{"id":"https://openalex.org/W4312474111","doi":"https://doi.org/10.2352/ei.2022.34.8.image-263","title":"Efficient real-time portrait video segmentation with temporal guidance","display_name":"Efficient real-time portrait video segmentation with temporal guidance","publication_year":2022,"publication_date":"2022-01-16","ids":{"openalex":"https://openalex.org/W4312474111","doi":"https://doi.org/10.2352/ei.2022.34.8.image-263"},"language":"en","primary_location":{"id":"doi:10.2352/ei.2022.34.8.image-263","is_oa":true,"landing_page_url":"https://doi.org/10.2352/ei.2022.34.8.image-263","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/34/8/IMAGE-263","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/34/8/IMAGE-263","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100717028","display_name":"Weichen Xu","orcid":"https://orcid.org/0000-0003-1190-9503"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Weichen Xu","raw_affiliation_strings":["Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN"],"affiliations":[{"raw_affiliation_string":"Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037041244","display_name":"Yezhi Shen","orcid":"https://orcid.org/0000-0003-4797-4155"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yezhi Shen","raw_affiliation_strings":["Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN"],"affiliations":[{"raw_affiliation_string":"Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100659445","display_name":"Qian Lin","orcid":"https://orcid.org/0009-0000-7034-7331"},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Lin","raw_affiliation_strings":["HP Labs, Palo Alto, CA"],"affiliations":[{"raw_affiliation_string":"HP Labs, Palo Alto, CA","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043967979","display_name":"Jan P. Allebach","orcid":"https://orcid.org/0000-0001-5608-8249"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jan P. Allebach","raw_affiliation_strings":["Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN"],"affiliations":[{"raw_affiliation_string":"Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001380619","display_name":"Fengqing Zhu","orcid":"https://orcid.org/0000-0002-3863-3220"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fengqing Zhu","raw_affiliation_strings":["Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN"],"affiliations":[{"raw_affiliation_string":"Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100717028"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.302,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55453885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"34","issue":"8","first_page":"263","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987000226974487,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987000226974487,"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":0.9984999895095825,"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":0.9962000250816345,"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/segmentation","display_name":"Segmentation","score":0.8092197179794312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7781447768211365},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6862940788269043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6714829802513123},{"id":"https://openalex.org/keywords/portrait","display_name":"Portrait","score":0.5676742792129517},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.492350697517395},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.433867871761322},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4234270751476288},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13782185316085815},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07090231776237488}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8092197179794312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7781447768211365},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6862940788269043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6714829802513123},{"id":"https://openalex.org/C162462552","wikidata":"https://www.wikidata.org/wiki/Q134307","display_name":"Portrait","level":2,"score":0.5676742792129517},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.492350697517395},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.433867871761322},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4234270751476288},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13782185316085815},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07090231776237488},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/ei.2022.34.8.image-263","is_oa":true,"landing_page_url":"https://doi.org/10.2352/ei.2022.34.8.image-263","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/34/8/IMAGE-263","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2352/ei.2022.34.8.image-263","is_oa":true,"landing_page_url":"https://doi.org/10.2352/ei.2022.34.8.image-263","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/34/8/IMAGE-263","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312474111.pdf","grobid_xml":"https://content.openalex.org/works/W4312474111.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2121295188","https://openalex.org/W2400000673","https://openalex.org/W2750772846","https://openalex.org/W2796438033","https://openalex.org/W2799157347","https://openalex.org/W2921536280","https://openalex.org/W2934985924","https://openalex.org/W2942930375","https://openalex.org/W2949650786","https://openalex.org/W2952264682","https://openalex.org/W2989803254","https://openalex.org/W3155731499","https://openalex.org/W3193427204","https://openalex.org/W4288416335","https://openalex.org/W4295276072","https://openalex.org/W4297813942","https://openalex.org/W4300263603","https://openalex.org/W4300991419"],"related_works":["https://openalex.org/W2517104666","https://openalex.org/W2171116555","https://openalex.org/W2005437358","https://openalex.org/W4281553171","https://openalex.org/W1669643531","https://openalex.org/W2123374136","https://openalex.org/W2900363363","https://openalex.org/W3098068165","https://openalex.org/W2008656436","https://openalex.org/W2134924024"],"abstract_inverted_index":{"Virtual":[0],"background":[1],"has":[2],"become":[3],"an":[4,98],"increasingly":[5],"important":[6],"feature":[7],"of":[8,16,29],"online":[9],"video":[10,39,55,78],"conferencing":[11],"due":[12,60],"to":[13,33,61,76,84,104],"the":[14,30,37],"popularity":[15],"remote":[17],"work":[18],"in":[19],"recent":[20],"years.":[21],"To":[22],"enable":[23],"virtual":[24],"background,":[25,63],"a":[26],"segmentation":[27,56,101,119],"mask":[28],"participant":[31],"needs":[32],"be":[34],"extracted":[35],"from":[36],"real-time":[38],"input.":[40],"Most":[41],"previous":[42],"works":[43],"have":[44],"focused":[45],"on":[46,121],"image":[47],"based":[48],"methods":[49,83,115],"for":[50],"portrait":[51,54,100,122],"segmentation.":[52],"However,":[53],"poses":[57],"additional":[58],"challenges":[59,87],"complicated":[62],"body":[64],"motion,":[65],"and":[66,80,93],"inter-frame":[67],"consistency.":[68],"In":[69],"this":[70],"paper,":[71],"we":[72],"utilize":[73],"temporal":[74,107],"guidance":[75],"improve":[77],"segmentation,":[79],"propose":[81],"several":[82],"address":[85],"these":[86],"including":[88],"prior":[89],"mask,":[90],"optical":[91],"flow,":[92],"visual":[94],"memory.":[95],"We":[96],"leverage":[97],"existing":[99],"model":[102],"PortraitNet":[103],"incorporate":[105],"our":[106,114],"guided":[108],"methods.":[109],"Experimental":[110],"results":[111],"show":[112],"that":[113],"can":[116],"achieve":[117],"improved":[118],"performance":[120],"videos":[123],"with":[124],"minimum":[125],"latency.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}