{"id":"https://openalex.org/W2772203151","doi":"https://doi.org/10.1109/wcsp.2017.8171062","title":"Distributed compressive video sensing with adaptive measurements based on temporal correlativity","display_name":"Distributed compressive video sensing with adaptive measurements based on temporal correlativity","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2772203151","doi":"https://doi.org/10.1109/wcsp.2017.8171062","mag":"2772203151"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2017.8171062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2017.8171062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5100397725","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0003-0608-9408"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["School of Communications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing, China","School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076984228","display_name":"Dengyin Zhang","orcid":"https://orcid.org/0000-0001-6080-6151"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengyin Zhang","raw_affiliation_strings":["School of Internet of Things Nanjing University of Posts and Telecommunications Nanjing, China","Nanjing University of Posts and Telecommunications, Nanjing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Internet of Things Nanjing University of Posts and Telecommunications Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, CN","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045995739","display_name":"Fei Ding","orcid":"https://orcid.org/0000-0002-8935-8169"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Ding","raw_affiliation_strings":["School of Internet of Things Nanjing University of Posts and Telecommunications Nanjing, China","School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Internet of Things Nanjing University of Posts and Telecommunications Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9962000250816345,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9940999746322632,"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/key-frame","display_name":"Key frame","score":0.7565383315086365},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7343587875366211},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.7139394283294678},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6226047873497009},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6171566843986511},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5511358976364136},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5433079600334167},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5006105899810791},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.48743489384651184},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4674720764160156},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.435926616191864},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4274364113807678},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3452611565589905},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12831279635429382},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0946243405342102},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09080177545547485}],"concepts":[{"id":"https://openalex.org/C2780139006","wikidata":"https://www.wikidata.org/wiki/Q1493902","display_name":"Key frame","level":3,"score":0.7565383315086365},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7343587875366211},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.7139394283294678},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6226047873497009},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6171566843986511},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5511358976364136},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5433079600334167},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5006105899810791},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.48743489384651184},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4674720764160156},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.435926616191864},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4274364113807678},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3452611565589905},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12831279635429382},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0946243405342102},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09080177545547485},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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":1,"locations":[{"id":"doi:10.1109/wcsp.2017.8171062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2017.8171062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W812458685","https://openalex.org/W1583589866","https://openalex.org/W2088214533","https://openalex.org/W2090982273","https://openalex.org/W2096854583","https://openalex.org/W2099213070","https://openalex.org/W2118375162","https://openalex.org/W2145096794","https://openalex.org/W2171783193","https://openalex.org/W2375132727","https://openalex.org/W3151975480","https://openalex.org/W6635032797","https://openalex.org/W6668902313","https://openalex.org/W6981163633","https://openalex.org/W7000947222"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2560215812","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W2465351041"],"abstract_inverted_index":{"For":[0],"most":[1],"of":[2,25,55,65,68,74,82,91,128,166],"those":[3],"existing":[4],"Distributed":[5],"Compressive":[6],"Video":[7],"Sensing":[8],"system,":[9],"the":[10,22,46,63,66,75,79,89,97,106,116,126,135,141,154,159],"same":[11],"measurement":[12,53,80,118,129,143],"rate":[13,54,81,119,144],"is":[14,42,59,85,94,131,149],"utilized":[15],"for":[16,163],"all":[17],"non-key":[18,50,57,70],"frames,":[19],"which":[20,93,157],"ignores":[21],"temporal":[23,47],"correlativity":[24,48],"frames":[26],"and":[27],"leads":[28],"to":[29,45,62,72,88,115],"an":[30,38],"inferior":[31],"reconstruction":[32,112],"quality.":[33],"To":[34],"address":[35],"this":[36],"issue,":[37],"adaptive":[39],"measurements":[40],"algorithm":[41,108,161],"proposed":[43,107,155,160],"according":[44,61,87],"between":[49],"frames.":[51],"The":[52,101,121],"each":[56,69,83],"frame":[58,71],"allocated":[60],"ratio":[64],"information":[67],"that":[73,105],"pictures":[76],"group.":[77],"Then,":[78],"block":[84],"calculated":[86],"mode":[90],"blocks,":[92],"discriminated":[95],"by":[96,125,140],"inter-frame":[98],"residual":[99],"variance.":[100],"experiment":[102],"results":[103],"show":[104],"can":[109],"provide":[110],"better":[111],"quality":[113],"compared":[114],"fixed":[117],"algorithm.":[120,145],"energy":[122,137],"saving":[123],"caused":[124,139],"reduction":[127],"times":[130],"far":[132],"more":[133],"than":[134],"additional":[136],"consumption":[138],"dynamic":[142],"In":[146],"addition,":[147],"there":[148],"no":[150],"feedback":[151],"channel":[152],"in":[153],"algorithm,":[156],"makes":[158],"suitable":[162],"video":[164],"system":[165],"emergency":[167],"service.":[168]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
