{"id":"https://openalex.org/W4399863400","doi":"https://doi.org/10.1007/s11042-024-19627-5","title":"Key points trajectory and multi-level depth distinction based refinement for video mirror and glass segmentation","display_name":"Key points trajectory and multi-level depth distinction based refinement for video mirror and glass segmentation","publication_year":2024,"publication_date":"2024-06-20","ids":{"openalex":"https://openalex.org/W4399863400","doi":"https://doi.org/10.1007/s11042-024-19627-5"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-024-19627-5","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s11042-024-19627-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-024-19627-5.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11042-024-19627-5.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054514747","display_name":"Ziyue Wang","orcid":"https://orcid.org/0009-0001-1783-4816"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ziyue Wang","raw_affiliation_strings":["Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, 8080135, Japan"],"raw_orcid":"https://orcid.org/0009-0001-1783-4816","affiliations":[{"raw_affiliation_string":"Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, 8080135, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012607880","display_name":"Yanchao Liu","orcid":"https://orcid.org/0000-0002-6165-7060"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yanchao Liu","raw_affiliation_strings":["Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, 8080135, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, 8080135, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007867868","display_name":"Xina Cheng","orcid":"https://orcid.org/0000-0001-7319-1635"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xina Cheng","raw_affiliation_strings":["Xidian University, Xi\u2019an, 710071, China","Xidian University, Xi'an, 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University, Xi\u2019an, 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, Xi'an, 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103206427","display_name":"Takeshi Ikenaga","orcid":"https://orcid.org/0000-0001-8338-8175"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Ikenaga","raw_affiliation_strings":["Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, 8080135, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, 8080135, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007867868","https://openalex.org/A5054514747"],"corresponding_institution_ids":["https://openalex.org/I149594827","https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07658398,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"83","issue":"39","first_page":"86513","last_page":"86535"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9994000196456909,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9994000196456909,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9990000128746033,"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":0.9951000213623047,"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":0.8204053640365601},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8001360893249512},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7047308087348938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.671992301940918},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.6260803937911987},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6150040626525879},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5963569283485413},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5526309609413147}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8204053640365601},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8001360893249512},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7047308087348938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.671992301940918},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.6260803937911987},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6150040626525879},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5963569283485413},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5526309609413147},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11042-024-19627-5","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s11042-024-19627-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-024-19627-5.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11042-024-19627-5","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s11042-024-19627-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-024-19627-5.