{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T22:39:28Z","timestamp":1757630368866,"version":"3.44.0"},"reference-count":68,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61803170","62006046"],"award-info":[{"award-number":["61803170","62006046"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Humanities and Social Sciences Planning Foundation from the Ministry of Education of China","award":["24YJAZH113"],"award-info":[{"award-number":["24YJAZH113"]}]},{"name":"Qing Lan Project of Jiangsu Universities"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3605630","type":"journal-article","created":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T17:54:35Z","timestamp":1756922075000},"page":"155233-155246","source":"Crossref","is-referenced-by-count":0,"title":["Recognizing Multigenerational Families From Videos in the Wild"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5368-8668","authenticated-orcid":false,"given":"Xiaoqian","family":"Qin","sequence":"first","affiliation":[{"name":"School of Geography and Planning, Huaiyin Normal University, Huai’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-0328-5009","authenticated-orcid":false,"given":"Bin","family":"Gui","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Huaiyin Normal University, Huai’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3627-2051","authenticated-orcid":false,"given":"Dong","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15555-0_13"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2012.10.019"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206828"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2015.7163147"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2840880"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2010.5652590"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-023-02919-6"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2015.7163159"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04201-0"},{"issue":"1","key":"ref10","first-page":"9","article-title":"Kinship recognition based on deep scattering wavelet convolutional neural network on wild facial image","volume":"18","author":"Najafabadi","year":"2024","journal-title":"Majlesi J. Electr. Eng."},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2025.04.002"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2022.03.020"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2022.103470"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2021.116543"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.22266\/ijies2025.0229.59"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.134"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3897\/jucs.89254"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2875346"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2691801"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106569"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2021.103265"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2717505"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.07.011"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3163707"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3531014"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.124815"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2025.04.568"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2024.109375"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02008"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2023.103662"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.128750"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-024-03493-1"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.12.031"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2393347.2393439"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2025.104327"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/s25102992"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2013.6738614"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00030"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.01.027"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-021-11631-3"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-9113-3_26"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1038\/ng.2007.13"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-013-0566-1"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICB.2016.7550072"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.03.001"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP.2018.8698734"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2011.5981801"},{"key":"ref48","first-page":"549","article-title":"Toward kinship verification using visual attributes","volume-title":"Proc. Int. Conf. Pattern Recognit.","author":"Xia"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/NCC52529.2021.9530084"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2461462"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3220040"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206818"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.3758\/s13423-017-1338-0"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0607551103"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-019-01489-2"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2967219"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.5244\/C.29.41"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273523"},{"issue":"9","key":"ref59","first-page":"207","article-title":"Distance metric learning for large margin nearest neighbor classification","volume":"10","author":"Weinberger","year":"2009","journal-title":"J. Mach. Learn. Res."},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2016.08.009"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2376934"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.10.055"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2929939"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/142"},{"article-title":"Deep one-class classification","volume-title":"Int. Conf. Mach. Learn","author":"Ruff","key":"ref65"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00088"},{"article-title":"Lipschitz continuous autoencoders in application to anoma1y detection","volume-title":"IEEE Int. Conf. Artif. Intell. Statist","author":"Kim","key":"ref67"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1145\/3134421.3134425"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11148236.pdf?arnumber=11148236","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T17:48:04Z","timestamp":1757526484000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11148236\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":68,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3605630","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2025]]}}}