{"id":"https://openalex.org/W2114378523","doi":"https://doi.org/10.1109/cvpr.2012.6247741","title":"Weighted color and texture sample selection for image matting","display_name":"Weighted color and texture sample selection for image matting","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2114378523","doi":"https://doi.org/10.1109/cvpr.2012.6247741","mag":"2114378523"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6247741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","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/A5000217688","display_name":"Ehsan Shahrian","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"E. Shahrian","raw_affiliation_strings":["Nanyang Technological University, Singapore","Nanyang Technological University 50 Nanyang Avenue, Singapore 639798"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University 50 Nanyang Avenue, Singapore 639798","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009372982","display_name":"Deepu Rajan","orcid":"https://orcid.org/0000-0001-7788-8368"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"D. Rajan","raw_affiliation_strings":["Nanyang Technological University, Singapore","Nanyang Technological University 50 Nanyang Avenue, Singapore 639798"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University 50 Nanyang Avenue, Singapore 639798","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000217688"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":6.3978,"has_fulltext":false,"cited_by_count":84,"citation_normalized_percentile":{"value":0.97197083,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"718","last_page":"725"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8295340538024902},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6456406712532043},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6455086469650269},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6390649676322937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5913670063018799},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5675920844078064},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.5479269027709961},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5397343039512634},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5237367153167725},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4834219217300415},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4821060001850128},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.4806974530220032},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4731760323047638},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.4628758728504181},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4572768211364746},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.4522921144962311},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40794849395751953},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.2883172035217285},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2750411033630371},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08158406615257263}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8295340538024902},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6456406712532043},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6455086469650269},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6390649676322937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5913670063018799},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5675920844078064},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.5479269027709961},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5397343039512634},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5237367153167725},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4834219217300415},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4821060001850128},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.4806974530220032},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4731760323047638},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.4628758728504181},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4572768211364746},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.4522921144962311},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40794849395751953},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2883172035217285},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2750411033630371},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08158406615257263},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2012.6247741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/98423","is_oa":false,"landing_page_url":"https://hdl.handle.net/10220/12501","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1549397315","https://openalex.org/W1553085054","https://openalex.org/W1761458024","https://openalex.org/W1985176903","https://openalex.org/W1993120651","https://openalex.org/W2007640671","https://openalex.org/W2027480687","https://openalex.org/W2035773017","https://openalex.org/W2077604257","https://openalex.org/W2103334940","https://openalex.org/W2103917701","https://openalex.org/W2109815552","https://openalex.org/W2125637308","https://openalex.org/W2149860324","https://openalex.org/W2157887643","https://openalex.org/W2169040970","https://openalex.org/W2293703294","https://openalex.org/W2296349909","https://openalex.org/W4212813961","https://openalex.org/W6646551738","https://openalex.org/W6675705777"],"related_works":["https://openalex.org/W1981206111","https://openalex.org/W2116367486","https://openalex.org/W2167320272","https://openalex.org/W2294493990","https://openalex.org/W1611718501","https://openalex.org/W2589042415","https://openalex.org/W2404548701","https://openalex.org/W2382864128","https://openalex.org/W4226129224","https://openalex.org/W2355820532"],"abstract_inverted_index":{"Color":[0],"information":[1],"is":[2,31,74,106,124,161],"leveraged":[3],"by":[4,76,87,109],"color":[5,19,36,44,96,105,120],"sampling-based":[6],"matting":[7,64,168],"methods":[8,24,65],"to":[9,97,126],"find":[10],"the":[11,35,52,58,69,111,114,128,154,158],"best":[12,129],"known":[13],"samples":[14,54],"for":[15],"foreground":[16,39,130],"and":[17,40,50,104,121,131,149],"background":[18,41,132],"of":[20,38,102,113,137,153],"unknown":[21],"pixels.":[22],"Such":[23],"do":[25],"not":[26],"perform":[27],"well":[28],"if":[29],"there":[30],"an":[32,150],"overlap":[33],"in":[34],"distribution":[37],"regions":[42,49],"because":[43],"cannot":[45,55],"distinguish":[46],"between":[47],"these":[48,84],"hence,":[51],"selected":[53],"reliably":[56],"estimate":[57],"matte.":[59],"Similarly,":[60],"alpha":[61],"propagation":[62],"based":[63],"may":[66],"fail":[67],"when":[68],"affinity":[70],"among":[71,134,164],"neighboring":[72],"pixels":[73],"reduced":[75],"strong":[77],"edges.":[78],"In":[79],"this":[80],"paper,":[81],"we":[82],"overcome":[83],"two":[85],"problems":[86],"considering":[88],"texture":[89,103,122],"as":[90],"a":[91,135,145],"feature":[92],"that":[93,157],"can":[94],"complement":[95],"improve":[98],"matting.":[99],"The":[100],"contribution":[101],"automatically":[107],"estimated":[108],"analyzing":[110],"content":[112],"image.":[115],"An":[116],"objective":[117],"function":[118],"containing":[119],"components":[123],"optimized":[125],"choose":[127],"pair":[133],"set":[136,148],"candidate":[138],"pairs.":[139],"Experiments":[140],"are":[141],"carried":[142],"out":[143],"on":[144],"benchmark":[146],"data":[147],"independent":[151],"evaluation":[152],"results":[155],"show":[156],"proposed":[159],"method":[160],"ranked":[162],"first":[163],"all":[165],"other":[166],"image":[167],"methods.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":6}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