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G271681636","display_name":null,"funder_award_id":"21K11816","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399863400.pdf"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2017745767","https://openalex.org/W2076756823","https://openalex.org/W2138682569","https://openalex.org/W2150593711","https://openalex.org/W2175023734","https://openalex.org/W2470139095","https://openalex.org/W2546880582","https://openalex.org/W2583381660","https://openalex.org/W2609009256","https://openalex.org/W2610147486","https://openalex.org/W2727600720","https://openalex.org/W2811180360","https://openalex.org/W2895340898","https://openalex.org/W2951395768","https://openalex.org/W2955084925","https://openalex.org/W2957408986","https://openalex.org/W2962828767","https://openalex.org/W2967199722","https://openalex.org/W2981342784","https://openalex.org/W2983727866","https://openalex.org/W2987391422","https://openalex.org/W2997487053","https://openalex.org/W3034592098","https://openalex.org/W3035618398","https://openalex.org/W3038327201","https://openalex.org/W3042713200","https://openalex.org/W3043971245","https://openalex.org/W3088257051","https://openalex.org/W3099392664","https://openalex.org/W3108043693","https://openalex.org/W3111891682","https://openalex.org/W3153051248","https://openalex.org/W3170511209","https://openalex.org/W3174211490","https://openalex.org/W3174982506","https://openalex.org/W3175515048","https://openalex.org/W3175852502","https://openalex.org/W3179324864","https://openalex.org/W3201833577","https://openalex.org/W3204640376","https://openalex.org/W3212881378","https://openalex.org/W4200042631","https://openalex.org/W4212774754","https://openalex.org/W4226018689","https://openalex.org/W4226494801","https://openalex.org/W4236769309","https://openalex.org/W4290755538","https://openalex.org/W4293055706","https://openalex.org/W4304080460","https://openalex.org/W4308239176","https://openalex.org/W4312248562","https://openalex.org/W4312443924","https://openalex.org/W4312526532","https://openalex.org/W4312820606","https://openalex.org/W4312866343","https://openalex.org/W4319300199","https://openalex.org/W4327807853","https://openalex.org/W4382020870","https://openalex.org/W4385739056","https://openalex.org/W4386050422","https://openalex.org/W4390871729","https://openalex.org/W4391785118","https://openalex.org/W4393148754","https://openalex.org/W4393305204","https://openalex.org/W4394593025","https://openalex.org/W4396681861","https://openalex.org/W6634721143"],"related_works":["https://openalex.org/W2592395359","https://openalex.org/W2535231171","https://openalex.org/W2045342254","https://openalex.org/W1501331687","https://openalex.org/W2326647871","https://openalex.org/W4205247302","https://openalex.org/W2468652214","https://openalex.org/W2501551404","https://openalex.org/W1504527458","https://openalex.org/W2130144716"],"abstract_inverted_index":{"Abstract":[0],"Mirror":[1],"and":[2,80,97,115,123,134,145,173,196,212,247,262,283],"glass":[3,51,81,98,124,146,174,213,284],"are":[4,149],"ubiquitous":[5],"materials":[6],"in":[7,60,82,90,126,170,179],"the":[8,14,29,58,109,121,140,164,171,177,202,234,239,249],"3D":[9],"indoor":[10],"living":[11],"environment.":[12],"However,":[13,93],"existing":[15,153],"vision":[16],"system":[17],"always":[18,27],"tends":[19],"to":[20,108,138,162,183,201],"neglect":[21],"or":[22,35,45,53,62],"misdiagnose":[23],"them":[24],"since":[25],"they":[26],"perform":[28],"special":[30,165],"visual":[31],"feature":[32,167],"of":[33,77,111,143,168],"reflectivity":[34],"transparency,":[36],"which":[37,199,218,269],"causes":[38],"severe":[39],"consequences,":[40],"i.e.":[41],",":[42],"a":[43,50,103,112,188],"robot":[44],"drone":[46],"may":[47,68],"crash":[48],"into":[49],"wall":[52],"be":[54,69],"wrongly":[55],"positioned":[56],"by":[57,71,151],"reflections":[59],"mirrors,":[61],"wireless":[63],"signals":[64],"with":[65,225],"high":[66],"frequency":[67],"influenced":[70],"these":[72],"high-reflective":[73],"materials.":[74],"The":[75],"exploration":[76],"segmenting":[78,95],"mirrors":[79,96],"static":[83],"images":[84,221],"has":[85],"garnered":[86],"notable":[87],"research":[88],"interest":[89],"recent":[91],"years.":[92],"accurately":[94,119],"within":[99],"dynamic":[100],"scenes":[101],"remains":[102],"formidable":[104],"challenge,":[105],"primarily":[106],"due":[107],"lack":[110],"high-quality":[113],"dataset":[114,208],"effective":[116],"methodologies.":[117],"To":[118],"segment":[120],"mirror":[122,144,172,211,282],"regions":[125,147],"videos,":[127],"this":[128],"paper":[129],"proposes":[130],"key":[131,157],"points":[132,158],"trajectory":[133,159,180],"multi-level":[135,189],"depth":[136,190],"distinction":[137,178],"improve":[139],"segmentation":[141,154,198,214,240],"quality":[142],"that":[148,233],"generated":[150,193,242],"any":[152],"model.":[155],"Firstly,":[156],"is":[160,181,192,216,270],"used":[161,182],"extract":[163],"motion":[166],"reflection":[169],"region.":[175],"And":[176],"remove":[184],"wrong":[185],"segmentation.":[186],"Secondly,":[187],"map":[191],"for":[194,209],"region":[195],"edge":[197],"contributes":[200],"accuracy":[203],"improvement.":[204],"Further,":[205],"an":[206,279],"original":[207,280],"video":[210,281],"(MAGD)":[215],"constructed,":[217],"contains":[219],"9,960":[220],"from":[222,243],"36":[223],"videos":[224],"corresponding":[226],"manually":[227],"annotated":[228],"masks.":[229],"Extensive":[230],"experiments":[231],"demonstrate":[232],"proposed":[235],"method":[236],"consistently":[237],"reduces":[238],"errors":[241],"various":[244],"state-of-the-art":[245],"models":[246],"reach":[248],"highest":[250],"successful":[251],"rate":[252],"at":[253,260,267],"0.969,":[254],"mIoU":[255],"(mean":[256,264],"Intersection":[257],"over":[258],"Union)":[259],"0.852,":[261],"mPA":[263],"Pixel":[265],"Accuracy)":[266],"0.950,":[268],"around":[271],"40%":[272],"-":[273],"50%":[274],"higher":[275],"on":[276,278],"average":[277],"dataset.":[285]},"counts_by_year":[],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
