{"id":"https://openalex.org/W2986062435","doi":"https://doi.org/10.1155/2019/9492358","title":"Detection of Image Seam Carving Using a Novel Pattern","display_name":"Detection of Image Seam Carving Using a Novel Pattern","publication_year":2019,"publication_date":"2019-11-11","ids":{"openalex":"https://openalex.org/W2986062435","doi":"https://doi.org/10.1155/2019/9492358","mag":"2986062435","pmid":"https://pubmed.ncbi.nlm.nih.gov/31827494"},"language":"en","primary_location":{"id":"doi:10.1155/2019/9492358","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/9492358","pdf_url":"https://downloads.hindawi.com/journals/cin/2019/9492358.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2019/9492358.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101483966","display_name":"Ming Lu","orcid":"https://orcid.org/0000-0001-5003-7432"},"institutions":[{"id":"https://openalex.org/I114117164","display_name":"University of Science and Technology Liaoning","ror":"https://ror.org/03grx7119","country_code":"CN","type":"education","lineage":["https://openalex.org/I114117164"]},{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming Lu","raw_affiliation_strings":["Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China","School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan 114051, China"],"raw_orcid":"https://orcid.org/0000-0001-5003-7432","affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan 114051, China","institution_ids":["https://openalex.org/I114117164"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003774412","display_name":"Shaozhang Niu","orcid":"https://orcid.org/0000-0002-9639-5910"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaozhang Niu","raw_affiliation_strings":["Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China"],"raw_orcid":"https://orcid.org/0000-0002-9639-5910","affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101483966"],"corresponding_institution_ids":["https://openalex.org/I114117164","https://openalex.org/I139759216"],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":0.4522,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.65671164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2019","issue":null,"first_page":"1","last_page":"15"},"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":0.9851999878883362,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.98089998960495,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7716059684753418},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7377021908760071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6687934398651123},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6520934104919434},{"id":"https://openalex.org/keywords/seam-carving","display_name":"Seam carving","score":0.6497244834899902},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5817829966545105},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5690485239028931},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5444929599761963},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5205955505371094},{"id":"https://openalex.org/keywords/standard-test-image","display_name":"Standard test image","score":0.43213149905204773},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4147256910800934},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.4130787253379822},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3604101538658142},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2927986979484558}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7716059684753418},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7377021908760071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6687934398651123},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6520934104919434},{"id":"https://openalex.org/C23746413","wikidata":"https://www.wikidata.org/wiki/Q1141379","display_name":"Seam carving","level":3,"score":0.6497244834899902},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5817829966545105},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5690485239028931},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5444929599761963},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5205955505371094},{"id":"https://openalex.org/C180462255","wikidata":"https://www.wikidata.org/wiki/Q3559736","display_name":"Standard test image","level":4,"score":0.43213149905204773},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4147256910800934},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.4130787253379822},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3604101538658142},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2927986979484558}],"mesh":[{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1155/2019/9492358","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/9492358","pdf_url":"https://downloads.hindawi.com/journals/cin/2019/9492358.