乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,26]],"date-time":"2024-09-26T15:40:03Z","timestamp":1727365203302},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T00:00:00Z","timestamp":1654560000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T00:00:00Z","timestamp":1654560000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100011789","name":"department of science and technology of jilin province","doi-asserted-by":"publisher","award":["20180201003GX"],"id":[{"id":"10.13039\/501100011789","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimedia Systems"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1007\/s00530-022-00949-z","type":"journal-article","created":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T05:02:55Z","timestamp":1654578175000},"page":"2227-2236","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Micro-expression recognition based on SqueezeNet and C3D"],"prefix":"10.1007","volume":"28","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-5133-329X","authenticated-orcid":false,"given":"Shuhua","family":"Liu","sequence":"first","affiliation":[]},{"given":"Yushu","family":"Ren","sequence":"additional","affiliation":[]},{"given":"Lanting","family":"Li","sequence":"additional","affiliation":[]},{"given":"Xiaoyu","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Yu","family":"Song","sequence":"additional","affiliation":[]},{"given":"Chih-Cheng","family":"Hung","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,7]]},"reference":[{"key":"949_CR1","volume-title":"Telling Lies: Clues to Deceit in the Marketplace, Politics, and Marriage (Revised edition)","author":"P Ekman","year":"2009","unstructured":"Ekman, P.: Telling Lies: Clues to Deceit in the Marketplace, Politics, and Marriage (Revised edition). WW Norton & Company, New York (2009)"},{"issue":"4","key":"949_CR2","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/s10919-013-0159-8","volume":"37","author":"WJ Yan","year":"2013","unstructured":"Yan, W.J., Wu, Q., Liang, J., Chen, Y.H., Fu, X.: How fast are the leaked facial expressions: The duration of micro-expressions. J. Nonverbal Behav. 37(4), 217\u2013230 (2013)","journal-title":"J. Nonverbal Behav."},{"issue":"1","key":"949_CR3","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1080\/00332747.1969.11023575","volume":"32","author":"P Ekman","year":"1969","unstructured":"Ekman, P., Friesen, W.V.: Nonverbal leakage and clues to deception. Psychiatry 32(1), 88\u2013106 (1969)","journal-title":"Psychiatry"},{"key":"949_CR4","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1093\/acprof:oso\/9780195327939.003.0008","volume-title":"The Philosophy of Deception","author":"P Ekman","year":"2009","unstructured":"Ekman, P.: Lie catching and microexpressions. In: The Philosophy of Deception, pp. 118\u2013133. Oxford University Press, Oxford (2009)"},{"key":"949_CR5","first-page":"345","volume-title":"Automatic Micro-expression Recognition from Long Video Using a Single Spotted Apex. Asian Conference on Computer Vision","author":"ST Liong","year":"2016","unstructured":"Liong, S.T., See, J., Wong, K.S., Phan, C.W.: Automatic Micro-expression Recognition from Long Video Using a Single Spotted Apex. Asian Conference on Computer Vision, pp. 345\u2013360. Springer, Cham (2016)"},{"key":"949_CR6","unstructured":"Iandola, F.N., Han, S., Moskewicz, M.W., Ashraf, K., Dally, W.J., Keutzer, K.: SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size (2016). Preprint at arXiv:1602.07360"},{"key":"949_CR7","doi-asserted-by":"crossref","unstructured":"Tran, D., Bourdev, L., Fergus, R., Torresani, L., Paluri, M.: Learning spatiotemporal