{"id":"https://openalex.org/W2000540279","doi":"https://doi.org/10.1109/tip.2014.2321476","title":"Common and Innovative Visuals: A Sparsity Modeling Framework for Video","display_name":"Common and Innovative Visuals: A Sparsity Modeling Framework for Video","publication_year":2014,"publication_date":"2014-05-02","ids":{"openalex":"https://openalex.org/W2000540279","doi":"https://doi.org/10.1109/tip.2014.2321476","mag":"2000540279","pmid":"https://pubmed.ncbi.nlm.nih.gov/24808407"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2014.2321476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2321476","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":["crossref","pubmed"],"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/A5103414787","display_name":"Abdolreza Abdolhosseini Moghadam","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":"Abdolreza Abdolhosseini Moghadam","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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110052521","display_name":"Mrityunjay Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I175669267","display_name":"Carestream (United States)","ror":"https://ror.org/048m16q57","country_code":"US","type":"company","lineage":["https://openalex.org/I175669267"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mrityunjay Kumar","raw_affiliation_strings":["Eastman Kodak Company, Rochester, NY, USA","Eastman Kodak Company, Rochester, NY, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eastman Kodak Company, Rochester, NY, USA","institution_ids":["https://openalex.org/I175669267"]},{"raw_affiliation_string":"Eastman Kodak Company, Rochester, NY, USA#TAB#","institution_ids":["https://openalex.org/I175669267"]}]},{"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":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6102,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81475962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"23","issue":"9","first_page":"4055","last_page":"4069"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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":0.8186094760894775},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7706883549690247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.751779317855835},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6669369339942932},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5884914994239807},{"id":"https://openalex.org/keywords/video-compression-picture-types","display_name":"Video compression picture types","score":0.5589576363563538},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.5567488670349121},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5286612510681152},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.5154343843460083},{"id":"https://openalex.org/keywords/video-post-processing","display_name":"Video post-processing","score":0.47977763414382935},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.470117449760437},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46653085947036743},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4556460976600647},{"id":"https://openalex.org/keywords/video-editing","display_name":"Video editing","score":0.4520639181137085},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.43950629234313965},{"id":"https://openalex.org/keywords/multiview-video-coding","display_name":"Multiview Video Coding","score":0.31943750381469727},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28256046772003174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8186094760894775},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7706883549690247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.751779317855835},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6669369339942932},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5884914994239807},{"id":"https://openalex.org/C106030495","wikidata":"https://www.wikidata.org/wiki/Q1797012","display_name":"Video compression picture types","level":4,"score":0.5589576363563538},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.5567488670349121},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5286612510681152},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.5154343843460083},{"id":"https://openalex.org/C117090137","wikidata":"https://www.wikidata.org/wiki/Q7927977","display_name":"Video post-processing","level":5,"score":0.47977763414382935},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.470117449760437},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46653085947036743},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4556460976600647},{"id":"https://openalex.org/C2780310081","wikidata":"https://www.wikidata.org/wiki/Q1154312","display_name":"Video editing","level":2,"score":0.4520639181137085},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.43950629234313965},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.31943750381469727},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28256046772003174},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2014.2321476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2321476","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:24808407","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24808407","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307795","display_name":"Eastman Kodak","ror":"https://ror.org/04rn3ph18"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W53949016","https://openalex.org/W1744937271","https://openalex.org/W1974042113","https://openalex.org/W1986931325","https://openalex.org/W1995903777","https://openalex.org/W1997975608","https://openalex.org/W2102248644","https://openalex.org/W2106407813","https://openalex.org/W2110531954","https://openalex.org/W2127271355","https://openalex.org/W2131565286","https://openalex.org/W2137680370","https://openalex.org/W2139047213","https://openalex.org/W2143715815","https://openalex.org/W2145096794","https://openalex.org/W2147555557","https://openalex.org/W2154332973","https://openalex.org/W2156590040","https://openalex.org/W2159122305","https://openalex.org/W2293430386","https://openalex.org/W3022380717","https://openalex.org/W4250955649","https://openalex.org/W6602209453","https://openalex.org/W6637654295"],"related_works":["https://openalex.org/W3013182045","https://openalex.org/W2111427603","https://openalex.org/W2136468468","https://openalex.org/W2589628610","https://openalex.org/W3151022025","https://openalex.org/W3049047728","https://openalex.org/W2164320023","https://openalex.org/W2783749862","https://openalex.org/W2099031831","https://openalex.org/W2004797183"],"abstract_inverted_index":{"Efficient":[0],"video":[1,8,31,106,157,174],"representation":[2],"models":[3],"are":[4,42,183],"critical":[5],"for":[6,104,155,171],"many":[7],"analysis":[9],"and":[10,64,83,100,118,135,151,165,179,189],"processing":[11,158],"tasks.":[12],"In":[13],"this":[14],"paper,":[15],"we":[16],"present":[17],"a":[18,48,66],"framework":[19,114],"based":[20],"on":[21,85,162],"the":[22,26,35,53,59,62,73,77,89,97,101,111,124,144,187,190,193],"concept":[23],"of":[24,68,76,91,192],"finding":[25],"sparsest":[27],"solution":[28],"to":[29,57,94,110,130,138,149,185],"model":[30,34,126,146],"frames.":[32],"To":[33],"spatio-temporal":[36],"information,":[37],"frames":[38,60,103],"from":[39,140],"one":[40],"scene":[41,132,180],"decomposed":[43],"into":[44],"two":[45],"components:":[46],"(i)":[47],"common":[49,56,98],"frame,":[50],"which":[51,71],"describes":[52],"visual":[54],"information":[55],"all":[58],"in":[61,88],"scene/segment,":[63],"(ii)":[65],"set":[67],"innovative":[69,102],"frames,":[70],"depicts":[72],"dynamic":[74],"behaviour":[75],"scene.":[78],"The":[79],"proposed":[80,112,125,145,194],"approach":[81],"exploits":[82],"builds":[84],"recent":[86],"results":[87],"field":[90],"compressed":[92],"sensing":[93],"jointly":[95],"estimate":[96],"frame":[99],"each":[105],"segment.":[107],"We":[108,121],"refer":[109],"modeling":[113],"by":[115],"CIV":[116,137],"(Common":[117],"Innovative":[119],"Visuals).":[120],"show":[122],"how":[123],"can":[127,152],"be":[128,153],"utilized":[129],"find":[131],"change":[133,181],"boundaries":[134],"extend":[136],"videos":[139],"multiple":[141],"scenes.":[142],"Furthermore,":[143],"is":[147],"robust":[148],"noise":[150],"used":[154],"various":[156],"applications":[159],"without":[160],"relying":[161],"motion":[163],"estimation":[164],"detection":[166,182],"or":[167],"image":[168],"segmentation.":[169],"Results":[170],"object":[172],"tracking,":[173],"editing":[175],"(object":[176],"removal,":[177],"inpainting)":[178],"presented":[184],"demonstrate":[186],"efficiency":[188],"performance":[191],"model.":[195]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
