{"id":"https://openalex.org/W2278547440","doi":"https://doi.org/10.1109/icce-berlin.2015.7391314","title":"The study on large scale image processing architecture based on Hadoop2.0 clusters","display_name":"The study on large scale image processing architecture based on Hadoop2.0 clusters","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2278547440","doi":"https://doi.org/10.1109/icce-berlin.2015.7391314","mag":"2278547440"},"language":"en","primary_location":{"id":"doi:10.1109/icce-berlin.2015.7391314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-berlin.2015.7391314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 5th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5109385122","display_name":"Bong-Jin Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Bongjin Oh","raw_affiliation_strings":["Software Contents Laboratory, Electronics Telecommunications Research Institute, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software Contents Laboratory, Electronics Telecommunications Research Institute, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052518128","display_name":"Jongyoul Park","orcid":"https://orcid.org/0000-0002-4878-4129"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jongyoul Park","raw_affiliation_strings":["Software Contents Laboratory, Electronics Telecommunications Research Institute, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software Contents Laboratory, Electronics Telecommunications Research Institute, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023096953","display_name":"Sunggeun Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I9323808","display_name":"Daegu University","ror":"https://ror.org/01zqccq48","country_code":"KR","type":"education","lineage":["https://openalex.org/I9323808"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sunggeun Jin","raw_affiliation_strings":["School of Computer IT, Daegu University, Gyeongsan, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer IT, Daegu University, Gyeongsan, Korea","institution_ids":["https://openalex.org/I9323808"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.18024117,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"474","last_page":"475"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9577000141143799,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9435999989509583,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8385893106460571},{"id":"https://openalex.org/keywords/yarn","display_name":"Yarn","score":0.8138197064399719},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7276610732078552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5472545027732849},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5444941520690918},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5434747338294983},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.46448904275894165},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.457172691822052},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4412716031074524},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4035310447216034},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3882877230644226},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07256513833999634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8385893106460571},{"id":"https://openalex.org/C2778787235","wikidata":"https://www.wikidata.org/wiki/Q49007","display_name":"Yarn","level":2,"score":0.8138197064399719},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7276610732078552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5472545027732849},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5444941520690918},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5434747338294983},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.46448904275894165},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.457172691822052},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4412716031074524},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4035310447216034},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3882877230644226},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07256513833999634},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-berlin.2015.7391314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-berlin.2015.7391314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 5th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2291202727","https://openalex.org/W6696701828"],"related_works":["https://openalex.org/W2078851640","https://openalex.org/W2381070915","https://openalex.org/W2352481835","https://openalex.org/W2392493391","https://openalex.org/W4200164335","https://openalex.org/W2109471562","https://openalex.org/W2378508949","https://openalex.org/W3199747891","https://openalex.org/W2005234362","https://openalex.org/W1997235926"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"the":[3,37,62],"DeepView":[4,27],"platform":[5],"which":[6],"is":[7,41],"a":[8,18,44],"pilot":[9],"system":[10],"to":[11,33,52,78],"classify":[12],"large":[13],"scaled":[14],"images":[15,31],"collected":[16],"from":[17],"VMS":[19],"server":[20],"based":[21],"on":[22],"Hadoop":[23,68],"2.0":[24],"clusters.":[25],"Multiple":[26],"Classifier":[28,39],"tasks":[29,77],"analyze":[30],"simultaneously":[32],"detect":[34],"objects":[35],"in":[36],"images.":[38],"task":[40,47,51],"implemented":[42],"as":[43],"direct":[45],"YARN":[46,76],"instead":[48],"of":[49,67,83],"MapReduce":[50],"avoid":[53],"intensive":[54],"disk":[55],"I/O":[56],"and":[57],"limited":[58],"input":[59],"format.":[60],"Moreover,":[61],"small":[63],"data":[64],"access":[65,79],"problem":[66],"can":[69],"be":[70],"avoided":[71],"because":[72],"Application":[73],"Master":[74],"controls":[75],"only":[80],"local":[81],"blocks":[82],"image":[84,87],"files":[85],"before":[86],"classification":[88],"starts.":[89]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
