{"id":"https://openalex.org/W4293730562","doi":"https://doi.org/10.1155/2022/8545345","title":"Feature Extraction Method of Art Visual Communication Image Based on 5G Intelligent Sensor Network","display_name":"Feature Extraction Method of Art Visual Communication Image Based on 5G Intelligent Sensor Network","publication_year":2022,"publication_date":"2022-08-29","ids":{"openalex":"https://openalex.org/W4293730562","doi":"https://doi.org/10.1155/2022/8545345"},"language":"en","primary_location":{"id":"doi:10.1155/2022/8545345","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2022/8545345","pdf_url":"https://downloads.hindawi.com/journals/js/2022/8545345.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/js/2022/8545345.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006096206","display_name":"Weimin Liang","orcid":"https://orcid.org/0000-0003-3449-649X"},"institutions":[{"id":"https://openalex.org/I3133090473","display_name":"Weinan Normal University","ror":"https://ror.org/00n2kc060","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133090473"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weimin Liang","raw_affiliation_strings":["School of Fine Arts, Weinan Normal University, Weinan, Shaanxi 714099, China"],"raw_orcid":"https://orcid.org/0000-0003-3449-649X","affiliations":[{"raw_affiliation_string":"School of Fine Arts, Weinan Normal University, Weinan, Shaanxi 714099, China","institution_ids":["https://openalex.org/I3133090473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5006096206"],"corresponding_institution_ids":["https://openalex.org/I3133090473"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.7298,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78840267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14254","display_name":"Digital Media and Visual Art","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14254","display_name":"Digital Media and Visual Art","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9484000205993652,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9453999996185303,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7486393451690674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5804612040519714},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5537207126617432},{"id":"https://openalex.org/keywords/visual-sensor-network","display_name":"Visual sensor network","score":0.5015268325805664},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4787016212940216},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4543054699897766},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44206884503364563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42835718393325806},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.42550593614578247},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42389488220214844},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3569469451904297},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.32600903511047363},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.2735084295272827},{"id":"https://openalex.org/keywords/key-distribution-in-wireless-sensor-networks","display_name":"Key distribution in wireless sensor networks","score":0.2398664653301239},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09870409965515137}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7486393451690674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5804612040519714},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5537207126617432},{"id":"https://openalex.org/C149102469","wikidata":"https://www.wikidata.org/wiki/Q7936624","display_name":"Visual sensor network","level":5,"score":0.5015268325805664},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4787016212940216},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4543054699897766},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44206884503364563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42835718393325806},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42550593614578247},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42389488220214844},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3569469451904297},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.32600903511047363},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.2735084295272827},{"id":"https://openalex.org/C41971633","wikidata":"https://www.wikidata.org/wiki/Q6398155","display_name":"Key distribution in wireless sensor networks","level":4,"score":0.2398664653301239},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09870409965515137},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2022/8545345","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2022/8545345","pdf_url":"https://downloads.hindawi.com/journals/js/2022/8545345.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e8df055fc8484b30bf72f21b59271040","is_oa":false,"landing_page_url":"https://doaj.org/article/e8df055fc8484b30bf72f21b59271040","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Sensors, Vol 2022 (2022)","raw_type":"article"},{"id":"pmh:oai:hindawi.com:10.1155/2022/8545345","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/8545345","pdf_url":null,"source":{"id":"https://openalex.org/S4306400340","display_name":"Hindawi Journal of Chemistry (Hindawi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210126990","host_organization_name":"Hindawi (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210126990"],"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":"","raw_type":"Research Article"}],"best_oa_location":{"id":"doi:10.1155/2022/8545345","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2022/8545345","pdf_url":"https://downloads.hindawi.com/journals/js/2022/8545345.