{"id":"https://openalex.org/W2069878189","doi":"https://doi.org/10.1109/icme.2014.6890296","title":"Identifying photographic images and photorealistic computer graphics using multifractal spectrum features of PRNU","display_name":"Identifying photographic images and photorealistic computer graphics using multifractal spectrum features of PRNU","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2069878189","doi":"https://doi.org/10.1109/icme.2014.6890296","mag":"2069878189"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2014.6890296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2014.6890296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-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/A5049120636","display_name":"Fei Peng","orcid":"https://orcid.org/0000-0001-8053-4587"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Peng","raw_affiliation_strings":["Dept. of Information Science and Engineering, Hunan University, Hunan, China","Key Laboratory for Embedded and Network Computing of Hunan Province"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information Science and Engineering, Hunan University, Hunan, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Key Laboratory for Embedded and Network Computing of Hunan Province","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024443043","display_name":"Jiaoling Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaoling Shi","raw_affiliation_strings":["Dept. of Information Science and Engineering, Hunan University, Hunan, China","Key Laboratory for Embedded and Network Computing of Hunan Province"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information Science and Engineering, Hunan University, Hunan, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Key Laboratory for Embedded and Network Computing of Hunan Province","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078874201","display_name":"Min Long","orcid":"https://orcid.org/0000-0002-1229-2317"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Long","raw_affiliation_strings":["Dept. of Computer and Communication Engineering, Changsha University of Science and Technology, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer and Communication Engineering, Changsha University of Science and Technology, Hunan, China","institution_ids":["https://openalex.org/I56934997"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2361,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.83748649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9923999905586243,"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":0.9593999981880188,"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":0.7936732769012451},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7127715349197388},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6682358980178833},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6609019637107849},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5391768217086792},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.53788822889328},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5203784704208374},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4581005871295929},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45341265201568604},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.44067704677581787},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.1856236457824707},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12330237030982971}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7936732769012451},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7127715349197388},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6682358980178833},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6609019637107849},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5391768217086792},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.53788822889328},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5203784704208374},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4581005871295929},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45341265201568604},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.44067704677581787},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.1856236457824707},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12330237030982971},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2014.6890296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2014.6890296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1805141230","https://openalex.org/W2017674864","https://openalex.org/W2025051155","https://openalex.org/W2040648696","https://openalex.org/W2062503914","https://openalex.org/W2095130919","https://openalex.org/W2098030814","https://openalex.org/W2102258637","https://openalex.org/W2113267006","https://openalex.org/W2124695272","https://openalex.org/W2129240197","https://openalex.org/W2152766492","https://openalex.org/W2153635508","https://openalex.org/W2188708174","https://openalex.org/W2351568711","https://openalex.org/W2360737256","https://openalex.org/W2364164496","https://openalex.org/W2378704998","https://openalex.org/W2385393418","https://openalex.org/W4244098250","https://openalex.org/W6682179294","https://openalex.org/W6686997128"],"related_works":["https://openalex.org/W4322741006","https://openalex.org/W2090763504","https://openalex.org/W2120205576","https://openalex.org/W2134324324","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789"],"abstract_inverted_index":{"A":[0],"novel":[1],"identification":[2,46,71],"approach":[3],"for":[4],"identifying":[5],"photographic":[6],"images":[7],"(PIM)":[8],"and":[9,44,60,75,85,101],"photorealistic":[10],"computer":[11],"graphics":[12],"(PRCG)":[13],"is":[14,47,90],"proposed":[15,65],"by":[16,50],"using":[17,51],"multifractal":[18],"spectrum":[19,31],"features":[20,32],"of":[21,29,33,73],"photo":[22],"response":[23],"non-uniformity":[24],"noise":[25],"(PRNU).":[26],"8":[27],"dimensions":[28],"mul-tifractal":[30],"PRNU":[34],"are":[35],"extracted":[36],"to":[37],"represent":[38],"the":[39,45,64,80],"subtle":[40],"differences":[41],"between":[42,82],"them,":[43],"carried":[48],"out":[49],"a":[52],"support":[53],"vector":[54],"machine":[55],"(SVM)":[56],"classifier.":[57],"Experimental":[58],"results":[59],"analysis":[61],"indicate":[62],"that":[63],"method":[66],"can":[67],"achieve":[68],"an":[69],"average":[70],"accuracy":[72],"98.99%,":[74],"has":[76],"good":[77],"performance":[78],"in":[79],"ratios":[81],"training":[83],"samples":[84],"testing":[86],"samples.":[87],"Besides,":[88],"it":[89],"robust":[91],"against":[92],"some":[93],"manipulations":[94],"such":[95],"as":[96],"adding":[97],"noise,":[98],"JPEG":[99],"compression":[100],"motion":[102],"blur.":[103]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}