{"id":"https://openalex.org/W2073336679","doi":"https://doi.org/10.1145/1529282.1529683","title":"A smart clustering algorithm for photo set obtained from multiple digital cameras","display_name":"A smart clustering algorithm for photo set obtained from multiple digital cameras","publication_year":2009,"publication_date":"2009-03-08","ids":{"openalex":"https://openalex.org/W2073336679","doi":"https://doi.org/10.1145/1529282.1529683","mag":"2073336679"},"language":"en","primary_location":{"id":"doi:10.1145/1529282.1529683","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1529282.1529683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2009 ACM symposium on Applied Computing","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/A5066662604","display_name":"Chuljin Jang","orcid":null},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chuljin Jang","raw_affiliation_strings":["Pusan National University, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pusan National University, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042843142","display_name":"Taijin Yoon","orcid":null},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taijin Yoon","raw_affiliation_strings":["Pusan National University, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pusan National University, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008167944","display_name":"Hwan-Gue Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hwan-Gue Cho","raw_affiliation_strings":["Pusan National University, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pusan National University, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5988,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.95160748,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1784","last_page":"1791"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9997000098228455,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9968000054359436,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8723713159561157},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8000010848045349},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.64287269115448},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5776786804199219},{"id":"https://openalex.org/keywords/digital-photography","display_name":"Digital photography","score":0.4921411871910095},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.475301593542099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46043696999549866},{"id":"https://openalex.org/keywords/digital-camera","display_name":"Digital camera","score":0.4215567111968994},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4171944856643677},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3321005403995514},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3305051922798157},{"id":"https://openalex.org/keywords/photography","display_name":"Photography","score":0.22520387172698975},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15942266583442688}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8723713159561157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8000010848045349},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.64287269115448},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5776786804199219},{"id":"https://openalex.org/C16282426","wikidata":"https://www.wikidata.org/wiki/Q173095","display_name":"Digital photography","level":3,"score":0.4921411871910095},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.475301593542099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46043696999549866},{"id":"https://openalex.org/C2779705975","wikidata":"https://www.wikidata.org/wiki/Q62927","display_name":"Digital camera","level":2,"score":0.4215567111968994},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4171944856643677},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3321005403995514},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3305051922798157},{"id":"https://openalex.org/C119657128","wikidata":"https://www.wikidata.org/wiki/Q11633","display_name":"Photography","level":2,"score":0.22520387172698975},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15942266583442688},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1529282.1529683","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1529282.1529683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2009 ACM symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7388817347","display_name":null,"funder_award_id":"2008-F-031-01","funder_id":"https://openalex.org/F4320322006","funder_display_name":"Ministry of Culture, Sports and Tourism"}],"funders":[{"id":"https://openalex.org/F4320322006","display_name":"Ministry of Culture, Sports and Tourism","ror":"https://ror.org/02fkk6k65"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W127628839","https://openalex.org/W1979572481","https://openalex.org/W1994377390","https://openalex.org/W2060389181","https://openalex.org/W2077935355","https://openalex.org/W2121437678","https://openalex.org/W2125007975","https://openalex.org/W2133268862","https://openalex.org/W2155305127","https://openalex.org/W2157993189","https://openalex.org/W2162661274","https://openalex.org/W2166967374","https://openalex.org/W2167572844","https://openalex.org/W2295621896","https://openalex.org/W3152412763"],"related_works":["https://openalex.org/W2389096860","https://openalex.org/W2083937034","https://openalex.org/W1516998513","https://openalex.org/W2388721895","https://openalex.org/W2737906800","https://openalex.org/W2380130271","https://openalex.org/W2061201974","https://openalex.org/W2367044245","https://openalex.org/W2142815151","https://openalex.org/W4248106235"],"abstract_inverted_index":{"The":[0,155],"use":[1],"of":[2,10,61,83],"digital":[3,11,17,29,41],"cameras":[4,66,89],"is":[5,13,19,31],"prevalent.":[6],"Although":[7],"the":[8,81,130,137],"cost":[9],"photographs":[12],"low,":[14],"managing":[15],"numerous":[16],"photos":[18,30,42,62,85,150],"burdensome":[20],"to":[21,55,70,90,129,161],"most":[22],"users.":[23],"An":[24],"intelligent":[25],"management":[26],"tool":[27],"for":[28,39,80,103],"needed.":[32],"We":[33,74,94,144],"propose":[34],"a":[35,56,59,96,108],"novel":[36],"clustering":[37,50,79,112,132],"algorithm":[38],"concurrent":[40],"obtained":[43,63],"from":[44,64,87],"multiple":[45],"cameras.":[46],"Since":[47],"previous":[48,162],"photo":[49,111,126],"methods":[51,163],"can":[52,123],"be":[53,68],"applied":[54],"single":[57],"camera,":[58],"group":[60,84],"different":[65,88],"cannot":[67],"classified":[69],"meet":[71],"user":[72,109],"preference.":[73],"newly":[75],"define":[76,95],"temporal/spatial":[77],"combined":[78],"set":[82],"taken":[86,151],"solve":[91],"this":[92,135],"situation.":[93],"new":[97],"spatial":[98,117],"similarity":[99],"using":[100],"block":[101],"alignment":[102],"two":[104],"independent":[105],"photos.":[106],"If":[107],"submits":[110],"that":[113],"shows":[114],"preference":[115],"between":[116],"and":[118],"temporal":[119,166],"clustering,":[120],"then":[121],"we":[122],"cluster":[124],"other":[125],"sets":[127],"according":[128],"reference":[131],"characteristics.":[133],"In":[134],"method,":[136],"EXIF":[138],"metadata":[139],"plays":[140],"an":[141],"essential":[142],"role.":[143],"tested":[145],"more":[146],"than":[147],"one":[148],"thousand":[149],"by":[152],"tourist":[153],"groups.":[154],"final":[156],"result":[157],"was":[158],"satisfactory":[159],"compared":[160],"based":[164],"on":[165],"(spatial)":[167],"criteria":[168],"only.":[169]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}