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmid:31827494","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31827494","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational intelligence and neuroscience","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:6885291","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6885291","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Comput Intell Neurosci","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:f8790e2192eb464ab111b9abc20c78bc","is_oa":false,"landing_page_url":"https://doaj.org/article/f8790e2192eb464ab111b9abc20c78bc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Intelligence and Neuroscience, Vol 2019 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2019/9492358","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/9492358","pdf_url":"https://downloads.hindawi.com/journals/cin/2019/9492358.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G2030882823","display_name":null,"funder_award_id":"U1536121","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6585739413","display_name":"\u65b0\u95fb\u7c7b\u6570\u5b57\u7167\u7247\u771f\u5b9e\u6027\u9274\u5b9a\u7684\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61370195","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2986062435.pdf","grobid_xml":"https://content.openalex.org/works/W2986062435.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1825251438","https://openalex.org/W2015914089","https://openalex.org/W2018377917","https://openalex.org/W2019573267","https://openalex.org/W2022990190","https://openalex.org/W2039051707","https://openalex.org/W2087722740","https://openalex.org/W2096933452","https://openalex.org/W2119821739","https://openalex.org/W2153635508","https://openalex.org/W2158698691","https://openalex.org/W2161969291","https://openalex.org/W2343249898","https://openalex.org/W2612429991","https://openalex.org/W2760193599","https://openalex.org/W2886043633","https://openalex.org/W2890369013","https://openalex.org/W2892850415","https://openalex.org/W4248419311"],"related_works":["https://openalex.org/W2071599417","https://openalex.org/W2048716406","https://openalex.org/W1964725559","https://openalex.org/W2979608518","https://openalex.org/W3003960249","https://openalex.org/W2045053268","https://openalex.org/W1870444468","https://openalex.org/W3109748140","https://openalex.org/W2767833206","https://openalex.org/W2433492094"],"abstract_inverted_index":{"Seam":[0],"carving":[1,54,119,144],"is":[2,13,23,83,120,172,192],"an":[3,21,247],"excellent":[4],"content-aware":[5],"image":[6,18,22,117,228],"resizing":[7],"technology":[8],"widely":[9],"used,":[10],"and":[11,131,199,219],"it":[12],"also":[14],"a":[15,48,113,195,234],"means":[16],"of":[17,28,52,65,94,102,129,134,233,237],"tampering.":[19],"Once":[20],"seam":[24,53,118,143],"carved,":[25],"the":[26,32,37,63,69,74,92,100,107,126,140,148,152,157,176,183,202,226,242,252],"distribution":[27,64,93],"magnitude":[29,66,79,103],"levels":[30,67],"for":[31,50,55,68,116,142,151],"pixel":[33,70],"intensity":[34,71,95],"differences":[35,72],"in":[36,73,85,106,122],"local":[38,75,77,108],"neighborhood":[39,78],"will":[40],"be":[41,45,180],"changed,":[42],"which":[43,174],"can":[44,245],"considered":[46],"as":[47,194],"clue":[49],"detection":[51],"forensic":[56,114],"purposes.":[57],"In":[58,213],"order":[59,214],"to":[60,179,197,206,215],"accurately":[61],"describe":[62],"neighborhood,":[76],"occurrence":[80],"pattern":[81,90],"(LNMOP)":[82],"proposed":[84,121,243],"this":[86,123],"paper.":[87,124],"The":[88,161,230],"LNMOP":[89,130,159,162,177],"describes":[91],"difference":[96],"by":[97,182,201],"counting":[98],"up":[99],"number":[101,236],"level":[104],"occurrences":[105],"neighborhood.":[109],"Based":[110],"on":[111,167],"this,":[112],"approach":[115,244],"Firstly,":[125],"histogram":[127],"features":[128,150,178,205],"HOG":[132,168,184],"(histogram":[133],"oriented":[135],"gradient)":[136],"are":[137,154,223],"extracted":[138,158,224],"from":[139,156,210,225],"images":[141,209,222,239],"forgery":[145],"detection.":[146],"Then,":[147],"final":[149],"classifier":[153,196],"selected":[155,181,204],"features.":[160],"feature":[163,169,185],"selection":[164],"method":[165],"based":[166],"hierarchical":[170],"matching":[171],"proposed,":[173],"determines":[175],"level.":[186],"Finally,":[187],"support":[188],"vector":[189],"machine":[190],"(SVM)":[191],"utilized":[193],"train":[198],"test":[200,220,238],"above":[203],"distinguish":[207],"tampered":[208],"normal":[211],"images.":[212],"create":[216],"training":[217],"sets":[218],"sets,":[221],"UCID":[227],"database.":[229],"experimental":[231],"results":[232],"large":[235],"show":[240],"that":[241],"achieve":[246],"overall":[248],"better":[249],"performance":[250],"than":[251],"state-of-the-art":[253],"approaches.":[254]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}