{"id":"https://openalex.org/W2896353929","doi":"https://doi.org/10.3390/fi10090084","title":"Using Noise Level to Detect Frame Repetition Forgery in Video Frame Rate Up-Conversion","display_name":"Using Noise Level to Detect Frame Repetition Forgery in Video Frame Rate Up-Conversion","publication_year":2018,"publication_date":"2018-08-24","ids":{"openalex":"https://openalex.org/W2896353929","doi":"https://doi.org/10.3390/fi10090084","mag":"2896353929"},"language":"en","primary_location":{"id":"doi:10.3390/fi10090084","is_oa":true,"landing_page_url":"https://doi.org/10.3390/fi10090084","pdf_url":"https://www.mdpi.com/1999-5903/10/9/84/pdf?version=1535101812","source":{"id":"https://openalex.org/S34838331","display_name":"Future Internet","issn_l":"1999-5903","issn":["1999-5903"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Future Internet","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-5903/10/9/84/pdf?version=1535101812","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064603547","display_name":"Yanli Li","orcid":"https://orcid.org/0000-0001-5267-3096"},"institutions":[{"id":"https://openalex.org/I130750295","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I130750295"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanli Li","raw_affiliation_strings":["School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044931360","display_name":"Lala Mei","orcid":null},"institutions":[{"id":"https://openalex.org/I130750295","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I130750295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lala Mei","raw_affiliation_strings":["School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428059","display_name":"Ran Li","orcid":"https://orcid.org/0000-0001-7475-759X"},"institutions":[{"id":"https://openalex.org/I130750295","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I130750295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Li","raw_affiliation_strings":["School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087430975","display_name":"Chang-an Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I130750295","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I130750295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changan Wu","raw_affiliation_strings":["School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064603547"],"corresponding_institution_ids":["https://openalex.org/I130750295"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.1062,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.46667738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"10","issue":"9","first_page":"84","last_page":"84"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9979000091552734,"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":0.9936000108718872,"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":0.7665850520133972},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.6930870413780212},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5674394965171814},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5375153422355652},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5120995044708252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5015547275543213},{"id":"https://openalex.org/keywords/residual-frame","display_name":"Residual frame","score":0.4921395182609558},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.4532509744167328},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.45148900151252747},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.45095908641815186},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4141750931739807},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.4107002019882202},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3569714426994324},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2893674075603485},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.22468730807304382},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21851643919944763},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.21519914269447327},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17346864938735962},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.16367504000663757},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15146544575691223},{"id":"https://openalex.org/keywords/multiview-video-coding","display_name":"Multiview Video Coding","score":0.12460696697235107},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08593684434890747}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7665850520133972},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.6930870413780212},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5674394965171814},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5375153422355652},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5120995044708252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5015547275543213},{"id":"https://openalex.org/C204641915","wikidata":"https://www.wikidata.org/wiki/Q7315509","display_name":"Residual frame","level":4,"score":0.4921395182609558},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.4532509744167328},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.45148900151252747},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.45095908641815186},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4141750931739807},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.4107002019882202},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3569714426994324},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2893674075603485},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.22468730807304382},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21851643919944763},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.21519914269447327},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17346864938735962},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.16367504000663757},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15146544575691223},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.12460696697235107},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08593684434890747}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/fi10090084","is_oa":true,"landing_page_url":"https://doi.org/10.3390/fi10090084","pdf_url":"https://www.mdpi.com/1999-5903/10/9/84/pdf?version=1535101812","source":{"id":"https://openalex.org/S34838331","display_name":"Future