{"id":"https://openalex.org/W4404102530","doi":"https://doi.org/10.1109/access.2024.3492205","title":"Geometry-Based Feature Selection and Deep Aggregation Model for Architectural Scenery Recomposition Toward Education","display_name":"Geometry-Based Feature Selection and Deep Aggregation Model for Architectural Scenery Recomposition Toward Education","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404102530","doi":"https://doi.org/10.1109/access.2024.3492205"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3492205","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3492205","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dx.doi.org/10.1109/access.2024.3492205","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048973653","display_name":"Lingjiao Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I96478251","display_name":"Hunan Institute of Technology","ror":"https://ror.org/04n3k2k71","country_code":"CN","type":"education","lineage":["https://openalex.org/I96478251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingjiao Fan","raw_affiliation_strings":["School of Civil and Architectural Engineering, Hunan Institute of Technology, Hengyang, China","School of Civil and Architectural Engineering, Hunan lnstitute of Technology, Hengyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil and Architectural Engineering, Hunan Institute of Technology, Hengyang, China","institution_ids":["https://openalex.org/I96478251"]},{"raw_affiliation_string":"School of Civil and Architectural Engineering, Hunan lnstitute of Technology, Hengyang, China","institution_ids":["https://openalex.org/I96478251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109655798","display_name":"Shuangyang Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I96478251","display_name":"Hunan Institute of Technology","ror":"https://ror.org/04n3k2k71","country_code":"CN","type":"education","lineage":["https://openalex.org/I96478251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangyang Cai","raw_affiliation_strings":["School of Traffic and Transportation Engineering, Hunan Institute of Traffic Engineering, Hengyang, China","School of Traffic and Transportation Engineering, Hunan lnstitute of TrafficEngineering, Hengyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation Engineering, Hunan Institute of Traffic Engineering, Hengyang, China","institution_ids":["https://openalex.org/I96478251"]},{"raw_affiliation_string":"School of Traffic and Transportation Engineering, Hunan lnstitute of TrafficEngineering, Hengyang, China","institution_ids":["https://openalex.org/I96478251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091302144","display_name":"Chengbo He","orcid":null},"institutions":[{"id":"https://openalex.org/I2801441622","display_name":"China Railway Corporation","ror":"https://ror.org/044wv3489","country_code":"CN","type":"government","lineage":["https://openalex.org/I2801441622","https://openalex.org/I4210122102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengbo He","raw_affiliation_strings":["College of Railway Engineering, Hunan Technical College of Railway High-Speed, Hengyang, China","College of Railway Engineering, Hunan Technical College of Railway High-speed, Hengyang, China"],"raw_orcid":"https://orcid.org/0009-0002-4783-6385","affiliations":[{"raw_affiliation_string":"College of Railway Engineering, Hunan Technical College of Railway High-Speed, Hengyang, China","institution_ids":["https://openalex.org/I2801441622"]},{"raw_affiliation_string":"College of Railway Engineering, Hunan Technical College of Railway High-speed, Hengyang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101781872","display_name":"Xinlong Li","orcid":"https://orcid.org/0009-0000-4607-3641"},"institutions":[{"id":"https://openalex.org/I96478251","display_name":"Hunan Institute of Technology","ror":"https://ror.org/04n3k2k71","country_code":"CN","type":"education","lineage":["https://openalex.org/I96478251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinlong Li","raw_affiliation_strings":["School of Computer Science and Engineering, Hunan Institute of Technology, Hengyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Hunan Institute of Technology, Hengyang, China","institution_ids":["https://openalex.org/I96478251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009273112","display_name":"Lixiao Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I96478251","display_name":"Hunan Institute of Technology","ror":"https://ror.org/04n3k2k71","country_code":"CN","type":"education","lineage":["https://openalex.org/I96478251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixiao Zheng","raw_affiliation_strings":["School of Civil and Architectural Engineering, Hunan Institute of Technology, Hengyang, China","School of Civil and Architectural Engineering, Hunan lnstitute of Technology, Hengyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil and Architectural Engineering, Hunan Institute of Technology, Hengyang, China","institution_ids":["https://openalex.org/I96478251"]},{"raw_affiliation_string":"School of Civil and Architectural Engineering, Hunan lnstitute of Technology, Hengyang, China","institution_ids":["https://openalex.org/I96478251"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38105698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"163724","last_page":"163738"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14254","display_name":"Digital Media and Visual Art","score":0.5065000057220459,"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":0.5065000057220459,"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/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.4758000075817108,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T14155","display_name":"Advanced Technology in