{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:12:37Z","timestamp":1750306357189,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,6,6]],"date-time":"2016-06-06T00:00:00Z","timestamp":1465171200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National High-tech R&D Program of China","award":["No. 2012AA010902"],"award-info":[{"award-number":["No. 2012AA010902"]}]},{"name":"National Natural Science Foundation of China","award":["No. 61303059"],"award-info":[{"award-number":["No. 61303059"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2016,6,6]]},"DOI":"10.1145\/2911996.2911997","type":"proceedings-article","created":{"date-parts":[[2016,6,10]],"date-time":"2016-06-10T13:09:57Z","timestamp":1465564197000},"page":"39-46","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["GPU-FV"],"prefix":"10.1145","author":[{"given":"Wenjing","family":"Ma","sequence":"first","affiliation":[{"name":"Institute of Software, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liangliang","family":"Cao","sequence":"additional","affiliation":[{"name":"Yahoo, New York City, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Yu","sequence":"additional","affiliation":[{"name":"Institute of Software, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoping","family":"Long","sequence":"additional","affiliation":[{"name":"Institute of Software, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yucheng","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Software, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2016,6,6]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2007.09.014"},{"key":"e_1_3_2_1_2_1","volume-title":"GMM based fisher vector calculation on GPGPU","author":"Bodzsar E.","year":"2011","unstructured":"E. Bodzsar , B. Daroczy , I. Petras , and A. A. Benczur . GMM based fisher vector calculation on GPGPU . 2011 . E. Bodzsar, B. Daroczy, I. Petras, and A. A. Benczur. GMM based fisher vector calculation on GPGPU. 2011."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390170"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2502081.2502155"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.410"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.461"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995434"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2008.4563087"},{"key":"e_1_3_2_1_9_1","volume-title":"ImageNet: A Large-Scale Hierarchical Image Database. In CVPR","author":"Deng J.","year":"2009","unstructured":"J. Deng , W. Dong, and et al . ImageNet: A Large-Scale Hierarchical Image Database. In CVPR , 2009 . J. Deng, W. Dong, and et al. ImageNet: A Large-Scale Hierarchical Image Database. In CVPR, 2009."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995595"},{"key":"e_1_3_2_1_11_1","volume-title":"Journal of Machine Learning Research","author":"Fan R.-E.","year":"2008","unstructured":"R.-E. Fan , K.-W. Chang , C.-J. Hsieh , X.-R. Wang , and C.-J. Lin . LIBLINEAR : A library for large linear classification . In Journal of Machine Learning Research , 2008 . R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin. LIBLINEAR: A library for large linear classification. In Journal of Machine Learning Research, 2008."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.215"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2015.10.005"},{"key":"e_1_3_2_1_14_1","volume-title":"Caffe: Convolutional architecture for fast feature embedding. arXiv preprint arXiv:1408.5093","author":"Jia Y.","year":"2014","unstructured":"Y. Jia , E. Shelhamer , J. Donahue , S. Karayev , J. Long , R. Girshick , S. Guadarrama , and T. Darrell . Caffe: Convolutional architecture for fast feature embedding. arXiv preprint arXiv:1408.5093 , 2014 . Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. arXiv preprint arXiv:1408.5093, 2014."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206771"},{"key":"e_1_3_2_1_16_1","first-page":"1106","volume-title":"NIPS","author":"Krizhevsky A.","year":"2012","unstructured":"A. Krizhevsky , I. Sutskever , and G. E. Hinton . ImageNet classification with deep convolutional neural networks . In NIPS , pages 1106 -- 1114 , 2012 . A. Krizhevsky, I. Sutskever, and G. E. Hinton. ImageNet classification with deep convolutional neural networks. In NIPS, pages 1106--1114, 2012."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.338"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206641"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2578726.2578791"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.228"},{"key":"e_1_3_2_1_21_1","volume-title":"GeoComp","author":"Patlolla D.","year":"2015","unstructured":"D. Patlolla , S. Voisin , H. Sridharan , and A. Cheriyadat . GPU accelerated textons and dense sift features for human settlement detection from high-resolution satellite imagery . In GeoComp , 2015 . D. Patlolla, S. Voisin, H. Sridharan, and A. Cheriyadat. GPU accelerated textons and dense sift features for human settlement detection from high-resolution satellite imagery. In GeoComp, 2015."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540009"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2014.06.011"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.131"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.5555\/2354409.2355081"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.5244\/C.27.8"},{"key":"e_1_3_2_1_27_1","volume-title":"NIPS","author":"Simonyan K.","year":"2014","unstructured":"K. Simonyan and A. Zisserman . Two-stream convolutional networks for action recognition in videos . In NIPS , 2014 . K. Simonyan and A. Zisserman. Two-stream convolutional networks for action recognition in videos. In NIPS, 2014."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.5555\/2150916.2150918"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2578726.2578757"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0636-x"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2010.2091400"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.304"},{"key":"e_1_3_2_1_34_1","unstructured":"A. Vedaldi and B. Fulkerson. VLFeat: An open and portable library of computer vision algorithms. http:\/\/www.vlfeat.org 2008.  A. Vedaldi and B. Fulkerson. VLFeat: An open and portable library of computer vision algorithms. http:\/\/www.vlfeat.org 2008."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/HPCC.and.EUC.2013.23"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2442516.2442539"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995524"}],"event":{"name":"ICMR'16: International Conference on Multimedia Retrieval","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"New York New York USA","acronym":"ICMR'16"},"container-title":["Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2911996.2911997","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2911996.2911997","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:56:07Z","timestamp":1750222567000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2911996.2911997"}},"subtitle":["Realtime Fisher Vector and Its Applications in Video Monitoring"],"short-title":[],"issued":{"date-parts":[[2016,6,6]]},"references-count":37,"alternative-id":["10.1145\/2911996.2911997","10.1145\/2911996"],"URL":"https:\/\/doi.org\/10.1145\/2911996.2911997","relation":{},"subject":[],"published":{"date-parts":[[2016,6,6]]},"assertion":[{"value":"2016-06-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}