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320325443","display_name":"Weinan Normal University","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293730562.pdf","grobid_xml":"https://content.openalex.org/works/W4293730562.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W2027586325","https://openalex.org/W2124706543","https://openalex.org/W2132227696","https://openalex.org/W2168809519","https://openalex.org/W2648242067","https://openalex.org/W2774317241","https://openalex.org/W2783753704","https://openalex.org/W2794680924","https://openalex.org/W2801218770","https://openalex.org/W2804156429","https://openalex.org/W2804922349","https://openalex.org/W2890182740","https://openalex.org/W2894300437","https://openalex.org/W2905216489","https://openalex.org/W2905628412","https://openalex.org/W2910179937","https://openalex.org/W2915476573","https://openalex.org/W2919235374","https://openalex.org/W2927933146","https://openalex.org/W2933652341","https://openalex.org/W2963302706","https://openalex.org/W2975846503","https://openalex.org/W2987157472","https://openalex.org/W3003651800","https://openalex.org/W3041991648","https://openalex.org/W3116478815","https://openalex.org/W3156920854","https://openalex.org/W3202361325"],"related_works":["https://openalex.org/W2181667145","https://openalex.org/W917005982","https://openalex.org/W3148968234","https://openalex.org/W2568024380","https://openalex.org/W1911231336","https://openalex.org/W2110892966","https://openalex.org/W2295628284","https://openalex.org/W2151077238","https://openalex.org/W3168843827","https://openalex.org/W1657620843"],"abstract_inverted_index":{"5G":[0,40],"intelligent":[1],"sensor":[2,42,52,69],"network":[3,43,58,104,113,121,313,326,353],"technology":[4,20,24,27],"realizes":[5],"the":[6,15,34,51,72,102,111,119,128,148,152,159,171,193,195,204,212,217,220,227,234,243,249,259,268,278,287,290,296,301,321,325,334,339,352,358,362,366,371,377],"perception,":[7],"processing,":[8],"and":[9,25,28,54,76,115,143,166,176,189,232,273,280,299,369],"transmission":[10],"of":[11,18,33,36,65,74,161,206,214,216,222,237,251,261,292,320,361],"information.":[12,191],"It":[13],"forms":[14],"three":[16],"pillars":[17],"information":[19,276],"together":[21],"with":[22],"computer":[23],"communication":[26,47,57,136,187,240,271],"is":[29,44,59,107,156,181,199,264,314],"an":[30],"important":[31],"part":[32],"Internet":[35],"Things":[37],"technology.":[38],"The":[39,254,316,348],"smart":[41],"a":[45,55,62,82,133,178,307],"wireless":[46,56],"module":[48,323],"added":[49],"to":[50,118,123,126,169,183,201,210,330,356],"nodes,":[53],"formed":[60],"by":[61,351,376],"large":[63],"number":[64,291],"stationary":[66],"or":[67],"movable":[68],"nodes":[70],"in":[71,173,226,295,324,365],"form":[73],"self-organization":[75],"multihop":[77],"transmission.":[78],"This":[79,99,130],"paper":[80,131],"proposes":[81,132],"keypoint":[83,94],"feature":[84,336],"extraction":[85,142],"method":[86,100,198],"based":[87,109,139],"on":[88,110,140,158,289,338],"deep":[89,309,335],"learning,":[90],"which":[91,106,283],"can":[92,284,344],"extract":[93,184],"local":[95],"features":[96,349],"for":[97],"matching.":[98],"uses":[101],"convolutional":[103,311],"structure,":[105],"pretrained":[108],"Siamese":[112],"structure":[114,122,275],"then":[116],"adjusted":[117],"ternary":[120],"continue":[124],"training":[125],"improve":[127,300],"accuracy.":[129],"high-art":[134,238],"visual":[135,186,239,270],"image":[137,272],"classification":[138,144,235,244,302],"multifeature":[141,179],"decision":[145],"fusion.":[146],"In":[147,192,304],"data":[149,208,230],"preprocessing":[150],"stage,":[151],"correlation":[153],"alignment":[154],"algorithm":[155],"performed":[157],"datasets":[160],"different":[162],"domains":[163],"(source":[164],"domain":[165,229,298,368],"target":[167,228,281,297],"domain)":[168],"reduce":[170,211,286],"difference":[172],"spatial":[174,190,274,341],"distribution,":[175],"then,":[177],"extractor":[180],"designed":[182],"artistic":[185,269],"images":[188],"process,":[194],"multitask":[196],"learning":[197],"introduced":[200],"jointly":[202],"train":[203],"networks":[205],"multiple":[207,317],"sets":[209],"degree":[213],"overfitting":[215],"model,":[218],"solve":[219],"problem":[221,374],"insufficient":[223],"labeled":[224,293,363],"samples":[225,294,364],"set,":[231],"affect":[233],"accuracy":[236],"images.":[241],"Finally,":[242],"results":[245,256],"are":[246,354],"obtained":[247],"through":[248],"fusion":[250],"voting":[252],"decisions.":[253],"experimental":[255],"show":[257],"that":[258,265,333],"advantage":[260],"this":[262,305],"framework":[263],"it":[266],"utilizes":[267],"from":[277],"source":[279,367],"scenes,":[282],"significantly":[285],"dependence":[288],"performance.":[303],"paper,":[306],"dual-channel":[308],"residual":[310,322],"neural":[312],"designed.":[315],"convolution":[318],"layers":[319],"use":[327],"hard":[328],"parameters":[329],"share,":[331],"so":[332],"representation":[337],"joint":[340],"spectrum":[342],"dimension":[343],"be":[345],"automatically":[346],"extracted.":[347],"extracted":[350],"transferred":[355],"maximize":[357],"auxiliary":[359],"role":[360],"avoid":[370],"negative":[372],"transfer":[373,379],"caused":[375],"forced":[378],"between":[380],"irrelevant":[381],"samples.":[382]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}