{"id":"https://openalex.org/W2915070004","doi":"https://doi.org/10.1109/ic3ina.2018.8629501","title":"Depth Data based Chroma Keying using Grab-cut Segmentation","display_name":"Depth Data based Chroma Keying using Grab-cut Segmentation","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2915070004","doi":"https://doi.org/10.1109/ic3ina.2018.8629501","mag":"2915070004"},"language":"en","primary_location":{"id":"doi:10.1109/ic3ina.2018.8629501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3ina.2018.8629501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA)","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/A5022833997","display_name":"Puji Lestari","orcid":"https://orcid.org/0000-0003-1116-1320"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Puji Lestari","raw_affiliation_strings":["Institute F\u00fcr Medientechnic, Technische Universit\u00e4t Ilmenau, Germany"],"affiliations":[{"raw_affiliation_string":"Institute F\u00fcr Medientechnic, Technische Universit\u00e4t Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088734009","display_name":"S. Niyas","orcid":null},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S Niyas","raw_affiliation_strings":["National Institute of Technology, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Karnataka, India","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009423697","display_name":"Dikdik Krisnandi","orcid":"https://orcid.org/0000-0003-1611-9631"},"institutions":[{"id":"https://openalex.org/I19128659","display_name":"Indonesian Institute of Sciences","ror":"https://ror.org/03d7c1451","country_code":"ID","type":"facility","lineage":["https://openalex.org/I19128659"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Dikdik Krisnandi","raw_affiliation_strings":["Research Center of Informatics, Indonesian Institute of Sciences, Indonesia"],"affiliations":[{"raw_affiliation_string":"Research Center of Informatics, Indonesian Institute of Sciences, Indonesia","institution_ids":["https://openalex.org/I19128659"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022833997"],"corresponding_institution_ids":["https://openalex.org/I119449181"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49088651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"118","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9988999962806702,"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":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8086639642715454},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7878860831260681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7693321704864502},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7591108083724976},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6481708288192749},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6272203326225281},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.6040458679199219},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5911406874656677},{"id":"https://openalex.org/keywords/range-segmentation","display_name":"Range segmentation","score":0.44406065344810486},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4226275086402893},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3949972093105316}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8086639642715454},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7878860831260681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7693321704864502},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7591108083724976},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6481708288192749},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6272203326225281},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.6040458679199219},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5911406874656677},{"id":"https://openalex.org/C67561299","wikidata":"https://www.wikidata.org/wiki/Q7292710","display_name":"Range segmentation","level":5,"score":0.44406065344810486},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4226275086402893},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3949972093105316}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3ina.2018.8629501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3ina.2018.8629501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W22090881","https://openalex.org/W72365246","https://openalex.org/W188100818","https://openalex.org/W976039271","https://openalex.org/W1495749723","https://openalex.org/W1846524963","https://openalex.org/W1983974932","https://openalex.org/W1995450389","https://openalex.org/W1998399571","https://openalex.org/W2000825879","https://openalex.org/W2017885543","https://openalex.org/W2031369821","https://openalex.org/W2043459391","https://openalex.org/W2072341116","https://openalex.org/W2123701509","https://openalex.org/W2124351162","https://openalex.org/W2132985428","https://openalex.org/W2134089414","https://openalex.org/W2135246500","https://openalex.org/W2153036496","https://openalex.org/W2155904486","https://openalex.org/W2161969291","https://openalex.org/W2166049352","https://openalex.org/W2289326956","https://openalex.org/W2294656809","https://openalex.org/W2344532017","https://openalex.org/W2417254599","https://openalex.org/W2443566771","https://openalex.org/W2465449307","https://openalex.org/W2513742795","https://openalex.org/W2520115596","https://openalex.org/W2533803944","https://openalex.org/W2574028767","https://openalex.org/W2576506276","https://openalex.org/W2586521908","https://openalex.org/W2608939403","https://openalex.org/W2613525176","https://openalex.org/W2737387466","https://openalex.org/W2744680710","https://openalex.org/W3105229608","https://openalex.org/W4229858876","https://openalex.org/W4285719527","https://openalex.org/W6607639081","https://openalex.org/W6679849079","https://openalex.org/W6719340515","https://openalex.org/W6726527308"],"related_works":["https://openalex.org/W2551987074","https://openalex.org/W2553765490","https://openalex.org/W3144569342","https://openalex.org/W2135797233","https://openalex.org/W3152412130","https://openalex.org/W1998145955","https://openalex.org/W2128032357","https://openalex.org/W2150504945","https://openalex.org/W2394279717","https://openalex.org/W2116318757"],"abstract_inverted_index":{"The":[0,35,55,91,119],"research":[1],"presents":[2],"a":[3,29,66,113,132],"depth-image":[4],"based":[5,75],"automatic":[6],"object":[7,53],"segmentation":[8,47,135,150,181,206,216],"for":[9,61,197,211],"chroma":[10,67,199,219],"key":[11,30],"editing":[12,218],"in":[13,32,95,217],"multimedia":[14],"applications.":[15],"Depth":[16],"data":[17,22,43,93],"taken":[18],"from":[19,65,161],"advanced":[20],"depth":[21,42,92],"capturing":[23],"devices":[24],"like":[25],"Microsoft":[26],"Kinect":[27],"has":[28],"role":[31],"this":[33,45,166],"research.":[34],"proposed":[36],"approach":[37],"uses":[38],"both":[39],"color":[40,148],"and":[41,44,130,176,208],"hybrid":[46],"generates":[48],"results":[49,94,203,207],"with":[50,193],"clear":[51],"foreground":[52,89,163,190],"boundaries.":[54],"present":[56],"system":[57],"is":[58,78,110,140,174,182],"exclusively":[59],"designed":[60],"segmenting":[62],"human":[63,76,138,191],"subjects":[64,139,192],"keyed":[68,200,220],"scene.":[69],"An":[70],"Aggregate":[71],"Channel":[72],"Feature":[73],"(ACF)":[74],"detection":[77,85],"also":[79],"employed":[80,175],"here":[81,153],"to":[82,87,154,187],"eliminate":[83,155],"false":[84],"due":[86],"other":[88],"objects.":[90],"dark":[96],"regions":[97],"may":[98],"create":[99],"small":[100],"errors":[101],"over":[102],"edge":[103,195],"pixel":[104],"segmentation.":[105,146],"So,":[106],"the":[107,122,137,158,162,177,189,205],"whole":[108],"process":[109],"carried":[111],"through":[112],"sequence":[114],"of":[115,136,157],"image":[116],"processing":[117],"techniques.":[118],"pixels":[120,160],"nearby":[121],"head":[123],"portion":[124],"first":[125],"restored":[126],"using":[127,142,184],"K-means":[128],"clustering":[129],"then":[131],"coarse":[133,167],"level":[134,168,180],"obtained":[141],"Fuzzy":[143],"C":[144],"means":[145],"A":[147],"characteristic-based":[149],"us":[151],"used":[152],"most":[156],"background":[159],"subjects.":[164],"After":[165],"segmentation,":[169],"an":[170,212],"adaptive":[171],"Tri-map":[172],"generation":[173],"ultimate":[178],"fine":[179],"achieved":[183],"Grab-cut":[185],"Segmentation":[186],"generate":[188],"accurate":[194],"boundaries":[196],"matting":[198],"images/frames.":[201],"Experimental":[202],"validate":[204],"its":[209],"ability":[210],"error":[213],"free":[214],"automated":[215],"images":[221],"or":[222],"video.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
