{"id":"https://openalex.org/W2726394592","doi":"https://doi.org/10.1109/tsp.2017.2721905","title":"Structured Sparse Representation With Union of Data-Driven Linear and Multilinear Subspaces Model for Compressive Video Sampling","display_name":"Structured Sparse Representation With Union of Data-Driven Linear and Multilinear Subspaces Model for Compressive Video Sampling","publication_year":2017,"publication_date":"2017-06-29","ids":{"openalex":"https://openalex.org/W2726394592","doi":"https://doi.org/10.1109/tsp.2017.2721905","mag":"2726394592"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2017.2721905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.2721905","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","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/A5100355326","display_name":"Yong Li","orcid":"https://orcid.org/0000-0001-9939-094X"},"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":"Yong Li","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045342512","display_name":"Wenrui Dai","orcid":"https://orcid.org/0000-0003-2522-5778"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenrui Dai","raw_affiliation_strings":["Department of Biomedical Informatics, University of California, San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, University of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016006337","display_name":"Junni Zou","orcid":"https://orcid.org/0000-0002-9694-9880"},"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":"Junni Zou","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002494284","display_name":"Hongkai Xiong","orcid":"https://orcid.org/0000-0003-4552-0029"},"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":"Hongkai Xiong","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038727924","display_name":"Yuan F. Zheng","orcid":"https://orcid.org/0000-0002-3390-4650"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan F. Zheng","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7903,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.93558005,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"65","issue":"19","first_page":"5062","last_page":"5077"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.998199999332428,"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/multilinear-map","display_name":"Multilinear map","score":0.9562121629714966},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.9097213745117188},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7178051471710205},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5743054747581482},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5141704082489014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46353960037231445},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4619247317314148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46084073185920715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4544239342212677},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4452732503414154},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4164767861366272},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39752379059791565},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1905224621295929},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.05968037247657776}],"concepts":[{"id":"https://openalex.org/C84392682","wikidata":"https://www.wikidata.org/wiki/Q1952404","display_name":"Multilinear map","level":2,"score":0.9562121629714966},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.9097213745117188},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7178051471710205},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5743054747581482},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5141704082489014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46353960037231445},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4619247317314148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46084073185920715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4544239342212677},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4452732503414154},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4164767861366272},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39752379059791565},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1905224621295929},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.05968037247657776},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2017.2721905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.2721905","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2463969027","display_name":null,"funder_award_id":"61425011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3464654857","display_name":null,"funder_award_id":"61529101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G390691448","display_name":null,"funder_award_id":"61472234","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3974455395","display_name":null,"funder_award_id":"61501294","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4293875619","display_name":null,"funder_award_id":"61622112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4969694544","display_name":null,"funder_award_id":"17XD1401900","funder_id":"https://openalex.org/F4320335796","funder_display_name":"Program of Shanghai Academic Research Leader"},{"id":"https://openalex.org/G7561187122","display_name":null,"funder_award_id":"2015M581617","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335796","display_name":"Program of Shanghai Academic Research Leader","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1964921104","https://openalex.org/W1992633833","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W1999037361","https://openalex.org/W2003217181","https://openalex.org/W2013912476","https://openalex.org/W2032693829","https://openalex.org/W2036926179","https://openalex.org/W2048050794","https://openalex.org/W2049973790","https://openalex.org/W2055796721","https://openalex.org/W2067743803","https://openalex.org/W2083042020","https://openalex.org/W2090270274","https://openalex.org/W2097018403","https://openalex.org/W2100875869","https://openalex.org/W2105240317","https://openalex.org/W2109981937","https://openalex.org/W2115755118","https://openalex.org/W2125680629","https://openalex.org/W2129638195","https://openalex.org/W2129812935","https://openalex.org/W2131335073","https://openalex.org/W2135780853","https://openalex.org/W2136559714","https://openalex.org/W2141200867","https://openalex.org/W2143168132","https://openalex.org/W2145096794","https://openalex.org/W2147276092","https://openalex.org/W2153663612","https://openalex.org/W2157784146","https://openalex.org/W2159092888","https://openalex.org/W2163112044","https://openalex.org/W2296616510","https://openalex.org/W2536599074","https://openalex.org/W2543013670","https://openalex.org/W2611015177","https://openalex.org/W2620300926","https://openalex.org/W3099453716","https://openalex.org/W3125735862","https://openalex.org/W4250955649","https://openalex.org/W6674642818","https://openalex.org/W6679591791","https://openalex.org/W6683373869","https://openalex.org/W6738998801","https://openalex.org/W7008603791"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W4294291164","https://openalex.org/W3172436493","https://openalex.org/W1887135636","https://openalex.org/W4287164812","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849"],"abstract_inverted_index":{"The":[0,65],"standard":[1],"compressive":[2,101],"sensing":[3],"(CS)":[4],"theory":[5],"can":[6],"be":[7],"improved":[8],"for":[9,42,61,79,100,106,137,157,169],"robust":[10],"recovery":[11,160],"with":[12,39,90,131],"fewer":[13,153],"measurements":[14],"under":[15],"the":[16,28,74,80,84,110,114,149,166],"assumption":[17],"that":[18,165],"signals":[19,53,89,118],"lie":[20],"on":[21,83],"a":[22,47,55,128,158],"union":[23,56],"of":[24,36,57,116,142,155],"subspaces":[25,59,81],"(UoS).":[26],"However,":[27],"UoS":[29],"model":[30,49,68,130,151,168],"is":[31,119,135,172],"restricted":[32],"to":[33,72,139,147],"specific":[34],"types":[35],"signal":[37],"regularities":[38],"predetermined":[40],"topology":[41],"subspaces.":[43],"This":[44],"paper":[45],"proposes":[46],"generalized":[48,129],"which":[50,112],"adaptively":[51,120],"decomposes":[52],"into":[54],"data-driven":[58],"(UoDS)":[60],"structured":[62],"sparse":[63],"representation.":[64],"proposed":[66,167],"UoDS":[67,150],"leverages":[69],"subspace":[70,98,124,133],"clustering":[71],"derive":[73],"optimal":[75],"structures":[76],"and":[77,96,174],"bases":[78],"conditioned":[82],"sample":[85,117],"signals.":[86,144],"For":[87],"multidimensional":[88],"various":[91],"statistics,":[92],"it":[93],"supports":[94],"linear":[95,123],"multilinear":[97,132],"learning":[99,125,134],"sampling.":[102],"As":[103],"an":[104],"improvement":[105],"generic":[107],"CS":[108,138],"model,":[109],"basis":[111],"represents":[113],"sparsity":[115],"generated":[121],"via":[122],"method.":[126],"Furthermore,":[127],"considered":[136],"avoid":[140],"vectorization":[141],"high-dimensional":[143],"In":[145],"comparison":[146],"UoS,":[148],"requires":[152],"degrees":[154],"freedom":[156],"desirable":[159],"quality.":[161],"Experimental":[162],"results":[163],"demonstrate":[164],"video":[170],"sampling":[171],"promising":[173],"applicable.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}