{"id":"https://openalex.org/W4406094042","doi":"https://doi.org/10.1109/access.2025.3525703","title":"Optimization of Depth Map Intra Coding Algorithms Based on Machine Learning","display_name":"Optimization of Depth Map Intra Coding Algorithms Based on Machine Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406094042","doi":"https://doi.org/10.1109/access.2025.3525703"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3525703","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3525703","pdf_url":null,"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://doi.org/10.1109/access.2025.3525703","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078424018","display_name":"Wenjun Song","orcid":"https://orcid.org/0009-0007-6436-2915"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Song","raw_affiliation_strings":["College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiaying Yang","orcid":"https://orcid.org/0009-0000-5533-0179"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaying Yang","raw_affiliation_strings":["College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-5533-0179","affiliations":[{"raw_affiliation_string":"College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085474562","display_name":"Qiuwen Zhang","orcid":"https://orcid.org/0000-0002-8533-7088"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuwen Zhang","raw_affiliation_strings":["College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8533-7088","affiliations":[{"raw_affiliation_string":"College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0047605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"5846","last_page":"5857"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.49399998784065247,"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"}},"topics":[{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.49399998784065247,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.4586000144481659,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.43160000443458557,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7526799440383911},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.535655677318573},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4934469759464264},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48278486728668213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12569206953048706}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7526799440383911},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.535655677318573},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4934469759464264},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48278486728668213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12569206953048706},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3525703","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3525703","pdf_url":null,"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:9c6a6c5909fc4fcc8d65f364e534159b","is_oa":true,"landing_page_url":"https://doaj.org/article/9c6a6c5909fc4fcc8d65f364e534159b","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":"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 13, Pp 5846-5857 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3525703","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3525703","pdf_url":null,"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/G3345754554","display_name":null,"funder_award_id":"No. 61771432","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3908924668","display_name":null,"funder_award_id":"No. 61302118","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5730595532","display_name":null,"funder_award_id":"61302118","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6825458930","display_name":"\u57fa\u4e8e3D-HEVC\u7684\u4f4e\u590d\u6742\u5ea6\u7f16\u7801\u6a21\u578b\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61771432","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8964004250","display_name":null,"funder_award_id":"244200510026","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336569","display_name":"Shenzhen Science and Technology Innovation Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2056132907","https://openalex.org/W2755358339","https://openalex.org/W2761287863","https://openalex.org/W2900367932","https://openalex.org/W2913750397","https://openalex.org/W2921369765","https://openalex.org/W2942828508","https://openalex.org/W2981863842","https://openalex.org/W3015540020","https://openalex.org/W3035631597","https://openalex.org/W3035784627","https://openalex.org/W3037841842","https://openalex.org/W3116879875","https://openalex.org/W3133998139","https://openalex.org/W3134285717","https://openalex.org/W3135530072","https://openalex.org/W3142467750","https://openalex.org/W3159840359","https://openalex.org/W3160130949","https://openalex.org/W3197018659","https://openalex.org/W3202918664","https://openalex.org/W3213789764","https://openalex.org/W4210882076","https://openalex.org/W4283687736","https://openalex.org/W4283814971","https://openalex.org/W4285279636","https://openalex.org/W4285587837","https://openalex.org/W4296473447","https://openalex.org/W4312995269","https://openalex.org/W4313485590","https://openalex.org/W4366834129","https://openalex.org/W4386838443","https://openalex.org/W4399282667"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"As":[0],"a":[1,53,96,103,136,186],"cutting-edge":[2],"field":[3],"of":[4,14,65],"global":[5],"research,":[6,47],"3D":[7,38,54,77,202],"video":[8,26,39,55,78,203],"technology":[9],"faces":[10],"the":[11,23,63,66,73,109,113,132,141,164,172,201],"dual":[12],"challenges":[13],"large":[15],"data":[16],"volumes":[17],"and":[18,80,126],"high":[19],"processing":[20],"complexity.":[21,166],"Although":[22],"most":[24],"recent":[25],"coding":[27,33,40,56,165,182,204],"standard":[28],"VVC,":[29],"surpasses":[30],"HEVC":[31],"in":[32,76,177,189],"efficiency,":[34],"dedicated":[35],"research":[36],"on":[37,45,59,72],"remains":[41],"relatively":[42],"scarce.":[43],"Building":[44],"existing":[46],"this":[48,149],"study":[49],"aims":[50],"to":[51,89],"develop":[52],"algorithm":[57,174],"based":[58],"VVC":[60],"that":[61,171],"lowers":[62],"complexity":[64],"encoding":[67,178],"procedure.":[68],"We":[69],"focus":[70],"specifically":[71],"depth":[74],"maps":[75],"content":[79],"introduce":[81],"an":[82,196],"extreme":[83,105],"forest":[84,106],"model":[85,111,138],"from":[86],"machine":[87],"learning":[88],"optimize":[90],"intra-frame":[91],"coding.":[92],"This":[93,193],"paper":[94],"proposes":[95],"novel":[97],"CU":[98,114,156],"partitioning":[99,115,142,157],"strategy":[100],"implemented":[101],"through":[102],"two-stage":[104,150],"model.":[107],"First,":[108],"initial":[110],"predicts":[112],"type,":[116],"including":[117],"no":[118],"partition,":[119],"QuadTree":[120],"partitioning,":[121,125],"Multi-type":[122,127],"tree":[123,128],"horizontal":[124],"vertical":[129],"partitioning.":[130],"For":[131],"latter":[133],"two":[134],"cases,":[135],"second":[137],"further":[139],"refines":[140],"into":[143],"binary":[144],"or":[145],"ternary":[146],"trees.":[147],"Through":[148],"prediction":[151],"mechanism,":[152],"we":[153],"effectively":[154],"bypass":[155],"types":[158],"with":[159,184],"low":[160],"probability,":[161],"significantly":[162],"reducing":[163],"The":[167],"experimental":[168],"results":[169],"demonstrate":[170],"proposed":[173],"saves":[175],"47.46%":[176],"time":[179],"while":[180],"maintaining":[181],"quality,":[183],"only":[185],"0.26%":[187],"increase":[188],"Bjontegaard":[190],"Delta":[191],"Bitrate.":[192],"achievement":[194],"provides":[195],"effective":[197],"low-complexity":[198],"solution":[199],"for":[200],"field.":[205]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}