{"id":"https://openalex.org/W2018855473","doi":"https://doi.org/10.3233/mis-130158","title":"A Mobile Picture Tagging System Using Tree-Structured Layered Bayesian Networks","display_name":"A Mobile Picture Tagging System Using Tree-Structured Layered Bayesian Networks","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2018855473","doi":"https://doi.org/10.3233/mis-130158","mag":"2018855473"},"language":"en","primary_location":{"id":"pmh:oai:doaj.org/article:6a1c04111ffe4d7d8b07cedf5999b55e","is_oa":false,"landing_page_url":"https://doaj.org/article/6a1c04111ffe4d7d8b07cedf5999b55e","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mobile Information Systems, Vol 9, Iss 3, Pp 209-224 (2013)","raw_type":"article"},"type":"article","indexed_in":["doaj"],"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/A5000476142","display_name":"Young-Seol Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Seol Lee","raw_affiliation_strings":["Soft Computing Laboratory, Department of Computer Science, Yonsei University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soft Computing Laboratory, Department of Computer Science, Yonsei University, Seoul, Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108081550","display_name":"Sung\u2010Bae Cho","orcid":"https://orcid.org/0000-0002-7027-2429"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Bae Cho","raw_affiliation_strings":["Soft Computing Laboratory, Department of Computer Science, Yonsei University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soft Computing Laboratory, Department of Computer Science, Yonsei University, Seoul, Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":1.0879,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.80239986,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9998000264167786,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9998000264167786,"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":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9966999888420105,"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":0.8599114418029785},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.8168375492095947},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5799933671951294},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5795760750770569},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.5754279494285583},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5298539996147156},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5019669532775879},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49300262331962585},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.46377649903297424},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4619927704334259},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.41675978899002075},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34316933155059814},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3405503034591675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3301811218261719}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8599114418029785},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.8168375492095947},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5799933671951294},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5795760750770569},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.5754279494285583},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5298539996147156},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5019669532775879},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49300262331962585},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.46377649903297424},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4619927704334259},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.41675978899002075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34316933155059814},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3405503034591675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3301811218261719},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:doaj.org/article:6a1c04111ffe4d7d8b07cedf5999b55e","is_oa":false,"landing_page_url":"https://doaj.org/article/6a1c04111ffe4d7d8b07cedf5999b55e","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mobile Information Systems, Vol 9, Iss 3, Pp 209-224 (2013)","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1499005519","https://openalex.org/W1540027284","https://openalex.org/W1590736827","https://openalex.org/W1860934481","https://openalex.org/W1974145285","https://openalex.org/W1986008061","https://openalex.org/W2017295546","https://openalex.org/W2020014190","https://openalex.org/W2022581442","https://openalex.org/W2023166317","https://openalex.org/W2033500313","https://openalex.org/W2033639361","https://openalex.org/W2035553945","https://openalex.org/W2049073556","https://openalex.org/W2062258476","https://openalex.org/W2068874033","https://openalex.org/W2076652358","https://openalex.org/W2085876297","https://openalex.org/W2092011803","https://openalex.org/W2102793599","https://openalex.org/W2104825706","https://openalex.org/W2107925163","https://openalex.org/W2113056774","https://openalex.org/W2117696503","https://openalex.org/W2117949573","https://openalex.org/W2120665002","https://openalex.org/W2126808427","https://openalex.org/W2130660124","https://openalex.org/W2131938770","https://openalex.org/W2135457062","https://openalex.org/W2136922479","https://openalex.org/W2149855165","https://openalex.org/W2157901742","https://openalex.org/W2158313620","https://openalex.org/W2172231696","https://openalex.org/W2285309463","https://openalex.org/W2397866408","https://openalex.org/W3150566243"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W1533177136","https://openalex.org/W4380994516","https://openalex.org/W2251519152"],"abstract_inverted_index":{"Advances":[0],"in":[1,7],"digital":[2],"media":[3],"technology":[4],"have":[5],"increased":[6],"multimedia":[8,24],"content.":[9,25],"Tagging":[10],"is":[11,102,127],"one":[12],"of":[13,23,63,97,117],"the":[14,61,64,67,95,113],"most":[15],"effective":[16],"methods":[17],"to":[18,49,59,76,82,129],"manage":[19],"a":[20,54,108,122],"great":[21],"volume":[22],"However,":[26],"manual":[27],"tagging":[28,47],"has":[29],"limitations":[30],"such":[31],"as":[32],"human":[33],"fatigue":[34],"and":[35,37,90,115,131,135],"subjective":[36],"ambiguous":[38],"keywords.":[39],"In":[40,57,74],"this":[41,79,98],"paper,":[42],"we":[43],"present":[44],"an":[45,100],"automatic":[46],"method":[48,68],"generate":[50],"semantic":[51],"annotation":[52],"on":[53],"mobile":[55,65],"phone.":[56],"order":[58],"overcome":[60],"constraints":[62],"environment,":[66],"uses":[69],"two":[70],"layered":[71],"Bayesian":[72],"networks.":[73],"contrast":[75],"existing":[77],"techniques,":[78],"approach":[80],"attempts":[81],"design":[83],"probabilistic":[84],"models":[85],"with":[86,104],"fixed":[87],"tree":[88],"structures":[89],"intermediate":[91],"nodes.":[92],"To":[93],"evaluate":[94,132],"performance":[96],"method,":[99],"experiment":[101],"conducted":[103],"data":[105],"collected":[106],"over":[107],"month.":[109],"The":[110],"result":[111],"shows":[112],"efficiency":[114],"effectiveness":[116],"our":[118],"proposed":[119],"method.":[120],"Furthermore,":[121],"simple":[123],"graphic":[124],"user":[125],"interface":[126],"developed":[128],"visualize":[130],"recognized":[133],"activities":[134],"probabilities.":[136]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-05-06T06:03:25.996018","created_date":"2025-10-10T00:00:00"}