{"id":"https://openalex.org/W2742256643","doi":"https://doi.org/10.1109/tip.2017.2737329","title":"Unsupervised t-Distributed Video Hashing and Its Deep Hashing Extension","display_name":"Unsupervised t-Distributed Video Hashing and Its Deep Hashing Extension","publication_year":2017,"publication_date":"2017-08-07","ids":{"openalex":"https://openalex.org/W2742256643","doi":"https://doi.org/10.1109/tip.2017.2737329","mag":"2742256643","pmid":"https://pubmed.ncbi.nlm.nih.gov/28796619"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2017.2737329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2737329","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.manchester.ac.uk/en/publications/0099f231-b1d1-44eb-b58d-05c28e6a7248","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043525989","display_name":"Yanbin Hao","orcid":"https://orcid.org/0000-0002-0695-1566"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanbin Hao","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048659336","display_name":"Tingting Mu","orcid":"https://orcid.org/0000-0001-6315-3432"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tingting Mu","raw_affiliation_strings":["School of Computer Science, The University of Manchester, Manchester, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Manchester, Manchester, U.K","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079825375","display_name":"John Y. Goulermas","orcid":"https://orcid.org/0000-0003-0381-124X"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John Y. Goulermas","raw_affiliation_strings":["Department of Computer Science, University of Liverpool, Liverpool, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Liverpool, Liverpool, U.K","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002727597","display_name":"Jianguo Jiang","orcid":"https://orcid.org/0000-0002-9349-6337"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianguo Jiang","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051332325","display_name":"Richang Hong","orcid":"https://orcid.org/0000-0001-5461-3986"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Richang Hong","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5461-3986","affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3094-7735","affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3372,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.95586937,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"26","issue":"11","first_page":"5531","last_page":"5544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9993000030517578,"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/hash-function","display_name":"Hash function","score":0.7237037420272827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6985050439834595},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.6951889395713806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6494216322898865},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6115015745162964},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.553334653377533},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5140165090560913},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.4753967225551605},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.47167855501174927},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.4353214502334595},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.42914432287216187},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.41515839099884033},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.2922176420688629},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.195286363363266},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15155678987503052}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7237037420272827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6985050439834595},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.6951889395713806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6494216322898865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6115015745162964},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.553334653377533},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5140165090560913},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.4753967225551605},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.47167855501174927},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.4353214502334595},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.42914432287216187},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.41515839099884033},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.2922176420688629},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.195286363363266},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15155678987503052},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2017.2737329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2737329","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:28796619","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28796619","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":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:pure.atira.dk:openaire/0099f231-b1d1-44eb-b58d-05c28e6a7248","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/0099f231-b1d1-44eb-b58d-05c28e6a7248","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Hao, Y, Mu, T, Goulermas, J, Jiang, J, Hong, R & Wang, M 2017, 'Unsupervised t-Distributed Video Hashing and its Deep Hashing Extension', IEEE Transactions on Image Processing. https://doi.org/10.1109/TIP.2017.2737329","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/0099f231-b1d1-44eb-b58d-05c28e6a7248","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/0099f231-b1d1-44eb-b58d-05c28e6a7248","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Hao, Y, Mu, T, Goulermas, J, Jiang, J, Hong, R & Wang, M 2017, 'Unsupervised t-Distributed Video Hashing and its Deep Hashing Extension', IEEE