{"id":"https://openalex.org/W1528177060","doi":"https://doi.org/10.1109/tip.2015.2445572","title":"RPCA-KFE: Key Frame Extraction for Video Using Robust Principal Component Analysis","display_name":"RPCA-KFE: Key Frame Extraction for Video Using Robust Principal Component Analysis","publication_year":2015,"publication_date":"2015-06-15","ids":{"openalex":"https://openalex.org/W1528177060","doi":"https://doi.org/10.1109/tip.2015.2445572","mag":"1528177060","pmid":"https://pubmed.ncbi.nlm.nih.gov/26087486"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2015.2445572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2445572","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1405.1678","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101809900","display_name":"Chinh Dang","orcid":"https://orcid.org/0000-0002-4496-9927"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chinh Dang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA","Department of Electrical & Computer Engineering Michigan State University, East Lansing, MI, USA"],"raw_orcid":"https://orcid.org/0000-0002-4496-9927","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Department of Electrical & Computer Engineering Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015107642","display_name":"Hayder Radha","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hayder Radha","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA","Department of Electrical & Computer Engineering Michigan State University, East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Department of Electrical & Computer Engineering Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8676,"has_fulltext":false,"cited_by_count":69,"citation_normalized_percentile":{"value":0.96716873,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"24","issue":"11","first_page":"3742","last_page":"3753"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9818000197410583,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9818000197410583,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.00559999980032444,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.001500000013038516,"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/computer-science","display_name":"Computer science","score":0.792168140411377},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.7546983957290649},{"id":"https://openalex.org/keywords/key-frame","display_name":"Key frame","score":0.6803642511367798},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.6783816814422607},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6325149536132812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5586110353469849},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5111134648323059},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.4471014738082886},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4426553249359131},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4294782280921936},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41844138503074646},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.39180654287338257}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.792168140411377},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.7546983957290649},{"id":"https://openalex.org/C2780139006","wikidata":"https://www.wikidata.org/wiki/Q1493902","display_name":"Key frame","level":3,"score":0.6803642511367798},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.6783816814422607},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6325149536132812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5586110353469849},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5111134648323059},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.4471014738082886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4426553249359131},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4294782280921936},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41844138503074646},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.39180654287338257},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2015.2445572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2445572","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:26087486","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26087486","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:1405.1678","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1405.1678","pdf_url":"https://arxiv.org/pdf/1405.1678","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1405.1678","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1405.1678","pdf_url":"https://arxiv.org/pdf/1405.1678","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G598378232","display_name":null,"funder_award_id":"1331852","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6394695711","display_name":null,"funder_award_id":"1117709","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320308745","display_name":"Vietnam