{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T10:05:07Z","timestamp":1743069907565,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":30,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811329210"},{"type":"electronic","value":"9789811329227"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-981-13-2922-7_30","type":"book-chapter","created":{"date-parts":[[2018,10,10]],"date-time":"2018-10-10T18:30:24Z","timestamp":1539196224000},"page":"442-460","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["SRE-Net Model for Automatic Social Relation Extraction from Video"],"prefix":"10.1007","author":[{"given":"Lili","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinna","family":"Lv","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,10,11]]},"reference":[{"key":"30_CR1","doi-asserted-by":"crossref","unstructured":"Gopalan, R.: Image clustering under domain shift. In: 2017 IEEE Third International Conference on Multimedia Big Data (BigMM), pp. 74\u201377. IEEE (2017)","DOI":"10.1109\/BigMM.2017.16"},{"key":"30_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1007\/978-3-319-73603-7_29","volume-title":"MultiMedia Modeling","author":"J Lv","year":"2018","unstructured":"Lv, J., Liu, W., Zhou, L., Wu, B., Ma, H.: Multi-stream fusion model for social relation recognition from videos. In: Schoeffmann, K., et al. (eds.) MMM 2018. LNCS, vol. 10704, pp. 355\u2013368. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-73603-7_29"},{"issue":"10","key":"30_CR3","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."},{"key":"30_CR4","unstructured":"Kumar, N., Rai, P., Pulla, C., Jawahar, C.V.: Video scene segmentation with a semantic similarity. In: IICAI (2014)"},{"key":"30_CR5","doi-asserted-by":"crossref","unstructured":"Amato, F., Moscato, V., Picariello, A., Sperl\u00ed, G.: Recommendation in social media networks. In: 2017 IEEE Third International Conference on Multimedia Big Data (BigMM), pp. 213\u2013216. IEEE (2017)","DOI":"10.1109\/BigMM.2017.55"},{"key":"30_CR6","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.neunet.2014.09.003","volume":"61","author":"J Schmidhuber","year":"2014","unstructured":"Schmidhuber, J.: Deep learning in neural networks: an overview. Neural Netw. 61, 85\u2013117 (2014)","journal-title":"Neural Netw."},{"key":"30_CR7","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.neucom.2018.05.083","volume":"312","author":"Mei Wang","year":"2018","unstructured":"Wang, M., Deng, W.: Deep visual domain adaptation: a survey (2018)","journal-title":"Neurocomputing"},{"key":"30_CR8","doi-asserted-by":"crossref","unstructured":"Young, T., Hazarika, D., Poria, S., Cambria, E.: Recent trends in deep learning based natural language processing (2017)","DOI":"10.1109\/MCI.2018.2840738"},{"key":"30_CR9","doi-asserted-by":"crossref","unstructured":"Schmidhuber, J.: Deep Learning in Neural Networks. Elsevier Science Ltd. (2015)","DOI":"10.1016\/j.neunet.2014.09.003"},{"issue":"7","key":"30_CR10","doi-asserted-by":"publisher","first-page":"725","DOI":"10.1007\/s00138-017-0843-5","volume":"28","author":"S Li","year":"2017","unstructured":"Li, S., Ma, H.: A siamese inception architecture network for person re-identification. Mach. Vis. Appl. 28(7), 725\u2013736 (2017)","journal-title":"Mach. Vis. Appl."},{"key":"30_CR11","doi-asserted-by":"crossref","unstructured":"Zhang, N., Paluri, M., Taigman, Y., Fergus, R.: Beyond frontal faces: improving person recognition using multiple cues. In: Computer Vision and Pattern Recognition, pp. 4804\u20134813. IEEE (2015)","DOI":"10.1109\/CVPR.2015.7299113"},{"key":"30_CR12","doi-asserted-by":"crossref","unstructured":"Wojke, N., Bewley, A., Paulus, D.: Simple online and realtime tracking with a deep association metric. In: IEEE International Conference on Image Processing, pp. 3645\u20133649. IEEE (2017)","DOI":"10.1109\/ICIP.2017.8296962"},{"key":"30_CR13","doi-asserted-by":"crossref","unstructured":"Sun, Q., Schiele, B., Fritz, M.: A domain based approach to social relation recognition. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 435\u2013444. IEEE Computer Society (2017)","DOI":"10.1109\/CVPR.2017.54"},{"issue":"5","key":"30_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11263-017-1055-1","volume":"126","author":"Z Zhang","year":"2018","unstructured":"Zhang, Z., Luo, P., Chen, C.L., Tang, X.: From facial expression recognition to interpersonal relation prediction. Int. J. Comput. Vis. 126(5), 1\u201320 (2018)","journal-title":"Int. J. Comput. Vis."