{"id":"https://openalex.org/W2575078139","doi":"https://doi.org/10.1109/vcip.2016.7805437","title":"Frame rate up-conversion based on motion-region segmentation","display_name":"Frame rate up-conversion based on motion-region segmentation","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2575078139","doi":"https://doi.org/10.1109/vcip.2016.7805437","mag":"2575078139"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2016.7805437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","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/A5046406182","display_name":"Wenbo Bao","orcid":"https://orcid.org/0000-0001-5139-9232"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Bao","raw_affiliation_strings":["Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100452809","display_name":"Xiaoyun Zhang","orcid":"https://orcid.org/0000-0001-7680-4062"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyun Zhang","raw_affiliation_strings":["Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101926731","display_name":"Zhiyong Gao","orcid":"https://orcid.org/0000-0003-4204-6536"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Gao","raw_affiliation_strings":["Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100379203","display_name":"Li Chen","orcid":"https://orcid.org/0000-0001-9899-2535"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Chen","raw_affiliation_strings":["Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":null,"first_page":"1","last_page":"4"},"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":0.9994999766349792,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9991000294685364,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7682421207427979},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7625121474266052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6820391416549683},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6632362604141235},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5591877698898315},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.5101950168609619},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.5064858198165894},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.49085479974746704},{"id":"https://openalex.org/keywords/inter-frame","display_name":"Inter frame","score":0.49035143852233887},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.47278475761413574},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4717721939086914},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.468481183052063},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.45405063033103943},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.44600123167037964},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4106799066066742},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34994590282440186},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.32182127237319946},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29851552844047546},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1305255889892578}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7682421207427979},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7625121474266052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6820391416549683},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6632362604141235},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5591877698898315},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.5101950168609619},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.5064858198165894},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.49085479974746704},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.49035143852233887},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.47278475761413574},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4717721939086914},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.468481183052063},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.45405063033103943},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.44600123167037964},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4106799066066742},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34994590282440186},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.32182127237319946},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29851552844047546},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1305255889892578},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2016.7805437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.47999998927116394,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1980131431","https://openalex.org/W2012015451","https://openalex.org/W2044988356","https://openalex.org/W2048548642","https://openalex.org/W2096609483","https://openalex.org/W2102373442","https://openalex.org/W2120380912","https://openalex.org/W2150593711","https://openalex.org/W2151103935","https://openalex.org/W2159667662","https://openalex.org/W2162587881","https://openalex.org/W6675612723"],"related_works":["https://openalex.org/W2070879308","https://openalex.org/W1579940903","https://openalex.org/W2140220292","https://openalex.org/W1969136679","https://openalex.org/W2133010564","https://openalex.org/W4250500397","https://openalex.org/W2100145287","https://openalex.org/W2384028506","https://openalex.org/W2073414691","https://openalex.org/W2027171676"],"abstract_inverted_index":{"The":[0],"key":[1],"problem":[2],"of":[3,44,99],"frame":[4],"rate":[5],"up-conversion":[6],"(FRUC)":[7],"is":[8],"to":[9,34,63,85],"obtain":[10],"true":[11,48,59],"motion":[12,18,74],"vectors":[13],"(MV),":[14],"especially":[15],"for":[16],"the":[17,64,86,89],"boundaries.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23],"propose":[24],"a":[25,42,57],"novel":[26],"FRUC":[27],"algorithm":[28,91],"based":[29,70],"on":[30],"motion-region":[31,68],"segmentation.":[32],"According":[33],"region's":[35],"temporal":[36],"consistency,":[37],"motion-regions":[38],"are":[39,61],"determined":[40],"by":[41,52],"categorization":[43],"detected":[45],"feature":[46],"points'":[47],"MVs.":[49],"Then,":[50],"constrained":[51],"MV's":[53],"spatial":[54],"smoothness":[55],"within":[56],"region,":[58],"motions":[60],"propagated":[62],"entire":[65],"frame.":[66],"This":[67],"segmentation":[69],"method":[71],"achieves":[72],"truthful":[73],"vector":[75],"field":[76],"and":[77,101],"preferable":[78],"interpolated":[79],"frames.":[80],"Experiments":[81],"show":[82],"that":[83],"comparing":[84],"state-of-art":[87],"methods,":[88],"proposed":[90],"produces":[92],"videos":[93],"with":[94],"better":[95],"quality":[96],"in":[97],"terms":[98],"objective":[100],"subjective":[102],"evaluation.":[103]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}