{"id":"https://openalex.org/W4226420586","doi":"https://doi.org/10.1145/3511176.3511203","title":"Multi-rate Video Compressive Sensing for Fixed Scene Measurement","display_name":"Multi-rate Video Compressive Sensing for Fixed Scene Measurement","publication_year":2021,"publication_date":"2021-12-22","ids":{"openalex":"https://openalex.org/W4226420586","doi":"https://doi.org/10.1145/3511176.3511203"},"language":"en","primary_location":{"id":"doi:10.1145/3511176.3511203","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511176.3511203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 5th International Conference on Video and Image Processing","raw_type":"proceedings-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/A5102816808","display_name":"Jiang Du","orcid":"https://orcid.org/0000-0002-3163-8846"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiang Du","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458706","display_name":"Xuemei Xie","orcid":"https://orcid.org/0000-0001-7857-0845"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemei Xie","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101549504","display_name":"Guangming Shi","orcid":"https://orcid.org/0000-0003-2179-3292"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Shi","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102816808"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.7005,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.669929,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"177","last_page":"183"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6595944762229919},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4115239977836609},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.39108818769454956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6595944762229919},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4115239977836609},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.39108818769454956}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511176.3511203","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511176.3511203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 5th International Conference on Video and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3993659040","display_name":null,"funder_award_id":"2020AAA0109301","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W2104266187","https://openalex.org/W2129131372","https://openalex.org/W2219727625","https://openalex.org/W2273561594","https://openalex.org/W2590877996","https://openalex.org/W2739757502","https://openalex.org/W2762145983","https://openalex.org/W2787249689","https://openalex.org/W2945384989","https://openalex.org/W2952821810","https://openalex.org/W2962895431","https://openalex.org/W2963947725","https://openalex.org/W2964082260","https://openalex.org/W2964222715","https://openalex.org/W2964251511","https://openalex.org/W2964322393","https://openalex.org/W3102722370","https://openalex.org/W3205778756","https://openalex.org/W3207346178","https://openalex.org/W3207407006","https://openalex.org/W3208848367"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"We":[0],"propose":[1,74],"a":[2,35,60,88],"simple":[3],"and":[4,27,73,85,107,121],"efficient":[5,76],"framework":[6],"for":[7,29,59,128],"video":[8,41,47,154],"compressive":[9],"sensing":[10],"(CS)":[11],"at":[12,87,142,151],"fixed":[13,61,152],"scene.":[14,52,62],"In":[15,63],"recent":[16],"years,":[17],"deep":[18],"learning":[19],"has":[20],"been":[21],"widely":[22],"used":[23],"in":[24,37,55],"reconstructing":[25],"images":[26],"videos":[28,144],"CS.":[30],"Although":[31],"they":[32],"have":[33,132],"made":[34],"difference":[36],"reconstruction":[38,86,120,143],"quality,":[39],"current":[40],"CS":[42,54],"research":[43],"deals":[44],"with":[45,82,145],"universal":[46],"dataset,":[48],"regardless":[49],"of":[50,71,104],"real":[51],"However,":[53],"reality":[56],"mainly":[57],"serve":[58],"this":[64,69],"paper,":[65],"we":[66,92,115],"focus":[67],"on":[68],"kind":[70],"situation":[72],"an":[75,95],"method":[77,136],"to":[78,100,112,125],"sense":[79],"the":[80,102,117,129],"scene":[81,153],"few":[83],"measurements":[84,111],"high":[89],"quality.":[90],"Technically,":[91],"firstly":[93],"employ":[94],"extremely":[96],"low":[97],"measurement":[98,149],"rate":[99,150],"determine":[101],"region":[103],"interest":[105],"(ROI)":[106],"then":[108],"apply":[109],"more":[110],"ROI.":[113],"Then,":[114],"combine":[116],"ROI":[118],"area":[119],"use":[122],"temporal":[123],"information":[124],"make":[126],"up":[127],"background.":[130],"Experiments":[131],"shown":[133],"that":[134],"our":[135],"can":[137],"obtain":[138],"over":[139],"30":[140],"dB":[141],"less":[146],"than":[147],"3%":[148],"dataset.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
