{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:27:39Z","timestamp":1740122859715,"version":"3.37.3"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"7-8","license":[{"start":{"date-parts":[[2018,10,6]],"date-time":"2018-10-06T00:00:00Z","timestamp":1538784000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2020,2]]},"DOI":"10.1007\/s11042-018-6650-9","type":"journal-article","created":{"date-parts":[[2018,10,5]],"date-time":"2018-10-05T20:51:53Z","timestamp":1538772713000},"page":"4811-4830","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Deep learning for diplomatic video analysis"],"prefix":"10.1007","volume":"79","author":[{"given":"Hongyan","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fangxin","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4042-6044","authenticated-orcid":false,"given":"Huaping","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,10,6]]},"reference":[{"issue":"22","key":"6650_CR1","first-page":"1","volume":"76","author":"A Banitalebi-Dehkordi","year":"2018","unstructured":"Banitalebi-Dehkordi A, Pourazad MT, Nasiopoulos P (2018) A learning-based visual saliency prediction model for stereoscopic 3D video (LBVS-3D)[J]. Multimed Tools Appl 76(22):1\u201332","journal-title":"Multimed Tools Appl"},{"issue":"8","key":"6650_CR2","doi-asserted-by":"publisher","first-page":"1617","DOI":"10.1109\/TPAMI.2016.2608901","volume":"39","author":"X Chang","year":"2017","unstructured":"Chang X, Yu YL, Yang Y et al (2017) Semantic pooling for complex event analysis in untrimmed videos[J]. IEEE Trans Pattern Anal Mach Intell 39(8):1617\u20131632","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"6650_CR3","unstructured":"Chen X, Gupta A (2017) An implementation of faster RCNN with study for region sampling[J]"},{"issue":"2","key":"6650_CR4","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1177\/1940161208314657","volume":"13","author":"RM Entman","year":"2008","unstructured":"Entman RM (2008) Theorizing mediated public diplomacy: the U.S. case[J]. International Journal of Press\/Politics 13(2):87\u2013102","journal-title":"International Journal of Press\/Politics"},{"key":"6650_CR5","first-page":"1","volume":"10","author":"Y Fang","year":"2018","unstructured":"Fang Y, Zhang C, Yang W et al (2018) Blind visual quality assessment for image super-resolution by convolutional neural network[J]. Multimed Tools Appl 10:1\u201318","journal-title":"Multimed Tools Appl"},{"key":"6650_CR6","unstructured":"Girshick R (2015) Fast R-CNN[C]\/\/ IEEE International Conference on Computer Vision. IEEE Computer Society, p 1440\u20131448"},{"key":"6650_CR7","first-page":"297","volume-title":"Simultaneous detection and segmentation[C]\/\/ European conference on computer vision","author":"B Hariharan","year":"2014","unstructured":"Hariharan B, Arbel\u00e1ez P, Girshick R et al (2014) Simultaneous detection and segmentation[C]\/\/ European conference on computer vision. Springer, Cham, pp 297\u2013312"},{"issue":"9","key":"6650_CR8","first-page":"3000","volume":"32","author":"C Hua","year":"2011","unstructured":"Hua C, Xiao TJ (2011) Moving object detection algorithm with gauss modeling based on FPGA[J]. Computer Engineering & Design 32(9):3000\u20133003","journal-title":"Computer Engineering & Design"},{"key":"6650_CR9","unstructured":"Jia Y, Shelhamer E, Donahue J, et al (2014) Caffe: convolutional architecture for fast feature embedding[C]\/\/ Proceedings of the 22nd ACM International Conference on Multimedia. ACM, p 675\u2013678"},{"issue":"3","key":"6650_CR10","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1017\/S0021849904040255","volume":"44","author":"A Kendrick","year":"2004","unstructured":"Kendrick A, Fullerton JA (2004) Advertising as public diplomacy: attitude change among international audiences[J]. J Advert Res 44(3):297\u2013311","journal-title":"J Advert Res"},{"key":"6650_CR11","unstructured":"Le THN, Zheng Y, Zhu C, et al (2016) Multiple scale Faster-RCNN approach to driver\u2019s cell-phone usage and hands on steering wheel detection[C]\/\/ Computer Vision and Pattern Recognition Workshops. IEEE, 46\u201353"},{"issue":"4","key":"6650_CR12","doi-asserted-by":"publisher","first-page":"766","DOI":"10.1109\/TSMC.2017.2736248","volume":"49","author":"Huaping