{"id":"https://openalex.org/W4285201249","doi":"https://doi.org/10.1109/tifs.2022.3189527","title":"Deep Metric Color Embeddings for Splicing Localization in Severely Degraded Images","display_name":"Deep Metric Color Embeddings for Splicing Localization in Severely Degraded Images","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285201249","doi":"https://doi.org/10.1109/tifs.2022.3189527"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2022.3189527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2022.3189527","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027460257","display_name":"Benjamin Hadwiger","orcid":"https://orcid.org/0000-0003-0646-8993"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Benjamin Christopher Hadwiger","raw_affiliation_strings":["IT Security Infrastructures Laboratory, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"IT Security Infrastructures Laboratory, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049250339","display_name":"Christian Rie\u00df","orcid":"https://orcid.org/0000-0002-5556-5338"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Riess","raw_affiliation_strings":["IT Security Infrastructures Laboratory, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"IT Security Infrastructures Laboratory, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027460257"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":0.302,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53195177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"17","issue":null,"first_page":"2614","last_page":"2627"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8247686624526978},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7440064549446106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7252647280693054},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.48627936840057373},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.4765927493572235},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4449114501476288},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4382937252521515},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28394442796707153},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21182048320770264}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8247686624526978},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7440064549446106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7252647280693054},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.48627936840057373},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.4765927493572235},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4449114501476288},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4382937252521515},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28394442796707153},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21182048320770264},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2022.3189527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2022.3189527","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4699999988079071}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W759139936","https://openalex.org/W1522301498","https://openalex.org/W1575814218","https://openalex.org/W1966855663","https://openalex.org/W1983586459","https://openalex.org/W1997127867","https://openalex.org/W1999478155","https://openalex.org/W2006028575","https://openalex.org/W2022686119","https://openalex.org/W2054802527","https://openalex.org/W2055745001","https://openalex.org/W2068575457","https://openalex.org/W2088828956","https://openalex.org/W2096754397","https://openalex.org/W2098594597","https://openalex.org/W2100001370","https://openalex.org/W2108303106","https://openalex.org/W2108598243","https://openalex.org/W2111963040","https://openalex.org/W2140117117","https://openalex.org/W2142738546","https://openalex.org/W2152825437","https://openalex.org/W2154264220","https://openalex.org/W2162192649","https://openalex.org/W2164147879","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2519060067","https://openalex.org/W2541922885","https://openalex.org/W2543923489","https://openalex.org/W2547589364","https://openalex.org/W2553152707","https://openalex.org/W2556952061","https://openalex.org/W2561004319","https://openalex.org/W2743750471","https://openalex.org/W2756090272","https://openalex.org/W2801560392","https://openalex.org/W2802701183","https://openalex.org/W2888338418","https://openalex.org/W2888519208","https://openalex.org/W2892187710","https://openalex.org/W2912940386","https://openalex.org/W2923009181","https://openalex.org/W2939351449","https://openalex.org/W2953875340","https://openalex.org/W2962708773","https://openalex.org/W2962830107","https://openalex.org/W2963359792","https://openalex.org/W2963684180","https://openalex.org/W2970306554","https://openalex.org/W2981803355","https://openalex.org/W3023527190","https://openalex.org/W3034530968","https://openalex.org/W3034909238","https://openalex.org/W3098779409","https://openalex.org/W3100415668","https://openalex.org/W3133516147","https://openalex.org/W3135434620","https://openalex.org/W3161986877","https://openalex.org/W4230472795","https://openalex.org/W4235593161","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6729100687","https://openalex.org/W6739879593","https://openalex.org/W6760953359","https://openalex.org/W6769517210","https://openalex.org/W6776283010"],"related_works":["https://openalex.org/W2049757131","https://openalex.org/W2352937602","https://openalex.org/W3032257599","https://openalex.org/W2089080948","https://openalex.org/W1977788373","https://openalex.org/W2029591773","https://openalex.org/W2584984915","https://openalex.org/W1981206111","https://openalex.org/W1978048487","https://openalex.org/W3018372162"],"abstract_inverted_index":{"One":[0],"common":[1],"task":[2],"in":[3,134,139,185],"image":[4,35,146],"forensics":[5,220],"is":[6,61,76,99,114],"to":[7,17,57,69,77,119,132,178,197],"detect":[8],"spliced":[9],"images,":[10],"where":[11],"multiple":[12],"source":[13],"images":[14,66,173],"are":[15,45],"composed":[16],"one":[18,116],"output":[19],"image.":[20,84],"Most":[21],"of":[22,40,82,95,169,192,216],"the":[23,41,79,93,128,140,162,167,170,189,193,200,204,214],"currently":[24],"best":[25],"performing":[26],"splicing":[27,58],"detectors":[28],"leverage":[29],"high-frequency":[30,105],"artifacts.":[31,106],"However,":[32],"after":[33],"an":[34,54,83],"underwent":[36],"strong":[37,70,179],"compression,":[38],"most":[39],"high":[42],"frequency":[43],"artifacts":[44],"not":[46],"available":[47],"anymore.":[48],"In":[49,156],"this":[50,210],"work,":[51],"we":[52,159],"explore":[53],"alternative":[55],"approach":[56],"detection,":[59],"which":[60],"potentially":[62],"better":[63],"suited":[64],"for":[65],"in-the-wild,":[67],"subject":[68,177],"compression":[71,180],"and":[72,98,122,181,203,218],"downsampling.":[73,182],"Our":[74],"proposal":[75],"model":[78],"color":[80,86,121],"formation":[81,87],"The":[85],"largely":[88],"depends":[89],"on":[90,104,115,127,172],"variations":[91,133],"at":[92,213],"scale":[94],"scene":[96,205],"objects,":[97],"hence":[100],"much":[101],"less":[102],"dependent":[103],"We":[107,183],"learn":[108],"a":[109],"deep":[110],"metric":[111,194],"space":[112,142,165],"that":[113,144,161,174],"hand":[117,130],"sensitive":[118],"illumination":[120],"camera":[123,202],"white-point":[124],"estimation,":[125],"but":[126],"other":[129],"insensitive":[131],"object":[135],"color.":[136,207],"Large":[137],"distances":[138],"embedding":[141,164],"indicate":[143],"two":[145,186],"regions":[147],"either":[148],"stem":[149],"from":[150,223],"different":[151,154],"scenes":[152],"or":[153],"cameras.":[155],"our":[157],"evaluation,":[158],"show":[160],"proposed":[163],"outperforms":[166],"state":[168],"art":[171],"have":[175],"been":[176],"confirm":[184],"further":[187],"experiments":[188],"dual":[190],"nature":[191],"space,":[195],"namely":[196],"both":[198,224],"characterize":[199],"acquisition":[201],"illuminant":[206],"As":[208],"such,":[209],"work":[211],"resides":[212],"intersection":[215],"physics-based":[217],"statistical":[219],"with":[221],"benefits":[222],"sides.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}