{"id":"https://openalex.org/W3089383175","doi":"https://doi.org/10.1109/icip40778.2020.9191325","title":"Frame Rate Up-Conversion Using Bi-Directional Optical Flows With Dual Regularization","display_name":"Frame Rate Up-Conversion Using Bi-Directional Optical Flows With Dual Regularization","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3089383175","doi":"https://doi.org/10.1109/icip40778.2020.9191325","mag":"3089383175"},"language":"en","primary_location":{"id":"doi:10.1109/icip40778.2020.9191325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","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/A5025148439","display_name":"Rahul Vanam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rahul Vanam","raw_affiliation_strings":["Brightcove Inc., USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brightcove Inc., USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047345539","display_name":"Yuriy A. Reznik","orcid":"https://orcid.org/0000-0003-4233-5805"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuriy A. Reznik","raw_affiliation_strings":["Brightcove Inc., USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brightcove Inc., USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4272,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68838982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"558","last_page":"562"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/regularization","display_name":"Regularization (linguistics)","score":0.758672833442688},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7167139649391174},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.6621620655059814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5635421276092529},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5546419620513916},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5022439956665039},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4801616072654724},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4646354019641876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46254274249076843},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.45759257674217224},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.44527536630630493},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4451686441898346},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.41962334513664246},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20488202571868896}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.758672833442688},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7167139649391174},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.6621620655059814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5635421276092529},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5546419620513916},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5022439956665039},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4801616072654724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4646354019641876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46254274249076843},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.45759257674217224},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.44527536630630493},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4451686441898346},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.41962334513664246},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20488202571868896},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip40778.2020.9191325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","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":14,"referenced_works":["https://openalex.org/W65124300","https://openalex.org/W1543904160","https://openalex.org/W1578285471","https://openalex.org/W1867429401","https://openalex.org/W2012015451","https://openalex.org/W2118877769","https://openalex.org/W2510924253","https://openalex.org/W2591734287","https://openalex.org/W2751023760","https://openalex.org/W2797683898","https://openalex.org/W2964251418","https://openalex.org/W2970012313","https://openalex.org/W6639126518","https://openalex.org/W6677548441"],"related_works":["https://openalex.org/W839483973","https://openalex.org/W1604953040","https://openalex.org/W4241657933","https://openalex.org/W1969136679","https://openalex.org/W2123542128","https://openalex.org/W4250500397","https://openalex.org/W2156379140","https://openalex.org/W2114935989","https://openalex.org/W2380461545","https://openalex.org/W1989248078"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5],"frame":[6],"rate":[7],"up-conversion":[8],"(FRUC)":[9],"scheme":[10],"that":[11,102],"uses":[12],"optical":[13],"flows":[14],"in":[15,42],"forward":[16],"and":[17,20,92],"backward":[18],"directions":[19],"with":[21,63],"two":[22],"different":[23,88],"regularization":[24],"parameters":[25],"to":[26,46,73,111],"derive":[27],"alternative":[28],"motion":[29,33,49,65],"vector":[30],"fields.":[31],"The":[32],"vectors":[34,66],"are":[35,67,85],"then":[36,55],"assessed":[37],"for":[38],"their":[39,70],"relevance,":[40],"resulting":[41],"prediction":[43],"weights":[44,72],"assigned":[45],"each":[47],"candidate":[48],"vector.":[50],"Multiple":[51],"hypothesis":[52],"reconstruction":[53],"is":[54],"performed,":[56],"where":[57],"overlapping":[58],"patches":[59],"of":[60,76,82],"pixels":[61,75],"associated":[62],"multiple":[64],"fused":[68],"using":[69,97],"corresponding":[71],"yield":[74,106],"an":[77],"interpolated":[78],"frame.":[79],"Four":[80],"flavors":[81],"our":[83,104],"approach":[84],"proposed":[86],"having":[87],"tradeoffs":[89],"between":[90],"quality":[91,109],"computational":[93],"complexity.":[94],"Experiments":[95],"conducted":[96],"standard":[98],"test":[99],"set":[100],"show":[101],"all":[103],"schemes":[105],"significantly":[107],"higher":[108],"compared":[110],"existing":[112],"FRUC":[113],"algorithms.":[114]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
