{"id":"https://openalex.org/W4220928774","doi":"https://doi.org/10.3390/rs14071568","title":"A Strategy of Parallel SLIC Superpixels for Handling Large-Scale Images over Apache Spark","display_name":"A Strategy of Parallel SLIC Superpixels for Handling Large-Scale Images over Apache Spark","publication_year":2022,"publication_date":"2022-03-24","ids":{"openalex":"https://openalex.org/W4220928774","doi":"https://doi.org/10.3390/rs14071568"},"language":"en","primary_location":{"id":"doi:10.3390/rs14071568","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14071568","pdf_url":"https://www.mdpi.com/2072-4292/14/7/1568/pdf?version=1648123161","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/7/1568/pdf?version=1648123161","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100387161","display_name":"Ning Wang","orcid":"https://orcid.org/0000-0002-5935-8811"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Wang","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Beijing 100094, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100766597","display_name":"Fang Chen","orcid":"https://orcid.org/0000-0002-4410-7040"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Chen","raw_affiliation_strings":["Hainan Key Laboratory of Earth Observation, Aerospace Information Research Institute, Chinese Academy of Sciences, Sanya 572029, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Beijing 100094, China","State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hainan Key Laboratory of Earth Observation, Aerospace Information Research Institute, Chinese Academy of Sciences, Sanya 572029, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435035","display_name":"Bo Yu","orcid":"https://orcid.org/0000-0003-1197-2764"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yu","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Beijing 100094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049523028","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-7163-3644"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Wang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China"],"raw_orcid":"https://orcid.org/0000-0002-7163-3644","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366","https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049523028"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199","https://openalex.org/I4210166112"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.339,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60739938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"14","issue":"7","first_page":"1568","last_page":"1568"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.998199999332428,"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":0.9977999925613403,"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/computer-science","display_name":"Computer science","score":0.8184149265289307},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.810655951499939},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7285444736480713},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6510987877845764},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5719384551048279},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5661466717720032},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46192046999931335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4488801658153534},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4470755159854889},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.43658965826034546},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3765382766723633},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3322215676307678},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3277086615562439},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13696014881134033}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8184149265289307},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.810655951499939},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7285444736480713},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6510987877845764},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5719384551048279},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5661466717720032},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46192046999931335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4488801658153534},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4470755159854889},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.43658965826034546},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3765382766723633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3322215676307678},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3277086615562439},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13696014881134033},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14071568","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14071568","pdf_url":"https://www.mdpi.com/2072-4292/14/7/1568/pdf?version=1648123161","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8b009bdb47d143b38ce03f5b192c5bbc","is_oa":true,"landing_page_url":"https://doaj.org/article/8b009bdb47d143b38ce03f5b192c5bbc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 7, p 1568 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/7/1568/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14071568","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14071568","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14071568","pdf_url":"https://www.mdpi.com/2072-4292/14/7/1568/pdf?version=1648123161","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G110607599","display_name":null,"funder_award_id":"guikeAA20302022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7119508911","display_name":"\u57fa\u4e8e\u6781\u8f68\u536b\u661f\u4e0e\u9759\u6b62\u8f68\u9053\u536b\u661f\u6570\u636e\u7684\u706b\u70b9\u8054\u5408\u53cd\u6f14\u7814\u7a76","funder_award_id":"41871345","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4220928774.pdf","grobid_xml":"https://content.openalex.org/works/W4220928774.