{"id":"https://openalex.org/W2102373442","doi":"https://doi.org/10.1109/iscas.2013.6572508","title":"Adaptive motion estimation order for frame rate up-conversion","display_name":"Adaptive motion estimation order for frame rate up-conversion","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2102373442","doi":"https://doi.org/10.1109/iscas.2013.6572508","mag":"2102373442"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2013.6572508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2013.6572508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Circuits and Systems (ISCAS2013)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101028540","display_name":"Chengzhou Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengzhou Tang","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China","[Shenzhen Grad. Sch., Sch. of Electron. & Comput. Eng., Peking Univ., Shenzhen, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"[Shenzhen Grad. Sch., Sch. of Electron. & Comput. Eng., Peking Univ., Shenzhen, China]","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061730453","display_name":"Ronggang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronggang Wang","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China","[Shenzhen Grad. Sch., Sch. of Electron. & Comput. Eng., Peking Univ., Shenzhen, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"[Shenzhen Grad. Sch., Sch. of Electron. & Comput. Eng., Peking Univ., Shenzhen, China]","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017052768","display_name":"Wenmin Wang","orcid":"https://orcid.org/0000-0003-2664-4413"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenmin Wang","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China","[Shenzhen Grad. Sch., Sch. of Electron. & Comput. Eng., Peking Univ., Shenzhen, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"[Shenzhen Grad. Sch., Sch. of Electron. & Comput. Eng., Peking Univ., Shenzhen, China]","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"2992","last_page":"2995"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":1.0,"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":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","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/T11165","display_name":"Image and Video Quality Assessment","score":0.9987999796867371,"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/raster-graphics","display_name":"Raster graphics","score":0.8101617097854614},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6605644226074219},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.625521183013916},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.6082477569580078},{"id":"https://openalex.org/keywords/raster-scan","display_name":"Raster scan","score":0.6034079790115356},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6014195680618286},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5973824262619019},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.559110701084137},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5483494400978088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5006561279296875},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3485492169857025},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3083517253398895},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06392371654510498}],"concepts":[{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.8101617097854614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6605644226074219},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.625521183013916},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.6082477569580078},{"id":"https://openalex.org/C145406643","wikidata":"https://www.wikidata.org/wiki/Q2641959","display_name":"Raster scan","level":2,"score":0.6034079790115356},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6014195680618286},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5973824262619019},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.559110701084137},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5483494400978088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5006561279296875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3485492169857025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3083517253398895},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06392371654510498},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2013.6572508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2013.6572508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Circuits and Systems (ISCAS2013)","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":23,"referenced_works":["https://openalex.org/W1532362218","https://openalex.org/W1758919547","https://openalex.org/W1996443413","https://openalex.org/W2014506555","https://openalex.org/W2025686887","https://openalex.org/W2039181402","https://openalex.org/W2091853885","https://openalex.org/W2099124466","https://openalex.org/W2099839012","https://openalex.org/W2111308925","https://openalex.org/W2118877769","https://openalex.org/W2133665775","https://openalex.org/W2143382771","https://openalex.org/W2145251738","https://openalex.org/W2149065427","https://openalex.org/W2152462980","https://openalex.org/W2161359508","https://openalex.org/W6631707545","https://openalex.org/W6637967918","https://openalex.org/W6653933184","https://openalex.org/W6673596954","https://openalex.org/W6677548441","https://openalex.org/W6683810301"],"related_works":["https://openalex.org/W1984055937","https://openalex.org/W4385770201","https://openalex.org/W1974004953","https://openalex.org/W204409194","https://openalex.org/W2093392189","https://openalex.org/W2377833861","https://openalex.org/W2027078417","https://openalex.org/W1983764641","https://openalex.org/W2074191796","https://openalex.org/W1969563281"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3,41],"adaptive":[4,103,147,176],"motion":[5,48],"estimation":[6],"(ME)":[7],"order":[8,23,42,128,178],"for":[9,24],"frame":[10,121,156],"rate":[11,157],"up-conversion":[12],"(FRUC).":[13],"Almost":[14],"all":[15],"existing":[16],"FRUC":[17],"methods":[18,186],"adopt":[19],"a":[20,52,87,120],"raster":[21,37,171],"scan":[22,38,172],"ME.":[25],"The":[26,54,85],"ME":[27,71,96,148,177,185],"is":[28,72,97],"performed":[29,73,98],"from":[30],"top-left":[31],"blocks":[32,35,60,77,91,108],"to":[33,79,82,89,111,123,129],"bottom-right":[34],"in":[36,62,144,188],"order.":[39,149,173],"Such":[40],"can":[43,179],"propagate":[44],"some":[45],"wrongly":[46],"estimated":[47,117],"vectors":[49],"(MV)":[50],"through":[51],"frame.":[53],"proposed":[55,135,146],"method":[56],"first":[57],"detects":[58],"the":[59,75,93,95,116,124,131,134,139,145,151,153,167,175],"rich":[61],"features":[63],"(feature":[64],"blocks)":[65],"and":[66],"estimates":[67],"their":[68,80],"MVs.":[69],"Then":[70],"on":[74,99],"other":[76],"according":[78],"distance":[81],"feature":[83,90,107],"blocks.":[84],"closer":[86],"block":[88],"is;":[92],"earlier":[94],"it.":[100],"In":[101,127,150],"this":[102],"order,":[104],"MVs":[105,140],"of":[106,119,133,155],"are":[109],"propagated":[110],"its":[112],"neighbors.":[113],"It":[114],"makes":[115],"motions":[118],"close":[122],"true":[125],"motions.":[126],"demonstrate":[130],"efficiency":[132],"method,":[136],"we":[137],"estimate":[138],"with":[141,166,183],"diamond":[142],"search":[143],"experiments,":[152],"quality":[154],"up":[158],"converted":[159],"videos":[160],"have":[161],"been":[162],"significantly":[163],"improved":[164],"compared":[165],"ones":[168],"using":[169],"traditional":[170],"Moreover,":[174],"be":[180],"easily":[181],"combined":[182],"various":[184],"applied":[187],"previous":[189],"FRUC.":[190]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
