{"id":"https://openalex.org/W2162207217","doi":"https://doi.org/10.1109/tifs.2012.2185696","title":"Manipulation Detection on Image Patches Using FusionBoost","display_name":"Manipulation Detection on Image Patches Using FusionBoost","publication_year":2012,"publication_date":"2012-01-23","ids":{"openalex":"https://openalex.org/W2162207217","doi":"https://doi.org/10.1109/tifs.2012.2185696","mag":"2162207217"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2012.2185696","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2012.2185696","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/A5101971891","display_name":"Hong Cao","orcid":"https://orcid.org/0000-0002-3793-6844"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Hong Cao","raw_affiliation_strings":["Institute for Infocomm Research (I2R), Agency for Science, Technology and Research, Singapore","Institute for Infocomm Research (I2R), A*STAR, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research (I2R), Agency for Science, Technology and Research, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]},{"raw_affiliation_string":"Institute for Infocomm Research (I2R), A*STAR, Singapore, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080977911","display_name":"Alex C. Kot","orcid":"https://orcid.org/0000-0001-6262-8125"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Alex C. Kot","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101971891"],"corresponding_institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"],"apc_list":null,"apc_paid":null,"fwci":3.2946,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.93370356,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"7","issue":"3","first_page":"992","last_page":"1002"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9750000238418579,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7897089123725891},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7811310887336731},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6607944965362549},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6122716069221497},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5775989294052124},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.54679274559021},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.531636118888855},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4818938374519348},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4471481442451477},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.43869689106941223}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7897089123725891},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7811310887336731},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6607944965362549},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6122716069221497},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5775989294052124},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.54679274559021},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.531636118888855},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4818938374519348},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4471481442451477},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.43869689106941223},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tifs.2012.2185696","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2012.2185696","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"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/95869","is_oa":false,"landing_page_url":"http://hdl.handle.net/10220/11373","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W26866272","https://openalex.org/W120119343","https://openalex.org/W1988790447","https://openalex.org/W2006028575","https://openalex.org/W2032210760","https://openalex.org/W2035192779","https://openalex.org/W2070040249","https://openalex.org/W2081698350","https://openalex.org/W2084641094","https://openalex.org/W2096754397","https://openalex.org/W2099013489","https://openalex.org/W2104862701","https://openalex.org/W2107461197","https://openalex.org/W2107467442","https://openalex.org/W2109943925","https://openalex.org/W2111374353","https://openalex.org/W2114667516","https://openalex.org/W2123889042","https://openalex.org/W2130225759","https://openalex.org/W2130392010","https://openalex.org/W2130602271","https://openalex.org/W2137962663","https://openalex.org/W2140274257","https://openalex.org/W2142738546","https://openalex.org/W2151496117","https://openalex.org/W2153244807","https://openalex.org/W2155180118","https://openalex.org/W2155319953","https://openalex.org/W2158972589","https://openalex.org/W2160767978","https://openalex.org/W2162192649","https://openalex.org/W2163773153","https://openalex.org/W2338723487","https://openalex.org/W4244098250","https://openalex.org/W4244952642","https://openalex.org/W4255023712","https://openalex.org/W6604906609","https://openalex.org/W6679542102"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2090763504","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W2000775715","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599"],"abstract_inverted_index":{"In":[0,169],"this":[1],"paper,":[2],"we":[3,42,82,174],"propose":[4],"a":[5,14,34,38,84,144],"novel":[6],"manipulation":[7,86,149],"detection":[8,134,172],"framework":[9,160],"for":[10,105,151,165],"image":[11,36,122,152,184],"patches":[12,119,153],"using":[13,88],"fusion":[15],"procedure,":[16],"called":[17],"FusionBoost,":[18],"in":[19,141,182],"conjunction":[20],"with":[21],"accurately":[22],"detected":[23],"derivative":[24,51,59],"correlation":[25,52,60],"features.":[26,61],"By":[27,111],"first":[28],"dividing":[29],"all":[30],"demosaiced":[31],"samples":[32],"of":[33,40,58,101,137,147,178],"color":[35],"into":[37,66],"number":[39],"categories,":[41],"estimate":[43],"their":[44],"underlying":[45],"demosaicing":[46,73],"formulas":[47],"based":[48],"on":[49,116,186],"partial":[50],"models":[53],"and":[54,75],"extract":[55],"several":[56,155,170],"types":[57],"The":[62],"features":[63],"are":[64],"organized":[65],"small":[67],"subsets":[68],"according":[69],"to":[70,97,139],"both":[71],"the":[72,76,99,107,113,176,179],"category":[74],"feature":[77],"type.":[78],"For":[79],"each":[80],"subset,":[81],"train":[83],"lightweight":[85],"detector":[87,104,115],"probabilistic":[89],"support":[90],"vector":[91],"machines.":[92],"FusionBoost":[93],"is":[94],"then":[95],"proposed":[96,129,180],"learn":[98],"weights":[100],"an":[102],"ensemble":[103,114],"achieving":[106],"minimum":[108],"error":[109,135],"rate.":[110],"applying":[112],"cropped":[117],"photo":[118],"from":[120,154],"different":[121,156],"sources,":[123],"large-scale":[124],"experiments":[125],"show":[126],"that":[127],"our":[128],"method":[130,181],"achieves":[131],"low":[132],"average":[133],"rates":[136],"2.0%":[138],"4.3%":[140],"simultaneously":[142],"detecting":[143,183],"large":[145],"variety":[146],"common":[148],"attempts":[150],"source":[157],"models.":[158],"Our":[159],"shows":[161],"good":[162],"learning":[163],"efficiency":[164],"highly":[166],"imbalanced":[167],"tasks.":[168],"patch-based":[171],"examples,":[173],"demonstrate":[175],"efficacy":[177],"manipulations":[185],"local":[187],"patches.":[188]},"counts_by_year":[{"year":2023,"cited_by_count":14},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}