Liu","year":"2019","unstructured":"Liu H, Liu H, Sun F, Fang B (2018) Kernel regularized nonlinear dictionary learning for sparse coding. IEEE T Syst Man CY-S. \nhttps:\/\/doi.org\/10.1109\/TSMC.2017.2736248","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems"},{"issue":"2","key":"6650_CR13","doi-asserted-by":"publisher","first-page":"648","DOI":"10.1109\/TCYB.2017.2647904","volume":"48","author":"M Luo","year":"2017","unstructured":"Luo M, Chang X, Nie L et al (2017) An adaptive semi-supervised feature analysis for video semantic recognition.[J]. IEEE Trans Cybern 48(2):648\u2013660","journal-title":"IEEE Trans Cybern"},{"issue":"7","key":"6650_CR14","first-page":"2921","volume":"29","author":"Z Ma","year":"2018","unstructured":"Ma Z, Chang X, Xu Z et al (2018) Joint attributes and event analysis for multimedia event detection.[J]. IEEE Trans Neural Netw Learn Syst 29(7):2921\u20132930","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"6650_CR15","unstructured":"Ren S, He K, Girshick R, et al (2015) Faster R-CNN: towards real-time object detection with region proposal networks[C]\/\/ International Conference on Neural Information Processing Systems. MIT Press, p 91\u201399"},{"key":"6650_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3934\/Mine.2018.1.1","volume":"1","author":"Y Ren","year":"2018","unstructured":"Ren Y, Zhu C, Xiao S (2018) Object detection based on fast\/faster RCNN employing fully convolutional architectures[J]. Math Probl Eng 1:1\u20137","journal-title":"Math Probl Eng"},{"key":"6650_CR17","unstructured":"Shamsolmoali P, Jain DK, Zareapoor M, et al (2018) High-dimensional multimedia classification using deep CNN and extended residual units[J]. Multimed Tools Appl:1\u201316"},{"issue":"4","key":"6650_CR18","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1080\/10584600903297240","volume":"26","author":"T Sheafer","year":"2009","unstructured":"Sheafer T, Gabay I (2009) Mediated public diplomacy: a strategic contest over international agenda building and frame building[J]. Polit Commun 26(4):447\u2013467","journal-title":"Polit Commun"},{"issue":"7","key":"6650_CR19","doi-asserted-by":"publisher","first-page":"3179","DOI":"10.1109\/TII.2017.2767557","volume":"14","author":"Z Zeng","year":"2018","unstructured":"Zeng Z, Li Z, Cheng D et al (2018) Two-stream multi-rate recurrent neural network for video-based pedestrian re-identification[J]. IEEE T Ind Inform 14(7):3179\u20133186","journal-title":"IEEE T Ind Inform"},{"issue":"10","key":"6650_CR20","doi-asserted-by":"publisher","first-page":"2100","DOI":"10.1109\/TKDE.2017.2728531","volume":"29","author":"L Zhihui","year":"2017","unstructured":"Zhihui L, Feiping N, Xiaojun C et al (2017) Beyond trace ratio: weighted harmonic mean of trace ratios for multiclass discriminant analysis[J]. IEEE Trans Knowl Data Eng 29(10):2100\u20132110","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"6650_CR21","first-page":"1","volume":"11","author":"C Zhu","year":"2018","unstructured":"Zhu C, Li G (2018) A multilayer backpropagation saliency detection algorithm and its applications[J]. Multimed Tools Appl 11:1\u201317","journal-title":"Multimed Tools Appl"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-6650-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-018-6650-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-6650-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,2]],"date-time":"2020-03-02T06:16:16Z","timestamp":1583129776000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-018-6650-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10,6]]},"references-count":21,"journal-issue":{"issue":"7-8","published-print":{"date-parts":[[2020,2]]}},"alternative-id":["6650"],"URL":"https:\/\/doi.org\/10.1007\/s11042-018-6650-9","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2018,10,6]]},"assertion":[{"value":"26 July 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 August 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 September 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 October 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}