},{"key":"30_CR15","doi-asserted-by":"crossref","unstructured":"Rohrbach, A., Rohrbach, M., Tang, S., Oh, S.J., Schiele, B.: Generating descriptions with grounded and co-referenced people (2017)","DOI":"10.1109\/CVPR.2017.447"},{"key":"30_CR16","doi-asserted-by":"crossref","unstructured":"Minoi, J.L., Jupit, A.J.R., Gillies, D.F., Arnab, S.: Facial expressions reconstruction of 3D faces based on real human data. In: IEEE International Conference on Computational Intelligence and Cybernetics, pp. 185\u2013189. IEEE (2012)","DOI":"10.1109\/CyberneticsCom.2012.6381643"},{"key":"30_CR17","doi-asserted-by":"crossref","unstructured":"Oh, S.J., Benenson, R., Fritz, M., Schiele, B.: Person recognition in personal photo collections. In: IEEE International Conference on Computer Vision, pp. 3862\u20133870. IEEE Computer Society (2015)","DOI":"10.1109\/ICCV.2015.440"},{"key":"30_CR18","doi-asserted-by":"crossref","unstructured":"Sun, Y., Wang, X., Tang, X.: Deep learning face representation from predicting 10,000 classes. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1891\u20131898. IEEE Computer Society (2014)","DOI":"10.1109\/CVPR.2014.244"},{"key":"30_CR19","doi-asserted-by":"crossref","unstructured":"Taigman, Y., Yang, M., Ranzato, M., Wolf, L.: DeepFace: closing the gap to human-Level performance in face verification. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1701\u20131708. IEEE Computer Society (2014)","DOI":"10.1109\/CVPR.2014.220"},{"key":"30_CR20","doi-asserted-by":"crossref","unstructured":"Nan, C.J., Kim, K.M., Zhang, B.T.: Social network analysis of TV drama characters via deep concept hierarchies, pp. 831\u2013836 (2015)","DOI":"10.1145\/2808797.2809306"},{"key":"30_CR21","doi-asserted-by":"crossref","unstructured":"Barr, J.R., Cament, L.A., Bowyer, K.W., Flynn, P.J.: Active clustering with ensembles for social structure extraction. In: Applications of Computer Vision, pp. 969\u2013976. IEEE (2014)","DOI":"10.1109\/WACV.2014.6835999"},{"key":"30_CR22","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Luo, P., Loy, C.C., Tang, X.: Learning social relation traits from face images. In: IEEE International Conference on Computer Vision, pp. 3631\u20133639. IEEE (2015)","DOI":"10.1109\/ICCV.2015.414"},{"key":"30_CR23","doi-asserted-by":"crossref","unstructured":"Li, J., Wong, Y., Zhao, Q., Kankanhalli, M.S.: Dual-glance model for deciphering social relationships. In: IEEE International Conference on Computer Vision, pp. 2669\u20132678. IEEE (2017)","DOI":"10.1109\/ICCV.2017.289"},{"key":"30_CR24","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreitet, J., Jones, L., Gomez, A.N., et al.: Attention is all you need (2017)"},{"key":"30_CR25","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L., Li, K., Li, F.: ImageNet: a large-scale hierarchical image database. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009, pp. 248\u2013255. IEEE (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"30_CR26","doi-asserted-by":"crossref","unstructured":"Tran, D., Bourdev, L., Fergus, R., Torresani, L., Paluri, M.: Learning spatiotemporal features with 3D convolutional networks, pp. 4489\u20134497 (2014)","DOI":"10.1109\/ICCV.2015.510"},{"key":"30_CR27","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Liu, W., Jia, Y., Sermanetet, P., Reed, S., Angueloval, D., et al.: Going deeper with convolutions, pp. 1\u20139 (2014)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"30_CR28","doi-asserted-by":"crossref","unstructured":"Zhou, L., Lv, J., Wu, B.: Social network construction of the role relation in unstructured data based on multi-view. In: IEEE Second International Conference on Data Science in Cyberspace, pp. 382\u2013388. IEEE Computer Society (2017)","DOI":"10.1109\/DSC.2017.78"},{"issue":"7553","key":"30_CR29","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y Lecun","year":"2015","unstructured":"Lecun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521(7553), 436 (2015)","journal-title":"Nature"},{"key":"30_CR30","doi-asserted-by":"crossref","unstructured":"Schroff, F., Kalenichenko, D., Philbin, J.: Facenet: a unified embedding for face recognition and clustering. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 815\u2013823 (2015)","DOI":"10.1109\/CVPR.2015.7298682"}],"container-title":["Communications in Computer and Information Science","Big Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-13-2922-7_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T15:22:19Z","timestamp":1710343339000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-13-2922-7_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9789811329210","9789811329227"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-981-13-2922-7_30","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"11 October 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Big Data","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"CCF Conference on Big Data","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xi'an","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 October 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 October 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bigdat2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.cvris.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}