features with 3D convolutional networks. In: IEEE Int. Conf. Comput. Vis. 4489\u20134497 (2015)","DOI":"10.1109\/ICCV.2015.510"},{"issue":"1","key":"949_CR8","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0086041","volume":"9","author":"WJ Yan","year":"2014","unstructured":"Yan, W.J., Li, X., Wang, S.J., Zhao, G., Liu, Y.J., Chen, Y.H., Fu, X.: CASME II: An improved spontaneous micro-expression database and the baseline evaluation. PLoS ONE 9(1), e86041 (2014)","journal-title":"PLoS ONE"},{"issue":"99","key":"949_CR9","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1109\/TAFFC.2016.2573832","volume":"9","author":"AK Davison","year":"2018","unstructured":"Davison, A.K., Lansley, C., Costen, N., Tan, K., Yap, M.H.: SAMM: A spontaneous micro-facial movement dataset. IEEE Trans. Affect. Comput. 9(99), 116\u2013129 (2018)","journal-title":"IEEE Trans. Affect. Comput."},{"key":"949_CR10","doi-asserted-by":"crossref","unstructured":"Li, X., Pfister, T., Huang, X., Zhao, G., Pietikainen, M.: A spontaneous micro-expression database: inducement, collection and baseline. In: 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) (2013)","DOI":"10.1109\/FG.2013.6553717"},{"key":"949_CR11","doi-asserted-by":"crossref","unstructured":"Shreve, M., Godavarthy, S., Goldgof, D., Sarkar, S.: Macro- and micro-expression spotting in long videos using spatio-temporal strain. IEEE Comput. Soc. 51\u201356 (2011)","DOI":"10.1109\/FG.2011.5771451"},{"key":"949_CR12","doi-asserted-by":"crossref","unstructured":"Davison, A., Merghani, W., Lansley, C., Ng, C.C., Yap, M.H.: Objective micro-facial movement detection using FACS-based regions and baseline evaluation. In: IEEE International Conference on Automatic Face & Gesture, pp. 642\u2013649 (2018)","DOI":"10.1109\/FG.2018.00101"},{"key":"949_CR13","volume-title":"Facial Action Coding System: A Technique for the Measurement of Facial Movement","author":"P Ekman","year":"1978","unstructured":"Ekman, P., Friesen, W.V.: Facial Action Coding System: A Technique for the Measurement of Facial Movement. Consulting Psychologists Press, Palo Alto (1978)"},{"key":"949_CR14","doi-asserted-by":"crossref","unstructured":"Duque, C.A., Alata, O., Emonet, R., Legrand, A.C., Konik, H.: Micro-expression spotting using the riesz pyramid. In: IEEE Winter Conference on Applications of Computer Vision. (2018)","DOI":"10.1109\/WACV.2018.00014"},{"key":"949_CR15","doi-asserted-by":"crossref","unstructured":"Liong, S.T., See, J., Wong, K.S., Ngo, A., Phan, R.: Automatic apex frame spotting in micro-expression database. In: IAPR Asian Conference on Pattern Recognition, pp. 665\u2013669 (2015)","DOI":"10.1109\/ACPR.2015.7486586"},{"key":"949_CR16","doi-asserted-by":"publisher","first-page":"71143","DOI":"10.1109\/ACCESS.2018.2879485","volume":"6","author":"Z Zhang","year":"2018","unstructured":"Zhang, Z., Chen, T., Meng, H., Liu, G., Fu, X.: SMEConvNet: A convolutional neural network for spotting spontaneous facial micro-expression from long videos. IEEE Access 6, 71143\u201371151 (2018)","journal-title":"IEEE Access"},{"key":"949_CR17","doi-asserted-by":"crossref","unstructured":"Pfister, T., Li, X.B., Zhao, G., Pietik\u00e4inen, M.: Recognising spontaneous facial micro-expressions. In: 2011 International Conference on Computer Vision, pp. 1449\u20131456 (2011)","DOI":"10.1109\/ICCV.2011.6126401"},{"key":"949_CR18","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1006\/cviu.1995.1004","volume":"61","author":"F Timothy","year":"1995","unstructured":"Timothy, F.: Active shape models-their training and application. Comput. Vis. Underst. 61, 38\u201359 (1995)","journal-title":"Comput. Vis. Underst."