{"id":"https://openalex.org/W7161177211","doi":"https://doi.org/10.1109/dcc66757.2026.00105","title":"Fast Fractional Motion Estimation for H.266/VVC Leveraging Motion Vector Correlation from Adjacent CUs","display_name":"Fast Fractional Motion Estimation for H.266/VVC Leveraging Motion Vector Correlation from Adjacent CUs","publication_year":2026,"publication_date":"2026-03-24","ids":{"openalex":"https://openalex.org/W7161177211","doi":"https://doi.org/10.1109/dcc66757.2026.00105"},"language":null,"primary_location":{"id":"doi:10.1109/dcc66757.2026.00105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc66757.2026.00105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 Data Compression Conference (DCC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136174353","display_name":"Niehao Yang","orcid":null},"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":"Niehao Yang","raw_affiliation_strings":["Xidian University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136178947","display_name":"Wenjie Zou","orcid":null},"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":"Wenjie Zou","raw_affiliation_strings":["Xidian University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136162909","display_name":"Fuzheng Yang","orcid":null},"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":"Fuzheng Yang","raw_affiliation_strings":["Xidian University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5136174353"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.91421655,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"478","last_page":"478"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10305","display_name":"Power System Optimization and Stability","score":0.13459999859333038,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10305","display_name":"Power System Optimization and Stability","score":0.13459999859333038,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.11259999871253967,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.04360000044107437,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4885999858379364},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4293000102043152},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.3864000141620636},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3495999872684479},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.3255000114440918},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.3151000142097473}],"concepts":[{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4885999858379364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48840001225471497},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4293000102043152},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4165000021457672},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.3864000141620636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37450000643730164},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35929998755455017},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3495999872684479},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3361000120639801},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.3255000114440918},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.3151000142097473},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.27309998869895935},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2540999948978424},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.25}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dcc66757.2026.00105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc66757.2026.00105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 Data Compression Conference (DCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Motion":[0,15],"Estimation":[1,16],"(ME)":[2],"is":[3,55,75,99,184,217,229,233,251,274,298],"one":[4,189],"of":[5,22,72,190,197,242,322],"the":[6,20,73,90,94,112,126,136,145,165,172,175,180,204,214,224,236,245,254,257,262,268,284,295,306,313],"most":[7],"computationally":[8],"intensive":[9],"module":[10],"in":[11,77,155],"H.266/VVC,":[12],"and":[13,37,158,179,186,202,261,282],"Fractional":[14],"(FME)":[17],"accounts":[18],"for":[19,93,206,287],"majority":[21],"its":[23],"complexity.":[24],"While":[25],"substantial":[26],"research":[27],"efforts":[28],"have":[29],"been":[30],"devoted":[31],"to":[32,88,101,188,219,276,300],"affine":[33],"motion":[34,39,59,103,131,166,247],"estimation":[35,40],"(AME)":[36],"integer":[38,130],"(IME),":[41],"studies":[42],"on":[43,58],"FME":[44,53,83,91,110],"optimization":[45],"remain":[46],"limited.":[47],"In":[48],"this":[49,121],"paper,":[50],"a":[51,210,277,291,326],"fast":[52,225,269],"algorithm":[54,74,81,127,315],"proposed":[56,314],"based":[57],"vector":[60,132,167,248],"(MV)":[61],"correlation":[62],"from":[63,85,105,120,135,144,267],"spatially":[64],"adjacent":[65,118],"coding":[66],"units":[67],"(CUs).":[68],"The":[69,80,195],"overall":[70],"pipeline":[71],"illustrated":[76],"Fig.":[78],"1.":[79],"utilizes":[82],"results":[84,304],"neighboring":[86],"CUs":[87,119,134,140],"guide":[89],"process":[92],"current":[95,113,146,181],"CU.":[96],"A":[97],"buffer":[98],"maintained":[100],"store":[102],"information":[104,116],"recently":[106],"encoded":[107],"CUs.":[108,239],"During":[109],"processing,":[111],"CU":[114],"retrieves":[115],"about":[117],"buffer.":[122],"For":[123,161,240],"half-pixel":[124,192,215,226,264,270],"search,":[125],"first":[128],"identifies":[129],"(IMV)-similar":[133],"buffer,":[137],"defined":[138],"as":[139,171,253],"whose":[141],"MVs":[142],"differ":[143],"CU's":[147,177,182,259],"IMV":[148],"by":[149],"no":[150],"more":[151],"than":[152],"0.75":[153],"pixels":[154],"both":[156],"horizontal":[157],"vertical":[159],"dimensions.":[160],"each":[162,198,241],"IMV-similar":[163,238],"CU,":[164],"offset":[168,249],"(MVO),":[169],"calculated":[170,252],"difference":[173,255],"between":[174,256],"cached":[176,258],"MV":[178,260,265],"IMV,":[183],"computed":[185],"mapped":[187,275],"nine":[191],"search":[193,216,227,232,280,297],"directions.":[194],"occurrences":[196],"direction":[199,208],"are":[200],"accumulated,":[201],"if":[203,283],"count":[205,286],"any":[207,288],"satisfies":[209],"statistically":[211,292],"derived":[212,293],"threshold,":[213,294],"restricted":[218,299],"that":[220,301,312],"specific":[221,278],"direction.":[222],"When":[223],"condition":[228],"satisfied,":[230],"quarter-pixel":[231,246,279,296],"performed":[234],"utilizing":[235],"selected":[237],"these":[243],"CUs,":[244],"(QMVO)":[250],"predicted":[263],"obtained":[266],"search.":[271],"Each":[272],"QMVO":[273],"pattern,":[281],"occurrence":[285],"pattern":[289],"meets":[290],"pattern.":[302],"Experimental":[303],"under":[305],"VVenC":[307],"1.12.0":[308],"medium":[309],"preset":[310],"show":[311],"achieves":[316],"an":[317],"average":[318],"encoding":[319],"time":[320],"saving":[321],"1.44%":[323],"with":[324],"only":[325],"0.20%":[327],"BD-rate":[328],"increase.":[329]},"counts_by_year":[],"updated_date":"2026-05-16T06:04:12.930555","created_date":"2026-05-15T00:00:00"}
