{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T15:31:43Z","timestamp":1778081503017,"version":"3.51.4"},"reference-count":68,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006602","name":"DARPA and Air Force Research Laboratory","doi-asserted-by":"publisher","award":["FA8750-16-2-0173"],"award-info":[{"award-number":["FA8750-16-2-0173"]}],"id":[{"id":"10.13039\/100006602","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007065","name":"NVIDIA Corporation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007065","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001807","name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo (FAPESP)","doi-asserted-by":"publisher","award":["2017\/12646-3"],"award-info":[{"award-number":["2017\/12646-3"]}],"id":[{"id":"10.13039\/501100001807","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior (CAPES)","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003593","name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","doi-asserted-by":"publisher","award":["304497\/2018-5"],"award-info":[{"award-number":["304497\/2018-5"]}],"id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans.Inform.Forensic Secur."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tifs.2021.3050061","type":"journal-article","created":{"date-parts":[[2021,1,9]],"date-time":"2021-01-09T16:03:54Z","timestamp":1610208234000},"page":"2493-2507","source":"Crossref","is-referenced-by-count":18,"title":["Transformation-Aware Embeddings for Image Provenance"],"prefix":"10.1109","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6404-9466","authenticated-orcid":false,"given":"Aparna","family":"Bharati","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9757-5756","authenticated-orcid":false,"given":"Daniel","family":"Moreira","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5446-114X","authenticated-orcid":false,"given":"Patrick J.","family":"Flynn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4236-8212","authenticated-orcid":false,"given":"Anderson","family":"de Rezende Rocha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7562-4390","authenticated-orcid":false,"given":"Kevin W.","family":"Bowyer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9649-8074","authenticated-orcid":false,"given":"Walter J.","family":"Scheirer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273513"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102363"},{"key":"ref33","first-page":"1857","article-title":"Improved deep metric learning with multi-class n-pair loss objective","author":"sohn","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref32","first-page":"5385","article-title":"Learning local image descriptors with deep siamese and triplet convolutional networks by minimising global loss functions","author":"kumar","year":"2016","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.22"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.47"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-7299-4_17"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.145"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.492"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.02.018"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref62","year":"2019","journal-title":"Google-Landmarks Dataset Label Famous (and Not-So-Famous) Landmarks in Images"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10578-9_5"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref28","article-title":"Descriptor matching with convolutional neural networks: A comparison to SIFT","author":"fischer","year":"2014","journal-title":"arXiv 1405 5769"},{"key":"ref64","author":"mattmann","year":"2018","journal-title":"DeepRanking Based Image Similarity Implementation"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.523"},{"key":"ref65","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383172"},{"key":"ref29","article-title":"Classification is a strong baseline for deep metric learning","author":"zhai","year":"2018","journal-title":"arXiv 1811 12649"},{"key":"ref67","year":"2017","journal-title":"Nimble Challenge 2017 Evaluation Plan"},{"key":"ref68","year":"2017","journal-title":"MediScore Scoring Tools for Media Forensics Evaluations"},{"key":"ref2","year":"2019","journal-title":"The Big Loophole That Helped Russia Exploit Facebook Doctored Photos"},{"key":"ref1","author":"farid","year":"2019","journal-title":"Don’t Be Fooled by Fake Images and Videos Online"},{"key":"ref20","author":"turek","year":"2020","journal-title":"DARPA Media Forensics (MediFor) Program"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2019.2921572"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.379"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2888856"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_28"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0908-3"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299064"},{"key":"ref50","first-page":"2193","article-title":"Margin-based ranking and an equivalence between AdaBoost and RankBoost","volume":"10","author":"rudin","year":"2009","journal-title":"J Mach Learn Res"},{"key":"ref51","first-page":"1139","article-title":"On the importance of initialization and momentum in deep learning","author":"sutskever","year":"2013","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref59","first-page":"84","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.374"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2015.2493989"},{"key":"ref56","year":"2017","journal-title":"Nimble Challenge 2017 Evaluation"},{"key":"ref55","article-title":"Image processing operations identification via convolutional neural network","author":"chen","year":"2017","journal-title":"arXiv 1709 02908"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00185"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.2307\/2033241"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/WACVW.2019.00018"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7026082"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296535"},{"key":"ref40","first-page":"315","article-title":"Ranking measures and loss functions in learning to rank","author":"chen","year":"2009","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/11744023_32"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.180"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_7"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00116"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2804768"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_11"},{"key":"ref19","article-title":"FaceForensics: A large-scale video dataset for forgery detection in human faces","author":"r\u00f6ssler","year":"2018","journal-title":"arXiv 1803 09179"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1978802.1978805"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"6109","DOI":"10.1109\/TIP.2018.2865674","article-title":"Image provenance analysis at scale","volume":"27","author":"moreira","year":"2018","journal-title":"IEEE Trans Image Process"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2015.2455334"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2012.2218597"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2011.2169959"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2593583"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.forsciint.2013.05.002"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.2352\/ISSN.2470-1173.2018.07.MWSF-213"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2825953"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2924552"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.2999827"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00196"},{"key":"ref41","first-page":"1","article-title":"Multiple-instance ranking: Learning to rank images for image retrieval","author":"hu","year":"2008","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2015.2510958"},{"key":"ref43","first-page":"211","article-title":"Detection and information theoretic measures for quantifying the distinguishability between multimedia operator chains","author":"comesa\u00f1a","year":"2012","journal-title":"Proc IEEE Int Workshop Inf Forensics Secur"}],"container-title":["IEEE Transactions on Information Forensics and Security"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10206\/9151439\/09316916.pdf?arnumber=9316916","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:52:38Z","timestamp":1652194358000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9316916\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":68,"URL":"https:\/\/doi.org\/10.1109\/tifs.2021.3050061","relation":{},"ISSN":["1556-6013","1556-6021"],"issn-type":[{"value":"1556-6013","type":"print"},{"value":"1556-6021","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}