Applications","score":0.44679999351501465,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.6604076623916626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5692437887191772},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5638773441314697},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5528374910354614},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4300185739994049},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.42764461040496826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.329932302236557},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19064202904701233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6604076623916626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5692437887191772},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5638773441314697},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5528374910354614},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4300185739994049},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.42764461040496826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.329932302236557},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19064202904701233},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3492205","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3492205","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9e865070baff4737a9f06a290fc5e77b","is_oa":true,"landing_page_url":"https://doaj.org/article/9e865070baff4737a9f06a290fc5e77b","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":"IEEE Access, Vol 12, Pp 163724-163738 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3492205","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3492205","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W76974083","https://openalex.org/W1965766334","https://openalex.org/W1972735298","https://openalex.org/W2010181071","https://openalex.org/W2010632104","https://openalex.org/W2023081159","https://openalex.org/W2030031014","https://openalex.org/W2055307271","https://openalex.org/W2059925611","https://openalex.org/W2071309849","https://openalex.org/W2080008265","https://openalex.org/W2080308120","https://openalex.org/W2084260365","https://openalex.org/W2102605133","https://openalex.org/W2103666701","https://openalex.org/W2108598243","https://openalex.org/W2109255472","https://openalex.org/W2109751703","https://openalex.org/W2117513046","https://openalex.org/W2126185804","https://openalex.org/W2132610780","https://openalex.org/W2136637876","https://openalex.org/W2140262997","https://openalex.org/W2147414309","https://openalex.org/W2153096898","https://openalex.org/W2155175457","https://openalex.org/W2166554908","https://openalex.org/W2191616647","https://openalex.org/W2194775991","https://openalex.org/W2342880667","https://openalex.org/W2467531333","https://openalex.org/W2780534582","https://openalex.org/W2890795004","https://openalex.org/W2917187459","https://openalex.org/W2932399282","https://openalex.org/W2960964942","https://openalex.org/W2969235880","https://openalex.org/W2997421813","https://openalex.org/W3014606712","https://openalex.org/W3048631361","https://openalex.org/W3128592650","https://openalex.org/W3132186014","https://openalex.org/W3136413417","https://openalex.org/W3137241515","https://openalex.org/W3170220755","https://openalex.org/W3210340326","https://openalex.org/W4207034821","https://openalex.org/W4386065742","https://openalex.org/W4388757349","https://openalex.org/W4390872294","https://openalex.org/W6679792166","https://openalex.org/W6684191040","https://openalex.org/W6754379148","https://openalex.org/W6803955790","https://openalex.org/W6851696756","https://openalex.org/W6853185183","https://openalex.org/W6853751648"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W3147584709","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2322875716","https://openalex.org/W2977677679","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"In":[0],"our":[1,51],"study,":[2],"we":[3,71,146,195,200],"focus":[4,139],"on":[5,140],"the":[6,10,48,76,88,119,174,183,197,234],"challenge":[7],"of":[8,14,50,92,177],"reworking":[9],"important":[11,90,141],"visual":[12,30,120],"elements":[13],"complex":[15,38],"architectural":[16,33,93,114,144,178,235,257],"scenes,":[17,145],"which":[18,35,80,231],"is":[19,26,53,169],"crucial":[20],"for":[21,207,237,255],"AI-based":[22],"education.":[23],"Our":[24,240],"goal":[25],"to":[27,59,192],"blend":[28],"different":[29,109],"features":[31,214,221],"from":[32,122],"images,":[34],"often":[36],"have":[37],"spatial":[39],"designs,":[40],"in":[41,143,259],"a":[42,54,73,126,148,161,166,202,216,226],"smooth":[43],"and":[44,66,84,111,210,251],"adaptable":[45],"way.":[46],"At":[47],"core":[49],"method":[52,127],"deep":[55,217],"learning":[56,152],"model":[57,229],"designed":[58],"closely":[60],"mimic":[61,135,159],"how":[62,136,160],"human":[63],"eyes":[64],"move":[65],"focus.":[67],"To":[68,133],"do":[69],"this,":[70],"use":[72],"tool":[74],"called":[75,150],"BING":[77],"objectness":[78],"metric,":[79],"helps":[81,232],"us":[82],"quickly":[83],"accurately":[85],"pick":[86],"out":[87],"most":[89,184],"parts":[91,107],"images.":[94],"These":[95,220],"key":[96,213],"parts,":[97],"or":[98,105],"patches,":[99],"are":[100,222],"identified":[101],"by":[102],"detecting":[103],"objects":[104],"their":[106],"at":[108,172],"sizes":[110],"within":[112],"various":[113],"settings.":[115,261],"We":[116],"then":[117,223],"combine":[118],"details":[121,176],"these":[123],"patches":[124,186],"using":[125,215],"that":[128,158,187],"brings":[129],"together":[130],"multiple":[131],"perspectives.":[132],"better":[134],"humans":[137,190],"naturally":[138],"areas":[142],"introduce":[147],"technique":[149],"locality-preserved":[151],"(LRAL).":[153],"This":[154],"approach":[155,241],"creates":[156],"paths":[157],"person\u0105\u0155s":[162],"gaze":[163,203],"moves":[164],"across":[165],"scene.":[167],"LRAL":[168,198],"especially":[170],"good":[171],"keeping":[173],"local":[175],"scenes":[179,236],"intact":[180],"while":[181],"selecting":[182],"representative":[185],"match":[188],"where":[189],"tend":[191],"look.":[193],"As":[194],"apply":[196],"process,":[199],"create":[201],"shift":[204],"path":[205],"(GSP)":[206],"each":[208],"scene":[209],"calculate":[211],"its":[212,249],"aggregation":[218],"model.":[219],"fed":[224],"into":[225],"Gaussian":[227],"mixture":[228],"(GMM),":[230],"retarget":[233],"educational":[238,260],"purposes.":[239],"has":[242],"been":[243],"tested":[244],"through":[245],"detailed":[246],"analysis,":[247],"demonstrating":[248],"effectiveness":[250],"offering":[252],"clear":[253],"benefits":[254],"displaying":[256],"content":[258]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
