{"id":"https://openalex.org/W3094476726","doi":"https://doi.org/10.1109/tbc.2020.3028323","title":"Fine-Grained Motion Estimation for Video Frame Interpolation","display_name":"Fine-Grained Motion Estimation for Video Frame Interpolation","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3094476726","doi":"https://doi.org/10.1109/tbc.2020.3028323","mag":"3094476726"},"language":"en","primary_location":{"id":"doi:10.1109/tbc.2020.3028323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbc.2020.3028323","pdf_url":null,"source":{"id":"https://openalex.org/S100142436","display_name":"IEEE Transactions on Broadcasting","issn_l":"0018-9316","issn":["0018-9316","1557-9611"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Broadcasting","raw_type":"journal-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/A5081115024","display_name":"Bo Yan","orcid":"https://orcid.org/0000-0003-0256-9682"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Yan","raw_affiliation_strings":["School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048621299","display_name":"Weimin Tan","orcid":"https://orcid.org/0000-0001-7677-4772"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weimin Tan","raw_affiliation_strings":["School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090180766","display_name":"Chuming Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuming Lin","raw_affiliation_strings":["School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048268082","display_name":"Liquan Shen","orcid":"https://orcid.org/0000-0002-2148-6279"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liquan Shen","raw_affiliation_strings":["Key Laboratory of Advanced Display and System Application, School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Display and System Application, School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081115024"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.6839,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.72344895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"67","issue":"1","first_page":"174","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":0.9995999932289124,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/motion-interpolation","display_name":"Motion interpolation","score":0.8206543922424316},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.815132200717926},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.7465581893920898},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7207244634628296},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6901258826255798},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6571343541145325},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.6028046011924744},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5893736481666565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5852967500686646},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5554323792457581},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.552409291267395},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5099650621414185},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.27673786878585815},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1992754340171814},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.1763814389705658},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.14234581589698792},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09900489449501038}],"concepts":[{"id":"https://openalex.org/C72560505","wikidata":"https://www.wikidata.org/wiki/Q204510","display_name":"Motion interpolation","level":5,"score":0.8206543922424316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.815132200717926},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.7465581893920898},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7207244634628296},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6901258826255798},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6571343541145325},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.6028046011924744},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5893736481666565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5852967500686646},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5554323792457581},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.552409291267395},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5099650621414185},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.27673786878585815},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1992754340171814},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.1763814389705658},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.14234581589698792},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09900489449501038},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbc.2020.3028323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbc.2020.3028323","pdf_url":null,"source":{"id":"https://openalex.org/S100142436","display_name":"IEEE Transactions on Broadcasting","issn_l":"0018-9316","issn":["0018-9316","1557-9611"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Broadcasting","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1738100510","display_name":null,"funder_award_id":"61902076","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1814295071","display_name":null,"funder_award_id":"61772137","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W1513100184","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1762798876","https://openalex.org/W1905052409","https://openalex.org/W1998309700","https://openalex.org/W2000053753","https://openalex.org/W2036343080","https://openalex.org/W2078090809","https://openalex.org/W2087676474","https://openalex.org/W2118610727","https://openalex.org/W2123898224","https://openalex.org/W2130864343","https://openalex.org/W2147253850","https://openalex.org/W2155318440","https://openalex.org/W2158919891","https://openalex.org/W2163605009","https://openalex.org/W2165867298","https://openalex.org/W2194775991","https://openalex.org/W2315469123","https://openalex.org/W2346830975","https://openalex.org/W2348664362","https://openalex.org/W2484066143","https://openalex.org/W2548527721","https://openalex.org/W2560474170","https://openalex.org/W2586480386","https://openalex.org/W2604329646","https://openalex.org/W2737529999","https://openalex.org/W2769417259","https://openalex.org/W2769654144","https://openalex.org/W2949258649","https://openalex.org/W2963093735","https://openalex.org/W2963125871","https://openalex.org/W2963189365","https://openalex.org/W2963210183","https://openalex.org/W2963268050","https://openalex.org/W2963782415","https://openalex.org/W2964121744","https://openalex.org/W2964251418","https://openalex.org/W2973076848","https://openalex.org/W2973673960","https://openalex.org/W3102015846","https://openalex.org/W4297772798","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6691096134","https://openalex.org/W6735698919"],"related_works":["https://openalex.org/W3015492429","https://openalex.org/W2030154815","https://openalex.org/W1981567325","https://openalex.org/W2051121715","https://openalex.org/W2130897820","https://openalex.org/W3182003342","https://openalex.org/W2001793939","https://openalex.org/W2548663392","https://openalex.org/W4313011307","https://openalex.org/W2039648336"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,29,46,64,171],"video":[3,80],"frame":[4,23,81],"interpolation":[5],"have":[6,35],"shown":[7],"that":[8,43,186],"convolutional":[9,143],"neural":[10,144],"networks":[11],"combined":[12],"with":[13,38,58,146,169],"optical":[14,103,130],"flow":[15],"are":[16,111],"capable":[17],"of":[18,109,173,200],"producing":[19],"a":[20,72,141],"high-quality":[21],"intermediate":[22],"between":[24],"two":[25,86],"consecutive":[26],"input":[27],"frames":[28],"most":[30],"scenes.":[31],"However,":[32],"existing":[33,181],"methods":[34],"difficulties":[36],"dealing":[37],"large":[39],"and":[40,91,105,132,150,166,176,193],"non-uniform":[41],"motions":[42],"widely":[44],"exist":[45],"real-world":[47,167],"scenes":[48],"because":[49],"they":[50],"often":[51],"adopt":[52],"the":[53,115,187,197],"same":[54],"strategy":[55,98,120],"to":[56,100,113,122],"deal":[57],"different":[59],"motions,":[60],"which":[61,110],"easily":[62],"results":[63,160],"unsatisfactory":[65],"results.":[66],"In":[67],"this":[68,155],"article,":[69],"we":[70,139,184],"propose":[71,140],"novel":[73],"fine-grained":[74,124],"motion":[75,93,125,152],"estimation":[76],"approach":[77,189],"(FGME)":[78],"for":[79],"interpolation.":[82],"It":[83],"mainly":[84],"contains":[85],"strategies:":[87],"multi-scale":[88],"coarse-to-fine":[89],"optimization":[90],"multiple":[92,129],"features":[94,126],"estimation.":[95],"The":[96,118],"first":[97],"is":[99],"gradually":[101],"refine":[102],"flows":[104,131],"weight":[106,133],"maps,":[107],"both":[108],"used":[112],"synthesize":[114],"target":[116],"frame.":[117],"second":[119],"aims":[121],"provide":[123],"by":[127],"generating":[128],"maps.":[134],"To":[135],"demonstrate":[136,185],"its":[137],"effectiveness,":[138,174],"fully":[142],"network":[145,157,177],"three":[147,162],"refinement":[148],"scales":[149],"four":[151],"features.":[153],"Surprisingly,":[154],"simple":[156],"produces":[158],"state-of-the-art":[159],"on":[161],"standard":[163],"benchmark":[164],"datasets":[165],"examples,":[168],"advantages":[170],"terms":[172],"simplicity,":[175],"size":[178],"over":[179],"other":[180,201],"approaches.":[182],"Furthermore,":[183],"FGME":[188],"has":[190],"good":[191],"generality":[192],"can":[194],"significantly":[195],"improve":[196],"synthesis":[198],"quality":[199],"methods.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}