{"id":"https://openalex.org/W2167403746","doi":"https://doi.org/10.1109/icme.2010.5583894","title":"Temporally consistent video matting based on bilayer segmentation","display_name":"Temporally consistent video matting based on bilayer segmentation","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2167403746","doi":"https://doi.org/10.1109/icme.2010.5583894","mag":"2167403746"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2010.5583894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2010.5583894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Multimedia and Expo","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/A5101458063","display_name":"Zhen Tang","orcid":"https://orcid.org/0000-0002-9559-5216"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhen Tang","raw_affiliation_strings":["Institute of Information Science, Beijing jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111825657","display_name":"Zhenjiang Miao","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenjiang Miao","raw_affiliation_strings":["Institute of Information Science, Beijing jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101473444","display_name":"Yanli Wan","orcid":"https://orcid.org/0000-0002-7307-2027"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanli Wan","raw_affiliation_strings":["Institute of Information Science, Beijing jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101458063"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.6374,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73227952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"370","last_page":"375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":0.9997000098228455,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7270388603210449},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6802977323532104},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5702757239341736},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5479764938354492},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5148014426231384},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4950782358646393},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.48448726534843445},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.4839363694190979},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4721142053604126},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4567568898200989},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4520159363746643},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4478623569011688},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4165581464767456},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3200942575931549},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17195284366607666},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.08582234382629395}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7270388603210449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6802977323532104},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5702757239341736},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5479764938354492},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5148014426231384},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4950782358646393},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.48448726534843445},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.4839363694190979},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4721142053604126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4567568898200989},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4520159363746643},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4478623569011688},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4165581464767456},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3200942575931549},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17195284366607666},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.08582234382629395},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2010.5583894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2010.5583894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323066","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1551741280","https://openalex.org/W1578985305","https://openalex.org/W1975862670","https://openalex.org/W2030837774","https://openalex.org/W2035773017","https://openalex.org/W2097998671","https://openalex.org/W2102354443","https://openalex.org/W2117435890","https://openalex.org/W2125480112","https://openalex.org/W2126369166","https://openalex.org/W2146402877","https://openalex.org/W2152356964","https://openalex.org/W2154118576","https://openalex.org/W2157887643","https://openalex.org/W2168254109","https://openalex.org/W2244837655","https://openalex.org/W2294819727","https://openalex.org/W2997945685","https://openalex.org/W4211189038","https://openalex.org/W4234235766","https://openalex.org/W4240072365","https://openalex.org/W4240129525","https://openalex.org/W4245225511","https://openalex.org/W6632965254","https://openalex.org/W6682363980","https://openalex.org/W6685125328"],"related_works":["https://openalex.org/W1952261593","https://openalex.org/W2014494654","https://openalex.org/W1975321310","https://openalex.org/W2990323019","https://openalex.org/W3130349901","https://openalex.org/W1579833936","https://openalex.org/W2095350775","https://openalex.org/W1603736412","https://openalex.org/W2115713555","https://openalex.org/W2014842417"],"abstract_inverted_index":{"In":[0,95],"this":[1],"paper,":[2],"a":[3,26,63,82,115],"quasi-automatic":[4],"video":[5,93,129],"matting":[6,113],"approach":[7],"which":[8,37],"can":[9],"preserve":[10],"the":[11,15,31,39,74,78,90,99,105,112,132,135],"temporal":[12],"consistency":[13],"of":[14,128,137],"alpha":[16],"mattes":[17],"is":[18,50,70,86,120],"presented.":[19],"\u201cQuasi-automatic\u201d":[20],"means":[21],"that":[22],"it":[23],"only":[24],"needs":[25],"few":[27],"user":[28,100,106],"interactions":[29],"on":[30],"first":[32],"frame.":[33],"A":[34],"new":[35],"algorithm":[36,69,119,125],"incorporates":[38],"Bayesian":[40],"Estimation,":[41],"Weighted":[42],"Kernel":[43],"Density":[44],"Estimation":[45],"(WKDE)":[46],"and":[47,54,131],"graph":[48],"cut":[49],"presented":[51],"to":[52,72,77,88,97,110],"automatically":[53],"accurately":[55],"segment":[56],"each":[57],"frame":[58],"into":[59],"bilayer.":[60],"And":[61],"then":[62],"GMM":[64],"(Gaussian":[65],"Mixture":[66],"Model)":[67],"based":[68,117],"used":[71,87],"transform":[73],"foreground":[75],"layer":[76],"trimap.":[79],"At":[80],"last,":[81],"3D":[83],"closed-form":[84],"method":[85],"achieve":[89],"temporally":[91],"consistent":[92],"matting.":[94],"order":[96],"give":[98],"real":[101],"time":[102],"feedbacks":[103],"when":[104],"adds":[107],"more":[108],"scribbles":[109],"edit":[111],"result,":[114],"smallest-independent-region":[116],"re-matting":[118],"proposed.":[121],"We":[122],"test":[123],"our":[124,138],"with":[126],"variety":[127],"sequences,":[130],"results":[133],"demonstrate":[134],"effectiveness":[136],"approach.":[139]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}