{"id":"https://openalex.org/W3198506961","doi":"https://doi.org/10.3390/e23091184","title":"Adaptive Block-Based Compressed Video Sensing Based on Saliency Detection and Side Information","display_name":"Adaptive Block-Based Compressed Video Sensing Based on Saliency Detection and Side Information","publication_year":2021,"publication_date":"2021-09-08","ids":{"openalex":"https://openalex.org/W3198506961","doi":"https://doi.org/10.3390/e23091184","mag":"3198506961","pmid":"https://pubmed.ncbi.nlm.nih.gov/34573809"},"language":"en","primary_location":{"id":"doi:10.3390/e23091184","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23091184","pdf_url":"https://www.mdpi.com/1099-4300/23/9/1184/pdf?version=1631280310","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/23/9/1184/pdf?version=1631280310","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087380709","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-2129-4736"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming 650000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming 650000, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100707504","display_name":"Jianming Wang","orcid":"https://orcid.org/0000-0002-6235-1362"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianming Wang","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming 650000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming 650000, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100385443","display_name":"Jianhua Chen","orcid":"https://orcid.org/0000-0002-3637-2565"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianhua Chen","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming 650000, China"],"raw_orcid":"https://orcid.org/0000-0002-3637-2565","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming 650000, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100385443"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":1.3681,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77020658,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"23","issue":"9","first_page":"1184","last_page":"1184"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9973000288009644,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9945999979972839,"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/block","display_name":"Block (permutation group theory)","score":0.7935806512832642},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6719786524772644},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6397892236709595},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5889267921447754},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5532386898994446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5100916028022766},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4891200661659241},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48902449011802673},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3749759793281555},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37101709842681885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33653032779693604},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07580399513244629}],"concepts":[{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7935806512832642},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6719786524772644},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6397892236709595},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5889267921447754},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5532386898994446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5100916028022766},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4891200661659241},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48902449011802673},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3749759793281555},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37101709842681885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33653032779693604},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07580399513244629},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/e23091184","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23091184","pdf_url":"https://www.mdpi.com/1099-4300/23/9/1184/pdf?version=1631280310","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:34573809","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34573809","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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:36862290da124ea99b5dfa49ffa10953","is_oa":true,"landing_page_url":"https://doaj.org/article/36862290da124ea99b5dfa49ffa10953","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 23, Iss 9, p 1184 (2021)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:7358450","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC8470148","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1099-4300/23/9/1184/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e23091184","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 23; Issue 9; Pages: 1184","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8470148","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8470148","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e23091184","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23091184","pdf_url":"https://www.mdpi.com/1099-4300/23/9/1184/pdf?version=1631280310","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3906324933","display_name":"\u57fa\u4e8eContext\u5efa\u6a21\u7684\u57fa\u56e0\u7ec4\u6570\u636e\u538b\u7f29\u7814\u7a76","funder_award_id":"61861045","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3198506961.pdf","grobid_xml":"https://content.openalex.org/works/W3198506961.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1575252957","https://openalex.org/W1578285471","https://openalex.org/W1905052409","https://openalex.org/W1993039222","https://openalex.org/W2099641086","https://openalex.org/W2104266187","https://openalex.org/W2105240317","https://openalex.org/W2109449402","https://openalex.org/W2119667497","https://openalex.org/W2122548617","https://openalex.org/W2128272608","https://openalex.org/W2146103513","https://openalex.org/W2172169111","https://openalex.org/W2324283989","https://openalex.org/W2621651092","https://openalex.org/W2953278525","https://openalex.org/W2979473749","https://openalex.org/W3008898606","https://openalex.org/W3105736347","https://openalex.org/W3112720746","https://openalex.org/W3162382126","https://openalex.org/W6820645939"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W2012905040","https://openalex.org/W2503689422","https://openalex.org/W2537887767"],"abstract_inverted_index":{"The":[0,219],"setting":[1],"of":[2,29,38,58,116,137,159,166,189,216],"the":[3,25,30,34,39,48,56,59,84,90,101,117,123,127,133,143,148,157,160,186,197,213,228,242],"measurement":[4,27,50,92,187],"number":[5,51,188],"for":[6,12,52,104,181],"each":[7,53,105,138,190],"block":[8,54,139,167,182,191,214],"is":[9,113,120,140],"very":[10],"important":[11],"a":[13,108,203,233],"block-based":[14,70],"compressed":[15,71],"sensing":[16,73],"system.":[17],"However,":[18],"in":[19,236],"practical":[20],"applications,":[21],"we":[22,44,66,87,173,201],"only":[23],"have":[24],"initial":[26,91],"results":[28,93,221],"original":[31,40,60],"signal":[32,41],"on":[33,76,122,208],"sampling":[35,244],"side":[36,80,109,125,144],"instead":[37],"itself,":[42],"therefore,":[43],"cannot":[45],"directly":[46],"allocate":[47],"appropriate":[49],"without":[55],"sparsity":[57,158,168,183],"signal.":[61],"To":[62],"solve":[63],"this":[64],"problem,":[65],"propose":[67,202],"an":[68,114],"adaptive":[69],"video":[72],"scheme":[74,230],"based":[75,207],"saliency":[77,96,102,149],"detection":[78,97],"and":[79,98,132,151,178],"information.":[81],"According":[82],"to":[83,94,196],"Johnson-Lindenstrauss":[85],"lemma,":[86],"can":[88,155,174,192,211,231],"use":[89,176],"perform":[95],"then":[99],"obtain":[100],"value":[103,150],"block.":[106,161],"Meanwhile,":[107],"information":[110,145],"frame":[111,119],"which":[112,210],"estimate":[115],"current":[118],"generated":[121],"reconstruction":[124],"by":[126],"proposed":[128,229],"probability":[129],"fusion":[130,198],"model,":[131],"significant":[134,152,234],"coefficient":[135,153],"proportion":[136,154],"estimated":[141],"through":[142],"frame.":[146],"Both":[147],"reflect":[156],"Finally,":[162],"these":[163],"two":[164],"estimates":[165],"are":[169],"fused,":[170],"so":[171],"that":[172],"simultaneously":[175],"intra-frame":[177],"inter-frame":[179],"correlation":[180],"estimation.":[184],"Then":[185],"be":[193],"allocated":[194],"according":[195],"sparsity.":[199],"Besides,":[200],"global":[204],"recovery":[205],"model":[206],"weighting,":[209],"reduce":[212],"effect":[215],"reconstructed":[217],"frames.":[218],"experimental":[220],"show":[222],"that,":[223],"compared":[224],"with":[225],"existing":[226],"schemes,":[227],"achieve":[232],"improvement":[235],"peak":[237],"signal-to-noise":[238],"ratio":[239],"(PSNR)":[240],"at":[241],"same":[243],"rate.":[245]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
