{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T20:22:51Z","timestamp":1769631771856,"version":"3.49.0"},"reference-count":20,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,7]]},"DOI":"10.1109\/icme.2016.7552971","type":"proceedings-article","created":{"date-parts":[[2016,8,29]],"date-time":"2016-08-29T16:31:39Z","timestamp":1472488299000},"page":"1-6","source":"Crossref","is-referenced-by-count":32,"title":["Recurrent convolutional neural network for video classification"],"prefix":"10.1109","author":[{"given":"Zhenqi","family":"Xu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiani","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weihong","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"2625","article-title":"Long-term recurrent convolutional networks for visual recognition and description","author":"donahue","year":"2015","journal-title":"Proceedings of the IEEE Conference on ComputerVision and Pattern Recognition"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref12","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":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.59"},{"key":"ref14","article-title":"Ucf101: A dataset of 101 human actions classes from videos in the wild","author":"soomro","year":"2012","journal-title":"arXiv preprint arXiv 1212 0402"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1990.2.4.490"},{"key":"ref16","first-page":"4","article-title":"Caffe: Convolutional architecture for fast feature embedding","volume":"2","author":"yangqing","year":"2014","journal-title":"ACM Multimedia"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref18","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"International Conference on Artificial Intelligence and Statistics"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-24673-2_3"},{"key":"ref4","article-title":"Bag of visual words and fusion methods for action recognition: Comprehensive study and good practice","author":"peng","year":"2014","journal-title":"arXiv preprint arXiv 1405 4506"},{"key":"ref3","article-title":"Lear-inria submission for the thumos workshop","author":"wang","year":"2013","journal-title":"THUMOS ICCV Workshop on Action Recognition with A Large Number of Classes"},{"key":"ref6","article-title":"Beyond short snippets: Deep networks for video classification","author":"ng","year":"2015","journal-title":"arXiv preprint arXiv 1503"},{"key":"ref5","article-title":"Convolutional networks for images, speech, and time series","volume":"3361","author":"lecun","year":"1995","journal-title":"The Handbook of Brain Theory and Neural Networks"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1109\/CVPR.2009.5206848","article-title":"Imagenet: A large-scale hierarchical image database","author":"deng","year":"2009","journal-title":"Computer Vision and Pattern Recognition 2009 CVPR 2009 IEEE Conference on"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.223"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/11744047_33"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24797-2"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1098\/rstb.1980.0082"}],"event":{"name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","location":"Seattle, WA, USA","start":{"date-parts":[[2016,7,11]]},"end":{"date-parts":[[2016,7,15]]}},"container-title":["2016 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7547215\/7552854\/07552971.pdf?arnumber=7552971","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,24]],"date-time":"2017-06-24T17:35:10Z","timestamp":1498325710000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7552971\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,7]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/icme.2016.7552971","relation":{},"subject":[],"published":{"date-parts":[[2016,7]]}}}