{"id":"https://openalex.org/W2127274131","doi":"https://doi.org/10.1109/tcsvt.2009.2022798","title":"A Spatio-Temporal Auto Regressive Model for Frame Rate Upconversion","display_name":"A Spatio-Temporal Auto Regressive Model for Frame Rate Upconversion","publication_year":2009,"publication_date":"2009-05-19","ids":{"openalex":"https://openalex.org/W2127274131","doi":"https://doi.org/10.1109/tcsvt.2009.2022798","mag":"2127274131"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2009.2022798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2009.2022798","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5101653272","display_name":"Yongbing Zhang","orcid":"https://orcid.org/0009-0008-1568-3728"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongbing Zhang","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600353","display_name":"Debin Zhao","orcid":"https://orcid.org/0000-0003-3434-9967"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Debin Zhao","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024401174","display_name":"Xiangyang Ji","orcid":"https://orcid.org/0000-0002-7333-9975"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Ji","raw_affiliation_strings":["Broadband Networks and Digital Media Laboratory, Department of Automation, Tsinghua University, Beijing, China","[Broadband Networks and Digital Media Laboratory, Department of Automation, Tsinghua University, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"Broadband Networks and Digital Media Laboratory, Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Broadband Networks and Digital Media Laboratory, Department of Automation, Tsinghua University, Beijing, China]","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050071143","display_name":"Ronggang Wang","orcid":"https://orcid.org/0000-0003-0873-0465"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ronggang Wang","raw_affiliation_strings":["France Telecom Research and Development, Beijing Company Limited, Beijing, China","France Telecom Research and Development, Beijing Company Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"France Telecom Research and Development, Beijing Company Limited, Beijing, China","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"France Telecom Research and Development, Beijing Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018478553","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0002-8070-802X"},"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":"Wen Gao","raw_affiliation_strings":["Key Laboratory of Machine Perception, the School of Electronic Engineering and Computer Science, Peking University, Beijing, China","[Key Laboratory of Machine Perception, School of Electronic Engineering and Computer Science, Peking University, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, the School of Electronic Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"[Key Laboratory of Machine Perception, School of Electronic Engineering and Computer Science, Peking University, Beijing, China]","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101653272"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":4.5928,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.95279991,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"19","issue":"9","first_page":"1289","last_page":"1301"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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":0.996999979019165,"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/pixel","display_name":"Pixel","score":0.7196270823478699},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6924970149993896},{"id":"https://openalex.org/keywords/residual-frame","display_name":"Residual frame","score":0.6529778242111206},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5450820922851562},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5084832906723022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5078709721565247},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.48227694630622864},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.47040802240371704},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4612821936607361},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4446975886821747},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.4330137372016907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42361754179000854},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4067213833332062},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12804272770881653},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.07253748178482056}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7196270823478699},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6924970149993896},{"id":"https://openalex.org/C204641915","wikidata":"https://www.wikidata.org/wiki/Q7315509","display_name":"Residual frame","level":4,"score":0.6529778242111206},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5450820922851562},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5084832906723022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5078709721565247},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.48227694630622864},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.47040802240371704},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4612821936607361},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4446975886821747},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.4330137372016907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42361754179000854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4067213833332062},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12804272770881653},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.07253748178482056},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tcsvt.2009.2022798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2009.2022798","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.608.2647","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.608.2647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.jdl.ac.cn/doc/2010/ITIP_A Motion Aligned Auto-regressive Model for Frame Rate up Conversion.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.714.4460","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.714.4460","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.jdl.ac.cn/doc/2009/IEEE%20trans_A%20Spatio-temporal%20Auto-regressive%20Model%20for%20Frame%20Rate%20up%20Conversion.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1966793427","https://openalex.org/W1980619043","https://openalex.org/W1998748427","https://openalex.org/W2009035702","https://openalex.org/W2038587785","https://openalex.org/W2097871421","https://openalex.org/W2099678801","https://openalex.org/W2101268763","https://openalex.org/W2101322670","https://openalex.org/W2103336008","https://openalex.org/W2106219841","https://openalex.org/W2109586766","https://openalex.org/W2110440242","https://openalex.org/W2114316275","https://openalex.org/W2114961653","https://openalex.org/W2115161627","https://openalex.org/W2125328905","https://openalex.org/W2132608653","https://openalex.org/W2138313367","https://openalex.org/W2139016808","https://openalex.org/W2140199336","https://openalex.org/W2141870097","https://openalex.org/W2143382771","https://openalex.org/W2144564026","https://openalex.org/W2152462980","https://openalex.org/W2152633874","https://openalex.org/W2161359508","https://openalex.org/W2163436540","https://openalex.org/W2165867298","https://openalex.org/W2170565466","https://openalex.org/W6680949022","https://openalex.org/W6683810301","https://openalex.org/W6685356476"],"related_works":["https://openalex.org/W2337415362","https://openalex.org/W4312857205","https://openalex.org/W121273120","https://openalex.org/W2740820121","https://openalex.org/W317572212","https://openalex.org/W2002009170","https://openalex.org/W2034462085","https://openalex.org/W2080322084","https://openalex.org/W3203041407","https://openalex.org/W2602968760"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,30],"spatio-temporal":[4],"auto":[5],"regressive":[6],"(STAR)":[7],"model":[8,187],"for":[9],"frame":[10,22,120,138,174],"rate":[11],"upconversion.":[12],"In":[13,77],"the":[14,20,26,34,42,51,60,81,88,94,98,105,110,118,124,128,135,140,154,157,161,169,172,184,192],"STAR":[15,67,186],"model,":[16],"each":[17,78,84,114,146],"pixel":[18],"in":[19,59,87,117,160,198],"interpolated":[21,53,89,132,158,177,193],"is":[23,75,188],"approximated":[24,92,122],"as":[25,48,50,166,168],"weighted":[27],"combination":[28],"of":[29,83,113,145,200],"sample":[31,95,125],"space":[32,96,126],"including":[33],"pixels":[35,54,82,112],"within":[36,55],"its":[37,56,176],"two":[38],"temporal":[39],"neighborhoods":[40],"from":[41,97,127],"previous":[43,99,129,164],"and":[44,100,104,130,134,163,175,203],"following":[45,101,131],"original":[46,102,119,137,173],"frames":[47,90,103,133,159,194],"well":[49,167],"available":[52],"spatial":[57],"neighborhood":[58],"current":[61,136,162],"to-be-interpolated":[62,106],"frame.":[63,107],"To":[64],"derive":[65],"accurate":[66],"weights,":[68],"an":[69],"iterative":[70],"self-feedback":[71],"weight":[72],"training":[73,85,115,147],"algorithm":[74],"proposed.":[76],"iteration,":[79],"first":[80],"window":[86,116,148],"are":[91,121,149],"by":[93,123,151],"And":[108],"then":[109],"actual":[111],"with":[139,195],"same":[141],"weights.":[142],"The":[143],"weights":[144],"calculated":[150],"jointly":[152],"minimizing":[153],"distortion":[155,170],"between":[156,171],"iterations":[165],"one.":[178],"Extensive":[179],"simulation":[180],"results":[181],"demonstrate":[182],"that":[183],"proposed":[185],"able":[189],"to":[190],"yield":[191],"high":[196],"performance":[197],"terms":[199],"both":[201],"subjective":[202],"objective":[204],"qualities.":[205]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}