Internet","issn_l":"1999-5903","issn":["1999-5903"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Future Internet","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:gam:jftint:v:10:y:2018:i:9:p:84-:d:165556","is_oa":false,"landing_page_url":"https://www.mdpi.com/1999-5903/10/9/84/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"},{"id":"pmh:oai:doaj.org/article:2114181f6e72489bb87a5c03e9c1b16d","is_oa":true,"landing_page_url":"https://doaj.org/article/2114181f6e72489bb87a5c03e9c1b16d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Future Internet, Vol 10, Iss 9, p 84 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-5903/10/9/84/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/fi10090084","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Future Internet","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/fi10090084","is_oa":true,"landing_page_url":"https://doi.org/10.3390/fi10090084","pdf_url":"https://www.mdpi.com/1999-5903/10/9/84/pdf?version=1535101812","source":{"id":"https://openalex.org/S34838331","display_name":"Future Internet","issn_l":"1999-5903","issn":["1999-5903"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Future Internet","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2224244798","display_name":null,"funder_award_id":"61501393","funder_id":"https://openalex.org/F4320327564","funder_display_name":"Xinyang Normal University"},{"id":"https://openalex.org/G2802911279","display_name":null,"funder_award_id":"Young","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5106112868","display_name":null,"funder_award_id":"61501393","funder_id":"https://openalex.org/F4320335834","funder_display_name":"Nanhu Scholars Program for Young Scholars of Xinyang Normal University"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6771553598","display_name":null,"funder_award_id":"61501393","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7709583620","display_name":null,"funder_award_id":"020080","funder_id":"https://openalex.org/F4320335834","funder_display_name":"Nanhu Scholars Program for Young Scholars of Xinyang Normal University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327564","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66"},{"id":"https://openalex.org/F4320335834","display_name":"Nanhu Scholars Program for Young Scholars of Xinyang Normal University","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2896353929.pdf","grobid_xml":"https://content.openalex.org/works/W2896353929.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1976381392","https://openalex.org/W2029702458","https://openalex.org/W2053541750","https://openalex.org/W2059928192","https://openalex.org/W2084515701","https://openalex.org/W2112223536","https://openalex.org/W2132984323","https://openalex.org/W2133665775","https://openalex.org/W2140711622","https://openalex.org/W2146395539","https://openalex.org/W2146842127","https://openalex.org/W2230678205","https://openalex.org/W2335881392","https://openalex.org/W2346830975","https://openalex.org/W2539781702","https://openalex.org/W2593829325","https://openalex.org/W2849493572","https://openalex.org/W6680583152","https://openalex.org/W6689134921"],"related_works":["https://openalex.org/W2107302173","https://openalex.org/W2118027215","https://openalex.org/W2119751394","https://openalex.org/W2026320522","https://openalex.org/W2123453665","https://openalex.org/W1967015961","https://openalex.org/W2510587795","https://openalex.org/W2155384705","https://openalex.org/W2168879190","https://openalex.org/W3021679633"],"abstract_inverted_index":{"Frame":[0],"repetition":[1],"(FR)":[2],"is":[3,10,71,92,112,149],"a":[4,53,145,181,190],"common":[5],"temporal-domain":[6],"tampering":[7],"operator,":[8],"which":[9,58,164],"often":[11],"used":[12,93,113],"to":[13,66,94,114,129,141,151],"increase":[14],"the":[15,45,60,69,96,116,120,125,131,136,142,154,160,177,185,197],"frame":[16],"rate":[17],"of":[18,47,89,99,119,124,135],"video":[19,33,70,82,105,126],"sequences.":[20],"Existing":[21],"methods":[22,37],"detect":[23],"FR":[24,166],"forgery":[25,167],"by":[26,42,73],"analyzing":[27],"residual":[28],"variation":[29],"or":[30],"similarity":[31],"between":[32],"frames;":[34],"however,":[35],"these":[36],"are":[38,77],"easily":[39],"interfered":[40],"with":[41,196],"noise,":[43],"affecting":[44],"stability":[46],"detection":[48,56,192,199],"performance.":[49],"This":[50],"paper":[51],"proposes":[52],"noise-level":[54],"based":[55],"method":[57,179],"detects":[59],"varying":[61],"noise":[62,101],"level":[63],"over":[64],"time":[65],"determine":[67,152],"whether":[68,153],"forged":[72,186],"FR.":[74],"Wavelet":[75],"coefficients":[76,91],"first":[78],"computed":[79],"for":[80,184],"each":[81,104],"frame,":[83],"and":[84,128,188],"median":[85],"absolute":[86],"deviation":[87,98,122,156],"(MAD)":[88],"wavelet":[90],"estimate":[95],"standard":[97,121,155],"Gaussian":[100],"mixed":[102],"in":[103,159,163],"frame.":[106],"Then,":[107],"fast":[108],"Fourier":[109],"transform":[110],"(FFT)":[111],"calculate":[115],"amplitude":[117,137],"spectrum":[118],"curve":[123],"sequence,":[127],"provide":[130],"peak-mean":[132],"ratio":[133],"(PMR)":[134],"spectrum.":[138],"Finally,":[139],"according":[140],"PMR":[143,183],"obtained,":[144],"hard":[146],"threshold":[147],"decision":[148],"taken":[150],"bears":[157],"periodicity":[158],"temporal":[161],"domain,":[162],"way":[165],"can":[168],"be":[169],"automatically":[170],"identified.":[171],"The":[172],"experimental":[173],"results":[174],"show":[175],"that":[176],"proposed":[178],"ensures":[180],"large":[182],"video,":[187],"presents":[189],"better":[191],"performance":[193],"when":[194],"compared":[195],"existing":[198],"methods.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
