref4","article-title":"Thumos challenge: Action recognition with a large number of classes","author":"jiang","year":"2014","journal-title":"ECCV workshop"},{"journal-title":"Convolutional two-stream network fusion for video action recognition","year":"2016","author":"feichtenhofer","key":"ref3"},{"key":"ref6","first-page":"3093","article-title":"Tempo-ral action localization with pyramid of score distribution features","author":"yuan","year":"2016","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref5","article-title":"The lear submission at thumos 2014","author":"oneata","year":"2014","journal-title":"ECCV THUMOS Workshop"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.441"},{"key":"ref7","first-page":"2","article-title":"Action recognition and detection by combining motion and appearance features","volume":"1","author":"wang","year":"2014","journal-title":"THUMOS14 Action Recognition Challenge"},{"key":"ref2","first-page":"568","article-title":"Two-stream convolutional networks for action recognition in videos","author":"simonyan","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.223"},{"journal-title":"Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs","year":"2016","author":"shou","key":"ref9"},{"journal-title":"To-wards good practices for very deep two-stream con-vnets","year":"2015","author":"wang","key":"ref20"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"journal-title":"Ucf101 A Dataset of 101 Human Actions Classes from Videos in the Wild","year":"2012","author":"soomro","key":"ref21"},{"journal-title":"Tensorflow Large-scale machine learning on heterogeneous distributed systems","year":"2016","author":"abadi","key":"ref23"}],"event":{"name":"2017 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2017,9,17]]},"location":"Beijing","end":{"date-parts":[[2017,9,20]]}},"container-title":["2017 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8267582\/8296222\/08296913.pdf?arnumber=8296913","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T23:53:34Z","timestamp":1751414014000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8296913\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/icip.2017.8296913","relation":{},"subject":[],"published":{"date-parts":[[2017,9]]}}}