{"id":"https://openalex.org/W1535920808","doi":"https://doi.org/10.1109/icsmc.2003.1243894","title":"A self-adaptive automatic albuming system","display_name":"A self-adaptive automatic albuming system","publication_year":2004,"publication_date":"2004-06-22","ids":{"openalex":"https://openalex.org/W1535920808","doi":"https://doi.org/10.1109/icsmc.2003.1243894","mag":"1535920808"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2003.1243894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2003.1243894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)","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/A5033205938","display_name":"Guanghuan Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghuan Hu","raw_affiliation_strings":["College of Computer Science, University of Zhejiang, Hangzhou, China","College of Computer Science, Zhejiang University,,,Hangzhou,,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, University of Zhejiang, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science, Zhejiang University,,,Hangzhou,,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373367","display_name":"Chun Chen","orcid":"https://orcid.org/0000-0002-6198-7481"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Chen","raw_affiliation_strings":["College of Computer Science, University of Zhejiang, Hangzhou, China","College of Computer Science, Zhejiang University,,,Hangzhou,,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, University of Zhejiang, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science, Zhejiang University,,,Hangzhou,,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052757755","display_name":"Jiajun Bu","orcid":"https://orcid.org/0000-0002-1097-2044"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Bu","raw_affiliation_strings":["College of Computer Science, University of Zhejiang, Hangzhou, China","College of Computer Science, Zhejiang University,,,Hangzhou,,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, University of Zhejiang, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science, Zhejiang University,,,Hangzhou,,China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04975396,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"684","last_page":"689"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9901000261306763,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9901000261306763,"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/computer-science","display_name":"Computer science","score":0.8064116835594177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5403379201889038},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5342625379562378},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5329253077507019},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4855441749095917},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.47660937905311584},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4470248520374298},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.43292197585105896},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36787885427474976},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.11629605293273926}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8064116835594177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5403379201889038},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5342625379562378},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5329253077507019},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4855441749095917},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.47660937905311584},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4470248520374298},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.43292197585105896},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36787885427474976},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.11629605293273926}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2003.1243894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2003.1243894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"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":16,"referenced_works":["https://openalex.org/W1872580920","https://openalex.org/W1971784203","https://openalex.org/W2053295144","https://openalex.org/W2064657468","https://openalex.org/W2070041365","https://openalex.org/W2104825706","https://openalex.org/W2105568170","https://openalex.org/W2112442216","https://openalex.org/W2120603077","https://openalex.org/W2127370936","https://openalex.org/W2145158371","https://openalex.org/W2159220211","https://openalex.org/W2319660501","https://openalex.org/W4285719527","https://openalex.org/W4377836585","https://openalex.org/W6770641979"],"related_works":["https://openalex.org/W2086889680","https://openalex.org/W4246466849","https://openalex.org/W3153505674","https://openalex.org/W2997511728","https://openalex.org/W4381745996","https://openalex.org/W2119349310","https://openalex.org/W2995276271","https://openalex.org/W4312478656","https://openalex.org/W1975547468","https://openalex.org/W3168126470"],"abstract_inverted_index":{"Classification":[0],"of":[1,93],"digital":[2],"photos":[3],"using":[4,90],"low-level":[5],"features":[6],"is":[7],"an":[8],"important":[9],"but":[10],"very":[11],"difficult":[12],"issue":[13],"in":[14],"many":[15],"applications":[16],"that":[17,100],"deal":[18],"with":[19],"consumer":[20,95],"photographs.":[21],"Previous":[22],"methods":[23,41],"for":[24,55,106],"image":[25],"classification":[26,33,57,75,108],"problems":[27,34],"always":[28,43],"aimed":[29],"at":[30],"some":[31,46],"specific":[32,47],"such":[35],"as":[36],"city":[37],"vs.":[38],"landscape.":[39],"These":[40],"were":[42,52],"based":[44,61],"on":[45,62],"ground":[48],"truths":[49],"and":[50,65,73,85],"they":[51],"not":[53],"suitable":[54],"general":[56,107],"problems.":[58,109],"A":[59],"system":[60,82],"Bayesian":[63],"framework":[64],"learning":[66],"mechanism":[67],"was":[68,83,88],"proposed.":[69],"The":[70,81],"most":[71],"effective":[72],"efficient":[74],"strategy":[76],"could":[77],"be":[78,104],"automatically":[79],"obtained.":[80],"implemented":[84],"performance":[86],"test":[87],"conducted":[89],"a":[91],"database":[92],"real":[94],"photos.":[96],"Experimental":[97],"results":[98],"show":[99],"high":[101],"accuracy":[102],"can":[103],"obtained":[105]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}