{"id":"https://openalex.org/W4313495772","doi":"https://doi.org/10.1109/scisisis55246.2022.10001857","title":"R2-B2: A Metric of Synthesized Image\u2019s Photorealism by Regression Analysis based on Recognized Objects\u2019 Bounding Box","display_name":"R2-B2: A Metric of Synthesized Image\u2019s Photorealism by Regression Analysis based on Recognized Objects\u2019 Bounding Box","publication_year":2022,"publication_date":"2022-11-29","ids":{"openalex":"https://openalex.org/W4313495772","doi":"https://doi.org/10.1109/scisisis55246.2022.10001857"},"language":"en","primary_location":{"id":"doi:10.1109/scisisis55246.2022.10001857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scisisis55246.2022.10001857","pdf_url":null,"source":{"id":"https://openalex.org/S4363607982","display_name":"2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&amp;ISIS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&amp;ISIS)","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/A5100993536","display_name":"Shun Hattori","orcid":"https://orcid.org/0009-0004-8907-0474"},"institutions":[{"id":"https://openalex.org/I139159150","display_name":"University of Shiga Prefecture","ror":"https://ror.org/02dvjfw95","country_code":"JP","type":"education","lineage":["https://openalex.org/I139159150"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shun Hattori","raw_affiliation_strings":["The University of Shiga Prefecture,Faculty of Advanced Engineering,Hikone-shi,Japan","Faculty of Advanced Engineering, The University of Shiga Prefecture, Hikone-shi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Shiga Prefecture,Faculty of Advanced Engineering,Hikone-shi,Japan","institution_ids":["https://openalex.org/I139159150"]},{"raw_affiliation_string":"Faculty of Advanced Engineering, The University of Shiga Prefecture, Hikone-shi, Japan","institution_ids":["https://openalex.org/I139159150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014634801","display_name":"Kizuku Aiba","orcid":null},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kizuku Aiba","raw_affiliation_strings":["Muroran Institute of Technology,Graduate School of Science and Engineering,Muroran-shi,Japan","Graduate School of Science and Engineering, Muroran Institute of Technology, Muroran-shi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Muroran Institute of Technology,Graduate School of Science and Engineering,Muroran-shi,Japan","institution_ids":["https://openalex.org/I41725924"]},{"raw_affiliation_string":"Graduate School of Science and Engineering, Muroran Institute of Technology, Muroran-shi, Japan","institution_ids":["https://openalex.org/I41725924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080825659","display_name":"Madoka Takahara","orcid":null},"institutions":[{"id":"https://openalex.org/I103390050","display_name":"Ryukoku University","ror":"https://ror.org/012tqgb57","country_code":"JP","type":"education","lineage":["https://openalex.org/I103390050"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Madoka Takahara","raw_affiliation_strings":["Ryukoku University,Faculty of Advanced Science and Technology,Otsu-shi,Japan","Faculty of Advanced Science and Technology, Ryukoku University, Otsu-shi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ryukoku University,Faculty of Advanced Science and Technology,Otsu-shi,Japan","institution_ids":["https://openalex.org/I103390050"]},{"raw_affiliation_string":"Faculty of Advanced Science and Technology, Ryukoku University, Otsu-shi, Japan","institution_ids":["https://openalex.org/I103390050"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2359,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6028253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9975000023841858,"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/T11019","display_name":"Image Enhancement Techniques","score":0.996999979019165,"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/minimum-bounding-box","display_name":"Minimum bounding box","score":0.7719466090202332},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7462946772575378},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6597064733505249},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5756077766418457},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5101759433746338},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.481889545917511},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.44849303364753723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40038183331489563},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3416571617126465},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3119688630104065},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2613677382469177},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12315070629119873},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09945875406265259}],"concepts":[{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.7719466090202332},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7462946772575378},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6597064733505249},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5756077766418457},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5101759433746338},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.481889545917511},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.44849303364753723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40038183331489563},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3416571617126465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3119688630104065},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2613677382469177},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12315070629119873},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09945875406265259},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/scisisis55246.2022.10001857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scisisis55246.2022.10001857","pdf_url":null,"source":{"id":"https://openalex.org/S4363607982","display_name":"2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&amp;ISIS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&amp;ISIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W289976167","https://openalex.org/W1885517018","https://openalex.org/W1982471090","https://openalex.org/W2013422999","https://openalex.org/W2049732490","https://openalex.org/W2064076387","https://openalex.org/W2133665775","https://openalex.org/W2799112149","https://openalex.org/W2904271401","https://openalex.org/W2919234133","https://openalex.org/W2953590133","https://openalex.org/W3023338037","https://openalex.org/W3163884521","https://openalex.org/W3174711319","https://openalex.org/W3176381160","https://openalex.org/W3194280054","https://openalex.org/W3216971330","https://openalex.org/W4206384366","https://openalex.org/W4230750869","https://openalex.org/W4281485151","https://openalex.org/W4283388932","https://openalex.org/W4292787448","https://openalex.org/W6663540370","https://openalex.org/W6791353385","https://openalex.org/W6805069711","https://openalex.org/W6838639034","https://openalex.org/W6839643428"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"a":[3,44,65,94,111],"lot":[4],"of":[5,24,60,89,110,138],"researches":[6],"on":[7,86,99,121],"AI":[8],"(Artificial":[9],"Intelligence)":[10],"for":[11,31,43,64,74],"Image":[12,15],"Synthesis":[13],"and":[14,22,132],"Generation":[16],"have":[17,33],"been":[18,34,68],"being":[19],"conducted":[20],"actively,":[21],"state":[23],"the":[25,58,128,142],"art":[26],"GANs":[27],"(Generative":[28],"Adversarial":[29],"Networks)":[30],"text-to-image":[32],"able":[35],"to":[36,80],"generate":[37],"precise":[38],"images":[39,62],"with":[40],"high":[41],"photorealism":[42],"text-based":[45],"user":[46],"query":[47,66],"(but":[48],"also":[49],"no-good":[50],"images).":[51],"However,":[52],"it":[53],"is":[54],"pointed":[55],"out":[56],"that":[57],"precision":[59],"all":[61],"generated":[63],"has":[67],"not":[69],"always":[70],"enough":[71],"high.":[72],"Therefore,":[73],"practical":[75],"usages,":[76],"they":[77],"are":[78],"required":[79],"be":[81],"re-ranked":[82],"and/or":[83],"filtered":[84],"based":[85,120],"some":[87],"sort":[88],"metric(s).":[90],"This":[91],"paper":[92],"proposes":[93],"novel":[95],"metric,":[96],"R2-B2":[97],"(RR-BB),":[98],"photorealism,":[100],"especially":[101],"\u201csize":[102],"balance\u201d":[103],"(i.e.,":[104],"balance":[105],"between":[106],"in-image":[107],"objects\u2019":[108,124],"size),":[109],"manually":[112],"or":[113,136],"automatically":[114],"synthesized":[115],"image":[116],"by":[117],"Regression":[118],"analysis":[119],"multiple":[122],"Recognized":[123],"Bounding":[125],"Box,":[126],"i.e.,":[127],"position":[129],"$(x,":[130],"y)$":[131],"size":[133],"(width,":[134],"height,":[135],"area)":[137],"objects":[139],"recognized":[140],"in":[141],"image.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
