{"id":"https://openalex.org/W2847413819","doi":"https://doi.org/10.2352/issn.2470-1173.2018.2.vipc-173","title":"Event Recognition in Personal Photo Collections: An Active Learning Approach","display_name":"Event Recognition in Personal Photo Collections: An Active Learning Approach","publication_year":2018,"publication_date":"2018-01-28","ids":{"openalex":"https://openalex.org/W2847413819","doi":"https://doi.org/10.2352/issn.2470-1173.2018.2.vipc-173","mag":"2847413819"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2018.2.vipc-173","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2018.2.vipc-173","pdf_url":"https://library.imaging.org/ei/articles/30/2/art00006","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://library.imaging.org/ei/articles/30/2/art00006","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054978804","display_name":"Kashif Ahmad","orcid":"https://orcid.org/0000-0002-0931-9275"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Kashif Ahmad","raw_affiliation_strings":["University of Trento; Trento, Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento; Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078980808","display_name":"Mohamed Lamine Mekhalfi","orcid":"https://orcid.org/0000-0002-4295-0974"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mohamed Lamine Mekhalfi","raw_affiliation_strings":["University of Trento; Trento, Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento; Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073436476","display_name":"Nicola Conci","orcid":"https://orcid.org/0000-0002-7858-0928"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicola Conci","raw_affiliation_strings":["University of Trento; Trento, Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento; Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054978804"],"corresponding_institution_ids":["https://openalex.org/I193223587"],"apc_list":null,"apc_paid":null,"fwci":0.5223,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70542791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"30","issue":"2","first_page":"173","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9485999941825867,"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":0.9485999941825867,"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":0.9476000070571899,"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":0.736901581287384},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6973732709884644},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.674180805683136},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6163296103477478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5383535027503967},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4755108952522278},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44155049324035645},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3413892984390259}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.736901581287384},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6973732709884644},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.674180805683136},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6163296103477478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5383535027503967},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4755108952522278},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44155049324035645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3413892984390259},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2352/issn.2470-1173.2018.2.vipc-173","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2018.2.vipc-173","pdf_url":"https://library.imaging.org/ei/articles/30/2/art00006","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},{"id":"pmh:oai:iris.unitn.it:11572/226023","is_oa":true,"landing_page_url":"https://www.ingentaconnect.com/content/ist/ei/2018/00002018/00000002/art00006","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.2352/issn.2470-1173.2018.2.vipc-173","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2018.2.vipc-173","pdf_url":"https://library.imaging.org/ei/articles/30/2/art00006","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2847413819.pdf","grobid_xml":"https://content.openalex.org/works/W2847413819.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1900913856","https://openalex.org/W1954814386","https://openalex.org/W2101086341","https://openalex.org/W2119605622","https://openalex.org/W2121981382","https://openalex.org/W2134670479","https://openalex.org/W2169917630","https://openalex.org/W2185142735","https://openalex.org/W2390960427","https://openalex.org/W2506034112","https://openalex.org/W2755077183","https://openalex.org/W2755460504","https://openalex.org/W2756682825","https://openalex.org/W2771415089","https://openalex.org/W2774411652","https://openalex.org/W2775502908","https://openalex.org/W2903158431","https://openalex.org/W3091174939","https://openalex.org/W6674950405","https://openalex.org/W6677865758","https://openalex.org/W6677885332","https://openalex.org/W6744138161","https://openalex.org/W6744553548","https://openalex.org/W6756615331","https://openalex.org/W6759201172"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2001652754","https://openalex.org/W2549006548","https://openalex.org/W4214932115","https://openalex.org/W2807311372","https://openalex.org/W4211088005","https://openalex.org/W3043252291","https://openalex.org/W2379065761","https://openalex.org/W2972035100","https://openalex.org/W2784352036"],"abstract_inverted_index":{"In":[0,57],"this":[1],"paper,":[2],"we":[3,60],"propose":[4],"an":[5,105],"active":[6,67],"learning":[7,42,68],"based":[8],"approach":[9],"to":[10,17,22,54,62,69],"event":[11,92],"recognition":[12,93],"in":[13,33,49,90,113,144,150],"personal":[14,34,132,151],"photo":[15,35,133,152],"collections":[16],"tackle":[18],"the":[19,23,28,46,64,71,85,91,98,108,114,138,145],"challenges":[20],"due":[21],"weakly":[24],"labeled":[25],"data,":[26],"and":[27,78,95],"presence":[29,146],"of":[30,66,87,127,131,147],"irrelevant":[31,109,148],"pictures":[32],"collections.":[36],"Conventional":[37],"approaches":[38],"relying":[39],"on":[40,122],"supervised":[41],"can":[43],"not":[44],"identify":[45],"relevant":[47,73,88],"samples":[48,74],"training":[50],"albums,":[51],"often":[52],"leading":[53,156],"wrong":[55],"classification.":[56],"our":[58],"work,":[59],"aim":[61],"utilize":[63],"concepts":[65],"choose":[70],"most":[72],"from":[75,104],"a":[76,80,123,128],"collection":[77],"train":[79],"classifier.":[81],"We":[82,135],"also":[83],"investigate":[84],"importance":[86],"images":[89,103,149],"process,":[94],"show":[96],"how":[97],"performance":[99],"degrades":[100],"if":[101],"all":[102],"album,":[106],"containing":[107],"ones,":[110],"are":[111],"included":[112],"process.":[115],"The":[116],"experimental":[117],"evaluation":[118],"is":[119],"carried":[120],"out":[121],"benchmark":[124],"dataset":[125],"composed":[126],"large":[129],"number":[130],"albums.":[134],"demonstrate":[136],"that":[137],"proposed":[139],"strategy":[140],"yields":[141],"encouraging":[142],"scores":[143],"collections,":[153],"advancing":[154],"recent":[155],"works.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}