{"id":"https://openalex.org/W2968236154","doi":"https://doi.org/10.1109/access.2019.2934731","title":"Learning a Deep Vector Quantization Network for Image Compression","display_name":"Learning a Deep Vector Quantization Network for Image Compression","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2968236154","doi":"https://doi.org/10.1109/access.2019.2934731","mag":"2968236154"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2934731","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2934731","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08798635.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08798635.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101769283","display_name":"Xiaotong Lu","orcid":"https://orcid.org/0000-0002-9813-460X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaotong Lu","raw_affiliation_strings":["The State Key Laboratory on Integrated Services Network, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","The State Key Laboratory on Integrated Services Network, School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory on Integrated Services Network, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"The State Key Laboratory on Integrated Services Network, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453993","display_name":"Heng Wang","orcid":"https://orcid.org/0009-0009-5473-5751"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Wang","raw_affiliation_strings":["The State Key Laboratory on Integrated Services Network, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","The State Key Laboratory on Integrated Services Network, School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory on Integrated Services Network, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"The State Key Laboratory on Integrated Services Network, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037310802","display_name":"Weisheng Dong","orcid":"https://orcid.org/0000-0002-9632-985X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weisheng Dong","raw_affiliation_strings":["The State Key Laboratory on Integrated Services Network, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","The State Key Laboratory on Integrated Services Network, School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory on Integrated Services Network, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"The State Key Laboratory on Integrated Services Network, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101465277","display_name":"Fangfang Wu","orcid":"https://orcid.org/0000-0003-3082-832X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangfang Wu","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, China","School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082260214","display_name":"Zhonglong Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhonglong Zheng","raw_affiliation_strings":["Department of Computer Science, Zhejiang Normal University, Jinhua, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101549504","display_name":"Guangming Shi","orcid":"https://orcid.org/0000-0003-2179-3292"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Shi","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, China","School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101769283"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.7368,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.88106873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"118815","last_page":"118825"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression 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/T10901","display_name":"Advanced Data Compression 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"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":0.9977999925613403,"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":0.7944031953811646},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7527375221252441},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7105947732925415},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6500679850578308},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.6201584935188293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6162646412849426},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.5861878991127014},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5810800194740295},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49334946274757385},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4670240879058838},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46296289563179016},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4281136393547058},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33997613191604614},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29557353258132935},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22777950763702393},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.06240829825401306}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7944031953811646},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7527375221252441},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7105947732925415},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6500679850578308},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.6201584935188293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6162646412849426},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.5861878991127014},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5810800194740295},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49334946274757385},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4670240879058838},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46296289563179016},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4281136393547058},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33997613191604614},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29557353258132935},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22777950763702393},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.06240829825401306},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2934731","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2934731","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08798635.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8a47a0cfa5294fb9a8fd032b04252379","is_oa":true,"landing_page_url":"https://doaj.org/article/8a47a0cfa5294fb9a8fd032b04252379","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":"IEEE Access, Vol 7, Pp 118815-118825 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2934731","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2934731","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08798635.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1023919524","display_name":null,"funder_award_id":", Grant","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/G1725003993","display_name":null,"funder_award_id":"61621005","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/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/G3498557045","display_name":null,"funder_award_id":"6162100","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/G4150153631","display_name":null,"funder_award_id":"61836008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/G6472308615","display_name":null,"funder_award_id":"61622210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6862244890","display_name":null,"funder_award_id":"61632019","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/W2968236154.pdf","grobid_xml":"https://content.openalex.org/works/W2968236154.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1677182931","https://openalex.org/W1861492603","https://openalex.org/W1902934009","https://openalex.org/W2099563019","https://openalex.org/W2111691530","https://openalex.org/W2126105956","https://openalex.org/W2133665775","https://openalex.org/W2141089030","https://openalex.org/W2146395539","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2396976214","https://openalex.org/W2476548250","https://openalex.org/W2478708596","https://openalex.org/W2524428287","https://openalex.org/W2552465432","https://openalex.org/W2593493485","https://openalex.org/W2604392022","https://openalex.org/W2613718673","https://openalex.org/W2732044853","https://openalex.org/W2807777493","https://openalex.org/W2856111058","https://openalex.org/W2914429466","https://openalex.org/W2962676454","https://openalex.org/W2962790638","https://openalex.org/W2962891349","https://openalex.org/W2962906146","https://openalex.org/W2963114950","https://openalex.org/W2963149687","https://openalex.org/W2963449488","https://openalex.org/W2963633319","https://openalex.org/W2964121744","https://openalex.org/W2964164354","https://openalex.org/W2999087477","https://openalex.org/W4294567867","https://openalex.org/W4297659253","https://openalex.org/W6631190155","https://openalex.org/W6639102338","https://openalex.org/W6639703010","https://openalex.org/W6676532630","https://openalex.org/W6684191040","https://openalex.org/W6694251005","https://openalex.org/W6712185225","https://openalex.org/W6727208969","https://openalex.org/W6734035190","https://openalex.org/W6738494155","https://openalex.org/W6741057705","https://openalex.org/W6753365898"],"related_works":["https://openalex.org/W2094714038","https://openalex.org/W2039662546","https://openalex.org/W2530088410","https://openalex.org/W4310608238","https://openalex.org/W2740911833","https://openalex.org/W2144404403","https://openalex.org/W2106967209","https://openalex.org/W2521595930","https://openalex.org/W4243608781","https://openalex.org/W3165542721"],"abstract_inverted_index":{"Deep":[0],"convolutional":[1,71],"neural":[2],"network":[3,74,100],"(DCNN)":[4],"based":[5],"image":[6,17,57,86],"codecs,":[7],"consisting":[8],"of":[9,33,84,92,107,122],"encoder,":[10,35,61],"quantizer":[11,36,62],"and":[12,37,63,125],"decoder,":[13,38],"have":[14],"achieved":[15],"promising":[16],"compression":[18,140,152],"results.":[19],"The":[20],"major":[21],"challenge":[22],"in":[23,29],"learning":[24],"these":[25],"DCNN":[26,54],"models":[27],"lies":[28],"the":[30,34,42,45,60,81,85,89,93,123,126,130,133,139,147],"joint":[31],"optimization":[32],"as":[39,41],"well":[40],"adaptivity":[43],"to":[44,79,136],"input":[46,134],"images.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51,118],"proposed":[52,78,148],"a":[53,69],"architecture":[55],"for":[56],"compression,":[58],"where":[59,88],"decoder":[64],"are":[65,95],"jointly":[66,96],"learned.":[67],"Specifically,":[68],"fully":[70],"vector":[72],"quantization":[73],"(VQNet)":[75],"has":[76],"been":[77],"quantize":[80],"feature":[82],"vectors":[83,91],"representation,":[87],"representative":[90],"VQNet":[94,131],"optimized":[97],"with":[98,154],"other":[99],"parameters":[101],"through":[102],"end-to-end":[103],"training.":[104],"While":[105],"most":[106],"current":[108],"DCNN-based":[109],"methods":[110],"were":[111],"only":[112],"trained":[113],"once":[114],"on":[115,132],"large-scale":[116],"datasets,":[117],"further":[119,137],"perform":[120],"fine-tuning":[121],"encoder":[124],"codes":[127],"generated":[128],"by":[129],"images":[135],"improve":[138],"performance.":[141],"Extensive":[142],"experimental":[143],"results":[144,153],"show":[145],"that":[146],"method":[149],"achieves":[150],"state-of-the-art":[151],"simple":[155],"encoder-decoder.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