},{"key":"949_CR19","doi-asserted-by":"crossref","unstructured":"Zhou, Z., Zhao, G., Pietik\u00e4inen, M.: Towards a practical lipreading system. In: The 24th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011, Colorado Springs, CO, USA, 20\u201325 June 2011. (2011)","DOI":"10.1109\/CVPR.2011.5995345"},{"key":"949_CR20","doi-asserted-by":"crossref","unstructured":"Polikovsky, S., Kameda, Y., Ohta, Y.: Facial micro-expressions recognition using high speed camera and 3D-gradient descriptor. In: 3rd International Conference on Imaging for Crime Detection and Prevention (ICDP), pp. 1\u20136 (2009)","DOI":"10.1049\/ic.2009.0244"},{"issue":"11","key":"949_CR21","doi-asserted-by":"publisher","first-page":"3160","DOI":"10.1109\/TMM.2018.2820321","volume":"20","author":"Y Zong","year":"2018","unstructured":"Zong, Y., Huang, X., Zheng, W., Cui, Z., Zhao, G.: Learning from hierarchical spatiotemporal descriptors for micro-expression recognition. IEEE Trans. Multimedia 20(11), 3160\u20133172 (2018)","journal-title":"IEEE Trans. Multimedia"},{"key":"949_CR22","unstructured":"Patel, D., Hong, X., Zhao, G.: Selective deep features for micro-expression recognition. In: 2016 23rd International Conference on Pattern Recognition (ICPR), pp. 2258\u20132263 (2016)"},{"key":"949_CR23","doi-asserted-by":"crossref","unstructured":"Khor, H., See, J., Phan, R.C.W., Lin, W.: Enriched long-term recurrent convolutional network for facial micro-expression recognition. In: 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), pp. 667\u2013674 (2018)","DOI":"10.1109\/FG.2018.00105"},{"key":"949_CR24","doi-asserted-by":"crossref","unstructured":"Peng, M., Wu, Z., Zhang, Z., Chen, T.: From macro to micro expression recognition: deep learning on small datasets using transfer learning. In: 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), pp. 657\u2013661 (2018)","DOI":"10.1109\/FG.2018.00103"},{"issue":"3","key":"949_CR25","doi-asserted-by":"publisher","first-page":"626","DOI":"10.1109\/TMM.2019.2931351","volume":"22","author":"Z Xia","year":"2020","unstructured":"Xia, Z., Hong, X., Gao, X., Feng, X., Zhao, G.: Spatiotemporal recurrent convolutional networks for recognizing spontaneous micro-expressions. IEEE Trans. Multimedia 22(3), 626\u2013640 (2020)","journal-title":"IEEE Trans. Multimedia"},{"key":"949_CR26","doi-asserted-by":"crossref","unstructured":"Liong, S., Gan, Y.S., See, J., Khor, H., Huang, Y.: Shallow triple stream three-dimensional CNN (STSTNet) for micro-expression recognition. In: 2019 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019), pp. 1\u20135 (2019)","DOI":"10.1109\/FG.2019.8756567"},{"key":"949_CR27","doi-asserted-by":"crossref","unstructured":"Reddy, S.P.T., Karri, S.T., Dubey, S.R., Mukherjee, S.: Spontaneous facial micro-expression recognition using 3D spatiotemporal convolutional neural networks. In: 2019 International Joint Conference on Neural Networks (IJCNN), pp. 1\u20138 (2019)","DOI":"10.1109\/IJCNN.2019.8852419"},{"issue":"10","key":"949_CR28","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.1109\/LSP.2016.2603342","volume":"23","author":"K Zhang","year":"2016","unstructured":"Zhang, K., Zhang, Z., Li, Z., Qiao, Y.: Joint face detection and alignment using multitask cascaded convolutional networks. IEEE Signal Process. Lett. 23(10), 1499\u20131503 (2016)","journal-title":"IEEE Signal Process. Lett."