{"id":"https://openalex.org/W1983716831","doi":"https://doi.org/10.1145/2739482.2768444","title":"Using Particle Swarm Large-scale Optimization to Improve Sampling-based Image Matting","display_name":"Using Particle Swarm Large-scale Optimization to Improve Sampling-based Image Matting","publication_year":2015,"publication_date":"2015-07-10","ids":{"openalex":"https://openalex.org/W1983716831","doi":"https://doi.org/10.1145/2739482.2768444","mag":"1983716831"},"language":"en","primary_location":{"id":"doi:10.1145/2739482.2768444","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739482.2768444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation","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/A5101732702","display_name":"Liang Lv","orcid":"https://orcid.org/0009-0001-6242-4584"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lv Liang","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088160732","display_name":"Han Huang","orcid":"https://orcid.org/0009-0002-7069-0468"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huang Han","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101440145","display_name":"Zhaoquan Cai","orcid":"https://orcid.org/0000-0002-3273-1137"},"institutions":[{"id":"https://openalex.org/I93477617","display_name":"Huizhou University","ror":"https://ror.org/03q3s7962","country_code":"CN","type":"education","lineage":["https://openalex.org/I93477617"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cai Zhaoquan","raw_affiliation_strings":["College of Huizhou, Huizhou, China"],"affiliations":[{"raw_affiliation_string":"College of Huizhou, Huizhou, China","institution_ids":["https://openalex.org/I93477617"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103655561","display_name":"Hu Hui","orcid":null},"institutions":[{"id":"https://openalex.org/I93477617","display_name":"Huizhou University","ror":"https://ror.org/03q3s7962","country_code":"CN","type":"education","lineage":["https://openalex.org/I93477617"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Hui","raw_affiliation_strings":["College of Huizhou, Huizhou, China"],"affiliations":[{"raw_affiliation_string":"College of Huizhou, Huizhou, China","institution_ids":["https://openalex.org/I93477617"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101732702"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.5523,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73943921,"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":"957","last_page":"961"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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/T11019","display_name":"Image Enhancement Techniques","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9952999949455261,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.8055694699287415},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6776560544967651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6252989172935486},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5886729955673218},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5295993685722351},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.525972306728363},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5087385773658752},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49893879890441895},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.44809937477111816},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.42619192600250244},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4243537485599518},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.4160473942756653},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3837236166000366},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2015795111656189},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.057936131954193115}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.8055694699287415},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6776560544967651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6252989172935486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5886729955673218},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5295993685722351},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.525972306728363},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5087385773658752},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49893879890441895},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.44809937477111816},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42619192600250244},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4243537485599518},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.4160473942756653},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3837236166000366},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2015795111656189},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.057936131954193115},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2739482.2768444","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739482.2768444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2616589226","display_name":null,"funder_award_id":"61370102,61170193,61203310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1549397315","https://openalex.org/W1993120651","https://openalex.org/W2007640671","https://openalex.org/W2077604257","https://openalex.org/W2103334940","https://openalex.org/W2108388069","https://openalex.org/W2109364787","https://openalex.org/W2109815552","https://openalex.org/W2123066915","https://openalex.org/W2131613989","https://openalex.org/W2134839354","https://openalex.org/W2138278080","https://openalex.org/W2149860324","https://openalex.org/W2152195021","https://openalex.org/W2165299997","https://openalex.org/W2169040970","https://openalex.org/W2293703294","https://openalex.org/W2296349909","https://openalex.org/W4301626968"],"related_works":["https://openalex.org/W2006324351","https://openalex.org/W2965421953","https://openalex.org/W2349895019","https://openalex.org/W2116074880","https://openalex.org/W2950423922","https://openalex.org/W2121780490","https://openalex.org/W2137136732","https://openalex.org/W2132113279","https://openalex.org/W2368795850","https://openalex.org/W2113224065"],"abstract_inverted_index":{"Sampling-based":[0],"image":[1,9,84,106,135],"matting":[2,12,107],"is":[3,38,51,65,77],"an":[4,43],"important":[5],"basic":[6],"operator":[7],"of":[8,19,28,42,74,83,91],"processing.":[10],"The":[11,22,102,118],"results":[13],"are":[14,112],"depended":[15],"on":[16],"the":[17,36,40,49,69,80,116,123],"quality":[18],"sample":[20,23,96],"selection.":[21],"selection":[24],"produces":[25],"a":[26,55,92,95,99],"pair":[27,97],"samples":[29],"for":[30,98,134],"each":[31],"pixel":[32,37],"to":[33,47,67,79],"detect":[34],"whether":[35],"in":[39,115],"foreground":[41],"image.":[44,117],"Therefore,":[45],"how":[46],"optimize":[48],"production":[50],"usually":[52],"modeled":[53],"as":[54,94],"large-scale":[56],"optimization":[57,64,127,132],"problem.":[58],"In":[59],"this":[60],"study,":[61],"particle":[62,93,125],"swarm":[63,126],"applied":[66],"solve":[68],"problem":[70],"because":[71],"its":[72],"property":[73],"rapid":[75],"convergence":[76],"positive":[78],"real-time":[81],"demand":[82],"matting.":[85,136],"We":[86],"regard":[87],"every":[88],"two":[89],"dimensions":[90],"undetermined":[100],"pixel.":[101],"encoding":[103],"can":[104],"make":[105],"more":[108],"effective":[109],"when":[110],"there":[111],"relevant":[113],"pixels":[114],"experimental":[119],"result":[120],"indicates":[121],"that":[122],"proposed":[124],"performs":[128],"better":[129],"than":[130],"existing":[131],"method":[133]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
