{"id":"https://openalex.org/W4320057831","doi":"https://doi.org/10.1109/gem56474.2022.10017522","title":"On the Use of a Semantic Segmentation Micro-Service in AR Devices for UI Placement","display_name":"On the Use of a Semantic Segmentation Micro-Service in AR Devices for UI Placement","publication_year":2022,"publication_date":"2022-11-27","ids":{"openalex":"https://openalex.org/W4320057831","doi":"https://doi.org/10.1109/gem56474.2022.10017522"},"language":"en","primary_location":{"id":"doi:10.1109/gem56474.2022.10017522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gem56474.2022.10017522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Games, Entertainment, Media Conference (GEM)","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/A5100390896","display_name":"Liang Yuan","orcid":"https://orcid.org/0000-0002-7068-8766"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Yuan Liang","raw_affiliation_strings":["School of Computer Science, University College Dublin,Dublin,Ireland","School of Computer Science, University College Dublin, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin,Dublin,Ireland","institution_ids":["https://openalex.org/I100930933"]},{"raw_affiliation_string":"School of Computer Science, University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083808853","display_name":"Zixiang Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Zixiang Xu","raw_affiliation_strings":["School of Computer Science, University College Dublin,Dublin,Ireland","School of Computer Science, University College Dublin, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin,Dublin,Ireland","institution_ids":["https://openalex.org/I100930933"]},{"raw_affiliation_string":"School of Computer Science, University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029028082","display_name":"Sanaz Rasti","orcid":"https://orcid.org/0000-0001-5488-6116"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Sanaz Rasti","raw_affiliation_strings":["School of Computer Science, University College Dublin,Dublin,Ireland","School of Computer Science, University College Dublin, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin,Dublin,Ireland","institution_ids":["https://openalex.org/I100930933"]},{"raw_affiliation_string":"School of Computer Science, University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011772990","display_name":"Soumyabrata Dev","orcid":"https://orcid.org/0000-0002-0153-1095"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Soumyabrata Dev","raw_affiliation_strings":["School of Computer Science, University College Dublin,Dublin,Ireland","School of Computer Science, University College Dublin, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin,Dublin,Ireland","institution_ids":["https://openalex.org/I100930933"]},{"raw_affiliation_string":"School of Computer Science, University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081241666","display_name":"Abraham G. Campbell","orcid":"https://orcid.org/0000-0001-6702-9148"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Abraham G. Campbell","raw_affiliation_strings":["School of Computer Science, University College Dublin,Dublin,Ireland","School of Computer Science, University College Dublin, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin,Dublin,Ireland","institution_ids":["https://openalex.org/I100930933"]},{"raw_affiliation_string":"School of Computer Science, University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3046,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56582281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","score":0.998199999332428,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.992900013923645,"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":0.9927999973297119,"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":0.8190624713897705},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.7297788262367249},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6835358142852783},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.562021791934967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5234826803207397},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4933909475803375},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.49173715710639954},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4745508134365082},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45334741473197937},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43423986434936523}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8190624713897705},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.7297788262367249},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6835358142852783},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.562021791934967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5234826803207397},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4933909475803375},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.49173715710639954},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4745508134365082},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45334741473197937},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43423986434936523},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gem56474.2022.10017522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gem56474.2022.10017522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Games, Entertainment, Media Conference (GEM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1559398413","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1999110472","https://openalex.org/W2010315761","https://openalex.org/W2080575740","https://openalex.org/W2133003941","https://openalex.org/W2133059825","https://openalex.org/W2162026114","https://openalex.org/W2798122215","https://openalex.org/W2944037117","https://openalex.org/W2962943321","https://openalex.org/W2967536986","https://openalex.org/W2979582818","https://openalex.org/W2999813279","https://openalex.org/W3007946940","https://openalex.org/W3036934723","https://openalex.org/W3212770430","https://openalex.org/W4282972765"],"related_works":["https://openalex.org/W2172197285","https://openalex.org/W2991048842","https://openalex.org/W2750280393","https://openalex.org/W2355696739","https://openalex.org/W3158001554","https://openalex.org/W2771909920","https://openalex.org/W2064841972","https://openalex.org/W1990434954","https://openalex.org/W4233285124","https://openalex.org/W2116558157"],"abstract_inverted_index":{"Augmented":[0],"Reality":[1],"(AR)":[2],"technology":[3],"is":[4,50,62,107,210],"now":[5],"increasingly":[6],"applied":[7],"in":[8,84,103,117,226],"various":[9],"fields,":[10],"which":[11,112,198],"can":[12],"bring":[13],"an":[14,94,202],"unprecedented":[15],"immersive":[16],"experience":[17,43],"and":[18,28,36,71,141,209,216],"rich":[19],"interaction":[20],"to":[21,46,53,79,114,175],"the":[22,41,55,65,100,104,118,150,157,195],"application":[23],"field.":[24],"However,":[25],"complex":[26],"interactions":[27],"informative":[29],"interfaces":[30,189],"impose":[31],"a":[32,87,180],"long":[33],"learning":[34,70,127],"curve":[35],"burden":[37],"on":[38,177],"users.":[39],"Making":[40],"AR":[42,85,119,164,187,208,214,230],"more":[44],"intelligent":[45],"reduce":[47],"redundant":[48],"operations":[49],"one":[51],"solution":[52,222],"enhance":[54],"user":[56,105,188],"experience.":[57],"One":[58],"potential":[59,224],"research":[60,206],"direction":[61],"seamlessly":[63],"combining":[64],"two":[66],"fields":[67],"of":[68,99,131,205,229],"machine":[69,126],"AR.":[72],"This":[73,183],"paper":[74],"proposes":[75],"using":[76,86,169],"semantic":[77,110,136],"segmentation":[78,137],"assist":[80],"automatic":[81,165],"information":[82,116,166],"placement":[83,167],"case":[88],"study":[89],"within":[90,194,207],"precision":[91],"agriculture":[92],"as":[93],"example.":[95],"The":[96,122,146],"precise":[97],"location":[98],"crop":[101],"area":[102,204],"view":[106],"determined":[108],"by":[109],"segmentation,":[111],"helps":[113],"place":[115],"environment":[120],"automatically.":[121],"dataset":[123],"used":[124],"for":[125,212],"model":[128],"construction":[129],"consists":[130],"242":[132],"farmland":[133],"images.":[134],"Four":[135],"techniques":[138],"are":[139],"proposed":[140],"bench-marked":[142],"against":[143],"each":[144],"other.":[145],"results":[147],"show":[148],"that":[149],"Attention":[151,170],"U-Net":[152,171],"deep":[153],"neural":[154],"network":[155],"has":[156,172,200,223],"highest":[158],"recognition":[159],"accuracy,":[160],"reaching":[161],"91.9%.":[162],"An":[163],"prototype":[168],"been":[173,201],"developed":[174],"run":[176],"tablets":[178],"utilising":[179],"micro-service":[181],"approach.":[182],"work":[184],"demonstrates":[185],"how":[186],"could":[190],"be":[191],"placed":[192],"correctly":[193],"real":[196],"world,":[197],"traditionally":[199],"understudied":[203],"essential":[211],"future":[213],"games":[215],"Enterprise":[217],"applications.":[218],"As":[219],"such,":[220],"this":[221],"usage":[225],"all":[227],"areas":[228],"application.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}