},{"issue":"6","key":"949_CR29","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1145\/3065386","volume":"60","author":"A Krizhevsky","year":"2017","unstructured":"Krizhevsky, A., Sutskever, I., Hinton G.: ImageNet classification with deep convolutional neural networks. Commun. ACM 60(6), 84\u201390 (2017)","journal-title":"Commun. ACM"},{"key":"949_CR30","unstructured":"Geoffrey, H., Nitish, S., Kevin, S.S.: Neural networks for machine learning lecture 6a overview of mini-batch gradient descent. (2012)"},{"key":"949_CR31","doi-asserted-by":"crossref","unstructured":"Huang, X., Wang, S., Liu, X., Zhao, G., Feng, X., Pietik\u00e4inen, M.: Spontaneous facial micro-expression recognition using discriminative spatiotemporal local binary pattern with an improved integral projection. In: International Conference on Computer Vision(ICCV) Workshop, pp. 1\u20139 (2015)","DOI":"10.1109\/ICCVW.2015.10"},{"key":"949_CR32","doi-asserted-by":"crossref","unstructured":"Khor, H., See, J., Liong, S., Phan, R.C.W., Lin, W.: Dual-stream Shallow Networks for Facial Micro-expression Recognition. In: 2019 IEEE International Conference on Image Processing (ICIP), pp. 36\u201340 (2019)","DOI":"10.1109\/ICIP.2019.8802965"},{"key":"949_CR33","doi-asserted-by":"publisher","first-page":"1054","DOI":"10.1587\/transinf.2018EDP7153","volume":"102","author":"R Zhi","year":"2019","unstructured":"Zhi, R., Xu, H., Wan, M., Li, T.: Combining 3D convolutional neural networks with transfer learning by supervised pre-training for facial micro-expression recognition. IEICE Trans. Inf. Syst. 102, 1054\u20131064 (2019)","journal-title":"IEICE Trans. Inf. Syst."},{"issue":"16","key":"949_CR34","doi-asserted-by":"publisher","first-page":"4437","DOI":"10.3390\/s20164437","volume":"20","author":"SX Cen","year":"2020","unstructured":"Cen, S.X., Yu, Y., Yan, G., Yu, M., Yang, Q.: Sparse spatiotemporal descriptor for micro-expression recognition using enhanced local cube binary pattern. Sensors 20(16), 4437 (2020)","journal-title":"Sensors"},{"key":"949_CR35","doi-asserted-by":"publisher","first-page":"184537","DOI":"10.1109\/ACCESS.2019.2960629","volume":"7","author":"B Song","year":"2019","unstructured":"Song, B., Li, K., Zong, Y., Zhu, J., Zheng, W., Shi, J., Zhao, L.: Recognizing spontaneous micro-expression using a three-stream convolutional neural network. IEEE Access 7, 184537\u2013184551 (2019)","journal-title":"IEEE Access"},{"key":"949_CR36","doi-asserted-by":"publisher","first-page":"1618","DOI":"10.1109\/TIP.2019.2912358","volume":"29","author":"M Verma","year":"2020","unstructured":"Verma, M., Vipparthi, S.K., Singh, G., Murala, S.: LEARNet: Dynamic imaging network for micro expression recognition. IEEE Trans. Image Process. 29, 1618\u20131627 (2020)","journal-title":"IEEE Trans. Image Process."}],"container-title":["Multimedia Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-022-00949-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00530-022-00949-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-022-00949-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,26]],"date-time":"2024-09-26T15:10:14Z","timestamp":1727363414000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00530-022-00949-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,7]]},"references-count":36,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["949"],"URL":"https:\/\/doi.org\/10.1007\/s00530-022-00949-z","relation":{},"ISSN":["0942-4962","1432-1882"],"issn-type":[{"type":"print","value":"0942-4962"},{"type":"electronic","value":"1432-1882"}],"subject":[],"published":{"date-parts":[[2022,6,7]]},"assertion":[{"value":"7 July 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 April 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 June 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Authors declare no conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}