Education Foundation","ror":"https://ror.org/048c6ht78"},{"id":"https://openalex.org/F4320310016","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1574877207","https://openalex.org/W1963878379","https://openalex.org/W1966872876","https://openalex.org/W1974042113","https://openalex.org/W1974875685","https://openalex.org/W1986736933","https://openalex.org/W1987366351","https://openalex.org/W1989863986","https://openalex.org/W1994864760","https://openalex.org/W2002267048","https://openalex.org/W2002645931","https://openalex.org/W2003217181","https://openalex.org/W2009234819","https://openalex.org/W2030370977","https://openalex.org/W2033431158","https://openalex.org/W2045377163","https://openalex.org/W2048695508","https://openalex.org/W2050834445","https://openalex.org/W2052897454","https://openalex.org/W2059090073","https://openalex.org/W2077010306","https://openalex.org/W2088670710","https://openalex.org/W2091741383","https://openalex.org/W2094161515","https://openalex.org/W2094998392","https://openalex.org/W2095536970","https://openalex.org/W2109240917","https://openalex.org/W2109247023","https://openalex.org/W2111842831","https://openalex.org/W2117082993","https://openalex.org/W2121148353","https://openalex.org/W2134577448","https://openalex.org/W2138002832","https://openalex.org/W2141858776","https://openalex.org/W2144139464","https://openalex.org/W2145962650","https://openalex.org/W2151822922","https://openalex.org/W2152433968","https://openalex.org/W2158325840","https://openalex.org/W2160547390","https://openalex.org/W2165232124","https://openalex.org/W3102775077","https://openalex.org/W6680496891","https://openalex.org/W6681374962"],"related_works":["https://openalex.org/W4283792950","https://openalex.org/W2549425886","https://openalex.org/W2124460284","https://openalex.org/W2136668498","https://openalex.org/W2563483704","https://openalex.org/W3124370832","https://openalex.org/W3003801099","https://openalex.org/W2003667605","https://openalex.org/W62130100","https://openalex.org/W2908469318"],"abstract_inverted_index":{"Key":[0],"frame":[1,92],"extraction":[2,93],"algorithms":[3,52,72,252],"consider":[4],"the":[5,12,42,56,63,68,74,79,84,107,124,127,140,144,147,167,186,218,238,245,255,258],"problem":[6,183],"of":[7,11,41,51,67,110,146,154,158,189,217,228,233,237,257],"selecting":[8],"a":[9,17,89,135,152,178,195,226],"subset":[10],"most":[13],"informative":[14],"frames":[15,40,113],"from":[16,33,37,114],"video":[18,27,43,58],"to":[19,184,199],"summarize":[20],"its":[21],"content.":[22],"Several":[23],"applications,":[24],"such":[25],"as":[26],"summarization,":[28],"search,":[29],"indexing,":[30],"and":[31,150,230,248],"prints":[32],"video,":[34],"can":[35],"benefit":[36],"extracted":[38],"key":[39,81,91,112,190],"under":[44],"consideration.":[45],"Most":[46],"approaches":[47],"in":[48,83,166],"this":[49,87,201],"class":[50],"work":[53],"directly":[54],"with":[55,244,249],"input":[57,131],"data":[59,69,132,148,169],"set,":[60],"without":[61],"considering":[62],"underlying":[64,219],"low-rank":[65,75,136],"structure":[66],"set.":[70,170],"Other":[71],"exploit":[73],"component":[76,99,137],"only,":[77],"ignoring":[78],"other":[80,231],"information":[82,142,162,173],"video.":[85,220],"In":[86],"paper,":[88],"novel":[90,196],"framework":[94,120,207],"based":[95],"on":[96,225],"robust":[97],"principal":[98],"analysis":[100],"(RPCA)":[101],"is":[102,121],"proposed.":[103],"Furthermore,":[104],"we":[105,193],"target":[106],"challenging":[108],"application":[109],"extracting":[111],"unstructured":[115],"consumer":[116,229],"videos.":[117,234],"The":[118,171,204],"proposed":[119,205,259],"motivated":[122],"by":[123,241],"observation":[125],"that":[126,138],"RPCA":[128],"decomposes":[129],"an":[130],"into:":[133],"1)":[134],"reveals":[139],"systematic":[141],"across":[143],"elements":[145],"set":[149,153],"2)":[151],"sparse":[155],"components":[156],"each":[157,164],"which":[159],"containing":[160],"distinct":[161],"about":[163],"element":[165],"same":[168],"two":[172],"types":[174,232],"are":[175,223],"combined":[176],"into":[177],"single":[179],"l1-norm-based":[180],"non-convex":[181],"optimization":[182,202],"extract":[185],"desired":[187],"number":[188],"frames.":[191],"Moreover,":[192],"develop":[194],"iterative":[197],"algorithm":[198],"solve":[200],"problem.":[203],"RPCA-based":[206,260],"does":[208],"not":[209],"require":[210],"shot(s)":[211],"detection,":[212],"segmentation,":[213],"or":[214],"semantic":[215],"understanding":[216],"Finally,":[221],"experiments":[222],"performed":[224],"variety":[227],"A":[235],"comparison":[236],"results":[239],"obtained":[240],"our":[242],"method":[243],"ground":[246],"truth":[247],"related":[250],"state-of-the-art":[251],"clearly":[253],"illustrates":[254],"viability":[256],"framework.":[261]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