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1975919281","https://openalex.org/W1984792953","https://openalex.org/W2059157192","https://openalex.org/W2063395455","https://openalex.org/W2072289174","https://openalex.org/W2095483845","https://openalex.org/W2118246710","https://openalex.org/W2150280378","https://openalex.org/W2176673053","https://openalex.org/W2295018589","https://openalex.org/W2511536340","https://openalex.org/W2560167313","https://openalex.org/W2585293115","https://openalex.org/W2591129009","https://openalex.org/W2612323846","https://openalex.org/W2612449331","https://openalex.org/W2615179483","https://openalex.org/W2725897987","https://openalex.org/W2746841293","https://openalex.org/W2753203118","https://openalex.org/W2764005395","https://openalex.org/W2774676107","https://openalex.org/W2778158661","https://openalex.org/W2779097157","https://openalex.org/W2793288240","https://openalex.org/W2797908548","https://openalex.org/W2803946774","https://openalex.org/W2890225206","https://openalex.org/W2897711619","https://openalex.org/W2909565627","https://openalex.org/W2910851390","https://openalex.org/W2913702552","https://openalex.org/W2923136550","https://openalex.org/W2935551676","https://openalex.org/W2989839147","https://openalex.org/W2996135969","https://openalex.org/W2998039052","https://openalex.org/W3007314771","https://openalex.org/W3010551242","https://openalex.org/W3012142154","https://openalex.org/W3016556611","https://openalex.org/W3122416784","https://openalex.org/W3161739069","https://openalex.org/W3162741482","https://openalex.org/W6666046575","https://openalex.org/W6758063005","https://openalex.org/W6873172816"],"related_works":["https://openalex.org/W3015859229","https://openalex.org/W2230552005","https://openalex.org/W1975949872","https://openalex.org/W3159871278","https://openalex.org/W2905242764","https://openalex.org/W3109411864","https://openalex.org/W4308507533","https://openalex.org/W2407107767","https://openalex.org/W2901787049","https://openalex.org/W2792181990"],"abstract_inverted_index":{"Superpixel":[0],"segmentation":[1,47,56,116,321],"algorithms":[2,51,76,334],"are":[3,85],"widely":[4],"used":[5],"in":[6,35,89,215,220,275],"the":[7,14,19,27,90,98,129,149,153,170,173,184,189,196,200,203,224,243,251,261,267,278,286,303,313,331,336],"image":[8,30,94,131,263,345],"processing":[9,346],"field.":[10],"The":[11,142,207,270],"size":[12,28],"of":[13,21,29,57,93,159,202,231,260,277],"large-scale":[15,58,344],"images":[16,59],"usually":[17,83],"exceeds":[18],"memory":[20],"a":[22,61,65,79,107,112,119],"single":[23],"machine":[24],"given":[25],"that":[26,285],"data":[31],"has":[32],"increased":[33],"rapidly":[34],"recent":[36],"years.":[37],"This":[38],"leads":[39],"to":[40,72,78,105,166,183,222,234,246,302,335],"big":[41],"challenges":[42],"for":[43,308,319,329,343],"implementing":[44],"sequential":[45,74,113,333],"superpixel":[46,75,115,320],"methods,":[48],"although":[49],"these":[50],"have":[52],"good":[53],"scalability.":[54],"Additionally,":[55],"over":[60,118],"distributed":[62,80,108,120,271,337],"cluster":[63,121,154,205,211],"is":[64,70,104,297,316],"feasible":[66],"solution.":[67],"Nevertheless,":[68],"it":[69],"challenging":[71],"transplant":[73],"directly":[77],"environment,":[81],"as":[82],"there":[84],"incomplete":[86,99,236],"object":[87,100],"problems":[88],"border":[91],"area":[92],"tiles.":[95,141,168],"To":[96],"overcome":[97],"problems,":[101],"one":[102],"approach":[103],"build":[106],"strategy":[109,241,272,288,315],"based":[110],"on":[111],"SLIC":[114,150,197],"algorithm":[117,198],"organized":[122],"by":[123,148,195],"Apache":[124],"Spark.":[125],"In":[126,323],"our":[127],"research,":[128],"decomposed":[130],"tiles":[132,138,144,161,175,181,192,217,226],"were":[133,145,162,193,213,254],"divided":[134],"into":[135],"two":[136],"categories\u2014even":[137],"and":[139,156,164,187,218,250,280,339],"odd":[140,167,174,191,225],"even":[143,160,180,216],"first":[146],"segmented":[147,194],"algorithm,":[151],"then":[152,188],"centers":[155,212],"buffer":[157,185],"sizes":[158],"extracted":[163],"switched":[165],"During":[169],"shuffle":[171,252],"stage,":[172],"acquired":[176],"pixels":[177],"from":[178],"adjacent":[179],"according":[182],"sizes,":[186],"buffered":[190],"with":[199,209],"help":[201],"shared":[204,210,244],"centers.":[206],"superpixels":[208,237],"generated":[214],"remained":[219],"order":[221],"enlarge":[223],"rather":[227],"than":[228],"redundant":[229],"computing":[230],"specific":[232],"areas":[233],"modify":[235],"well.":[238],"Specifically,":[239],"this":[240,325],"employs":[242],"variables":[245],"transmit":[247],"intermediate":[248],"results":[249],"operations":[253],"carried":[255],"out":[256],"among":[257],"approximately":[258],"half":[259],"entire":[262],"tiles,":[264],"which":[265,283],"reduces":[266],"communications":[268],"further.":[269],"was":[273],"evaluated":[274],"terms":[276],"accuracy":[279],"execution":[281],"efficiency,":[282],"revealed":[284],"proposed":[287,314],"could":[289],"not":[290],"only":[291],"get":[292],"better":[293],"F-measure":[294],"values":[295],"but":[296],"also":[298],"implemented":[299],"faster":[300],"relative":[301],"repeat":[304],"calculation":[305,310],"strategy,":[306],"especially":[307],"limited":[309],"resources.":[311],"Therefore,":[312],"more":[317,341],"suitable":[318],"algorithms.":[322],"addition,":[324],"research":[326],"accumulates":[327],"experience":[328],"expanding":[330],"abundant":[332],"environment":[338],"provides":[340],"solutions":[342],"demands.":[347]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}