{"id":"https://openalex.org/W3046501084","doi":"https://doi.org/10.1155/2020/8883214","title":"Adaptive CU Split Decision Based on Deep Learning and Multifeature Fusion for H.266/VVC","display_name":"Adaptive CU Split Decision Based on Deep Learning and Multifeature Fusion for H.266/VVC","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3046501084","doi":"https://doi.org/10.1155/2020/8883214","mag":"3046501084"},"language":"en","primary_location":{"id":"doi:10.1155/2020/8883214","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8883214","pdf_url":"https://downloads.hindawi.com/journals/sp/2020/8883214.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/sp/2020/8883214.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050473721","display_name":"Jinchao Zhao","orcid":"https://orcid.org/0000-0001-5617-3953"},"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":"Jinchao Zhao","raw_affiliation_strings":["College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428931","display_name":"Yihan Wang","orcid":"https://orcid.org/0000-0002-1243-6106"},"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":"Yihan Wang","raw_affiliation_strings":["College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, 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":true,"raw_author_name":"Qiuwen Zhang","raw_affiliation_strings":["College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, 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 450002, China","institution_ids":["https://openalex.org/I23171815"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085474562"],"corresponding_institution_ids":["https://openalex.org/I23171815"],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":{"value":1800,"currency":"USD","value_usd":1800},"fwci":2.1284,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88047237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9987000226974487,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9975000023841858,"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/coding","display_name":"Coding (social sciences)","score":0.7066795229911804},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7046579718589783},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6147735118865967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5370783805847168},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.49247583746910095},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4556366503238678},{"id":"https://openalex.org/keywords/algorithmic-efficiency","display_name":"Algorithmic efficiency","score":0.41212114691734314},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.41207584738731384},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3967694044113159},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37545934319496155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21164187788963318},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.1646614968776703}],"concepts":[{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.7066795229911804},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7046579718589783},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6147735118865967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5370783805847168},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.49247583746910095},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4556366503238678},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.41212114691734314},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.41207584738731384},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3967694044113159},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37545934319496155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21164187788963318},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.1646614968776703},{"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:10.1155/2020/8883214","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8883214","pdf_url":"https://downloads.hindawi.com/journals/sp/2020/8883214.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bb562422bae0454d9b745e132506b0c0","is_oa":false,"landing_page_url":"https://doaj.org/article/bb562422bae0454d9b745e132506b0c0","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Programming, Vol 2020 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2020/8883214","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8883214","pdf_url":"https://downloads.hindawi.com/journals/sp/2020/8883214.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G291544617","display_name":null,"funder_award_id":"61702464","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/G7515579927","display_name":null,"funder_award_id":"202102210179","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3046501084.pdf","grobid_xml":"https://content.openalex.org/works/W3046501084.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W2518546937","https://openalex.org/W2761287863","https://openalex.org/W2889200532","https://openalex.org/W2894017587","https://openalex.org/W2921369765","https://openalex.org/W2972169352","https://openalex.org/W2990674010","https://openalex.org/W3101531460"],"related_works":["https://openalex.org/W3009161491","https://openalex.org/W2018760684","https://openalex.org/W2735437354","https://openalex.org/W1579233721","https://openalex.org/W4254232196","https://openalex.org/W2908833932","https://openalex.org/W2242376282","https://openalex.org/W2800164157","https://openalex.org/W2235484757","https://openalex.org/W2560965210"],"abstract_inverted_index":{"With":[0],"the":[1,5,28,52,64,82,131,164,171,175,180,185,193,198,211,215],"development":[2],"of":[3,10,66,91,166,177],"technology,":[4],"hardware":[6],"requirement":[7],"and":[8,18,77,110,126,174,196,218],"expectations":[9],"user":[11],"for":[12,203],"visual":[13],"enjoyment":[14],"are":[15,183],"getting":[16],"higher":[17],"higher.":[19],"The":[20,206],"multitype":[21],"tree":[22],"(MTT)":[23],"architecture":[24],"is":[25,36,86,148,158,168],"proposed":[26,212],"by":[27,170],"Joint":[29],"Video":[30,54,69],"Experts":[31],"Team":[32],"(JVET).":[33],"Therefore,":[34],"it":[35,72],"necessary":[37],"to":[38,123,135,150,160],"determine":[39],"not":[40],"only":[41],"coding":[42,61,75,79],"unit":[43],"(CU)":[44],"depth":[45],"but":[46],"also":[47],"its":[48],"split":[49,103],"mode":[50],"in":[51,227],"H.266/Versatile":[53],"Coding":[55,70],"(H.266/VVC).":[56],"Although":[57],"H.266/VVC":[58],"achieves":[59],"significant":[60],"performance":[62],"on":[63,107,121,145],"basis":[65],"H.265/High":[67],"Efficiency":[68],"(H.265/HEVC),":[71],"causes":[73],"significantly":[74],"complexity":[76,217],"increases":[78],"time,":[80,222],"where":[81],"most":[83],"time-consuming":[84],"part":[85],"traversal":[87],"calculation":[88,202],"rate-distortion":[89,199],"(RD)":[90],"CU.":[92,128,152,178],"To":[93],"solve":[94],"these":[95],"problems,":[96],"this":[97],"paper":[98],"proposes":[99],"an":[100,154],"adaptive":[101,155],"CU":[102,167],"decision":[104],"method":[105,213],"based":[106,120,144],"deep":[108],"learning":[109],"multifeature":[111,146],"fusion.":[112],"Firstly,":[113],"we":[114],"develop":[115],"a":[116,138],"texture":[117],"classification":[118],"model":[119],"threshold":[122],"recognize":[124],"complex":[125,132,181],"homogeneous":[127],"Secondly,":[129],"if":[130],"CUs":[133,182],"belong":[134],"edge":[136],"CU,":[137],"Convolutional":[139],"Neural":[140],"Network":[141],"(CNN)":[142],"structure":[143,157],"fusion":[147],"utilized":[149],"classify":[151,161],"Otherwise,":[153],"CNN":[156,188],"used":[159],"CUs.":[162,205],"Finally,":[163],"division":[165],"determined":[169],"trained":[172],"network":[173],"parameters":[176],"When":[179],"split,":[184],"above":[186],"two":[187],"schemes":[189],"can":[190],"successfully":[191],"process":[192],"training":[194],"samples":[195],"terminate":[197],"optimization":[200],"(RDO)":[201],"some":[204],"experimental":[207],"results":[208],"indicate":[209],"that":[210],"reduces":[214],"computational":[216],"saves":[219],"39.39%":[220],"encoding":[221,226],"thereby":[223],"achieving":[224],"fast":[225],"H.266/VVC.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}