Transactions on Image Processing. https://doi.org/10.1109/TIP.2017.2737329","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4670264125","display_name":"\u5927\u6570\u636e\u73af\u5883\u4e0b\u590d\u6742\u591a\u5a92\u4f53\u5185\u5bb9\u5206\u6790\u3001\u63a8\u9001\u4e0e\u5c55\u793a","funder_award_id":"61432019","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"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":87,"referenced_works":["https://openalex.org/W219040644","https://openalex.org/W914561379","https://openalex.org/W1502916507","https://openalex.org/W1677409904","https://openalex.org/W1755205674","https://openalex.org/W1835419070","https://openalex.org/W1870428314","https://openalex.org/W1913628733","https://openalex.org/W1923967535","https://openalex.org/W1951304353","https://openalex.org/W1956333070","https://openalex.org/W2010701456","https://openalex.org/W2016053056","https://openalex.org/W2017404693","https://openalex.org/W2017719567","https://openalex.org/W2018057603","https://openalex.org/W2021226554","https://openalex.org/W2025432722","https://openalex.org/W2029785729","https://openalex.org/W2033431158","https://openalex.org/W2037650152","https://openalex.org/W2044072771","https://openalex.org/W2050663613","https://openalex.org/W2052805987","https://openalex.org/W2059245310","https://openalex.org/W2067766814","https://openalex.org/W2085789144","https://openalex.org/W2095536970","https://openalex.org/W2096979710","https://openalex.org/W2102605133","https://openalex.org/W2109506130","https://openalex.org/W2112301665","https://openalex.org/W2112796928","https://openalex.org/W2116435618","https://openalex.org/W2117539524","https://openalex.org/W2120480077","https://openalex.org/W2124386111","https://openalex.org/W2126130784","https://openalex.org/W2128109799","https://openalex.org/W2130230179","https://openalex.org/W2130325614","https://openalex.org/W2133845638","https://openalex.org/W2135364649","https://openalex.org/W2136655611","https://openalex.org/W2139395976","https://openalex.org/W2139916508","https://openalex.org/W2140221871","https://openalex.org/W2140345984","https://openalex.org/W2142503298","https://openalex.org/W2144420897","https://openalex.org/W2156365280","https://openalex.org/W2159128662","https://openalex.org/W2160208155","https://openalex.org/W2162659160","https://openalex.org/W2163605009","https://openalex.org/W2163922914","https://openalex.org/W2167451801","https://openalex.org/W2171700594","https://openalex.org/W2187089797","https://openalex.org/W2207125444","https://openalex.org/W2210322478","https://openalex.org/W2214876188","https://openalex.org/W2277448338","https://openalex.org/W2293597654","https://openalex.org/W2293824885","https://openalex.org/W2308045930","https://openalex.org/W2319521425","https://openalex.org/W2476624367","https://openalex.org/W2520610372","https://openalex.org/W2589266112","https://openalex.org/W2963173190","https://openalex.org/W2963398644","https://openalex.org/W3008070742","https://openalex.org/W3098959905","https://openalex.org/W3103722964","https://openalex.org/W3106512200","https://openalex.org/W4249337422","https://openalex.org/W6629956336","https://openalex.org/W6637400245","https://openalex.org/W6640412524","https://openalex.org/W6653094839","https://openalex.org/W6677326919","https://openalex.org/W6680590460","https://openalex.org/W6681060529","https://openalex.org/W6684191040","https://openalex.org/W6697060382","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W2100189723","https://openalex.org/W1998749283","https://openalex.org/W1554555624","https://openalex.org/W2184777945","https://openalex.org/W2921167217","https://openalex.org/W4212830455","https://openalex.org/W1997107867","https://openalex.org/W2000284985","https://openalex.org/W1982193706","https://openalex.org/W2086731314"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,51,57,65,138,144,150],"novel":[4],"unsupervised":[5,16,35,117,146],"hashing":[6,152],"algorithm,":[7],"referred":[8,19],"to":[9,15,20,25,79,96],"as":[10,21],"t-USMVH,":[11],"and":[12,45,63,131,156,174],"its":[13],"extension":[14],"deep":[17,139,151],"hashing,":[18],"t-UDH,":[22],"are":[23,86,162],"proposed":[24,160],"support":[26],"large-scale":[27],"video-to-video":[28],"retrieval.":[29],"To":[30,76],"improve":[31],"robustness":[32],"of":[33,42,73,114,158],"the":[34,37,71,98,101,115,121,127,133,159,175],"learning,":[36],"t-USMVH":[38],"combines":[39],"multiple":[40,172],"types":[41],"feature":[43],"representations":[44],"effectively":[46],"fuses":[47],"them":[48],"by":[49],"examining":[50],"continuous":[52],"relevance":[53],"score":[54,68],"based":[55,69],"on":[56,70,164],"Gaussian":[58],"estimation":[59],"over":[60],"pairwise":[61],"distances,":[62],"also":[64],"discrete":[66],"neighbor":[67],"cardinality":[72],"reciprocal":[74],"neighbors.":[75],"reduce":[77],"sensitivity":[78],"scale":[80],"changes":[81],"for":[82,106,149],"mapping":[83,135],"objects":[84],"that":[85],"far":[87],"apart":[88],"from":[89],"each":[90],"other,":[91],"Student":[92],"t-distribution":[93],"is":[94],"used":[95],"estimate":[97],"similarity":[99,118],"between":[100],"relaxed":[102],"hash":[103,122,134],"code":[104,123],"vectors":[105],"keyframes.":[107],"This":[108],"results":[109],"in":[110,120],"more":[111],"accurate":[112],"preservation":[113],"desired":[116],"structure":[119],"space.":[124],"By":[125],"adapting":[126],"corresponding":[128],"optimization":[129],"objective":[130],"constructing":[132],"function":[136],"via":[137,169],"neural":[140],"network,":[141],"we":[142],"develop":[143],"robust":[145],"training":[147],"strategy":[148],"network.":[153],"The":[154],"efficiency":[155],"effectiveness":[157],"methods":[161],"evaluated":[163],"two":[165],"public":[166],"video":[167],"collections":[168],"comparisons":[170],"against":[171],"classical":[173],"state-of-the-art":[176],"methods.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}