{"id":"https://openalex.org/W2137993786","doi":"https://doi.org/10.1145/1509212.1509214","title":"Combining image captions and visual analysis for image concept classification","display_name":"Combining image captions and visual analysis for image concept classification","publication_year":2008,"publication_date":"2008-08-24","ids":{"openalex":"https://openalex.org/W2137993786","doi":"https://doi.org/10.1145/1509212.1509214","mag":"2137993786"},"language":"en","primary_location":{"id":"doi:10.1145/1509212.1509214","doi":"https://doi.org/10.1145/1509212.1509214","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1509212.1509214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Workshop on Multimedia Data Mining: held in conjunction with the ACM SIGKDD 2008","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5008712376","display_name":"Tom\u00e1\u0161 Kliegr","orcid":"https://orcid.org/0000-0002-7261-0380","observed_orcids":["https://orcid.org/0000-0002-7261-0380"]},"institutions":[{"id":"https://openalex.org/I35913352","display_name":"Prague University of Economics and Business","ror":"https://ror.org/029ecwj92","country_code":"CZ","type":"education","lineage":["https://openalex.org/I35913352"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Tomas Kliegr","raw_affiliation_strings":["University of Economics, Prague"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Economics, Prague","institution_ids":["https://openalex.org/I35913352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065549868","display_name":"Krishna Chandramouli","orcid":"https://orcid.org/0000-0001-5850-9799","observed_orcids":["https://orcid.org/0000-0001-5850-9799"]},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Krishna Chandramouli","raw_affiliation_strings":["Queen Mary University, London, United Kingdom","Queen Mary University, London, United Kingdom#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen Mary University, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Queen Mary University, London, United Kingdom#TAB#","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039751694","display_name":"Jan Nemrava","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I35913352","display_name":"Prague University of Economics and Business","ror":"https://ror.org/029ecwj92","country_code":"CZ","type":"education","lineage":["https://openalex.org/I35913352"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Jan Nemrava","raw_affiliation_strings":["University of Economics, Prague"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Economics, Prague","institution_ids":["https://openalex.org/I35913352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070290151","display_name":"Vojt\u011bch Sv\u00e1tek","orcid":"https://orcid.org/0000-0002-2256-2982","observed_orcids":["https://orcid.org/0000-0002-2256-2982"]},"institutions":[{"id":"https://openalex.org/I35913352","display_name":"Prague University of Economics and Business","ror":"https://ror.org/029ecwj92","country_code":"CZ","type":"education","lineage":["https://openalex.org/I35913352"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Vojtech Svatek","raw_affiliation_strings":["University of Economics, Prague"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Economics, Prague","institution_ids":["https://openalex.org/I35913352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058530878","display_name":"Ebroul Izquierdo M.","orcid":"https://orcid.org/0000-0002-7142-3970","observed_orcids":["https://orcid.org/0000-0002-7142-3970"]},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ebroul Izquierdo","raw_affiliation_strings":["Queen Mary University, London, United Kingdom","Queen Mary University, London, United Kingdom#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen Mary University, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Queen Mary University, London, United Kingdom#TAB#","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1744,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.88760464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"8","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.6195999979972839,"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":0.6195999979972839,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.319599986076355,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.00989999994635582,"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/image-captioning","display_name":"image captioning","score":0.875},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.8220000267028809},{"id":"https://openalex.org/keywords/unsupervised-classification","display_name":"unsupervised classification","score":0.7919999957084656},{"id":"https://openalex.org/keywords/multimodal-fusion","display_name":"multimodal fusion","score":0.7200000286102295},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"image segmentation","score":0.5879999995231628}],"concepts":[{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.9300365447998047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8122166991233826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6023105978965759},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5765833854675293},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5407360792160034},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5029320120811462},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4978814125061035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4927580654621124},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3935917019844055}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1509212.1509214","doi":"https://doi.org/10.1145/1509212.1509214","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1509212.1509214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Workshop on Multimedia Data Mining: held in conjunction with the ACM SIGKDD 2008","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.219.3330","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.219.3330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://nb.vse.cz/~svatek/mdm08.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G6310584912","display_name":"Applications of Methods of Knowledge Engineering in Data Mining","funder_award_id":"GA201/08/0802","funder_id":"https://openalex.org/F4320321006","funder_display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321006","display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky","ror":"https://ror.org/01pv73b02"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W4508078","https://openalex.org/W40091524","https://openalex.org/W170684085","https://openalex.org/W1502473750","https://openalex.org/W1526936404","https://openalex.org/W1532684463","https://openalex.org/W1538372379","https://openalex.org/W1555354714","https://openalex.org/W1623072288","https://openalex.org/W1969228515","https://openalex.org/W1994488383","https://openalex.org/W2022166150","https://openalex.org/W2064657468","https://openalex.org/W2068737686","https://openalex.org/W2075204839","https://openalex.org/W2096765155","https://openalex.org/W2109506130","https://openalex.org/W2115294179","https://openalex.org/W2115786526","https://openalex.org/W2127128140","https://openalex.org/W2128809169","https://openalex.org/W2135116272","https://openalex.org/W2136930489","https://openalex.org/W2141000440","https://openalex.org/W2142086811","https://openalex.org/W2144108169","https://openalex.org/W2149684865","https://openalex.org/W2165542474","https://openalex.org/W2601715878","https://openalex.org/W3151019514"],"related_works":["https://openalex.org/W2086478842","https://openalex.org/W2289549545","https://openalex.org/W7098672899","https://openalex.org/W3026335031","https://openalex.org/W3126589408","https://openalex.org/W7099181742","https://openalex.org/W2105130211","https://openalex.org/W7096539981","https://openalex.org/W7096230423","https://openalex.org/W1498174792"],"abstract_inverted_index":{"We":[0,73],"present":[1],"a":[2,10,34,92,131,140],"framework":[3],"for":[4],"efficiently":[5],"exploiting":[6,44],"free-text":[7,132],"annotations":[8],"as":[9],"complementary":[11],"resource":[12],"to":[13,26,33,61,69],"image":[14],"classification.":[15],"A":[16],"novel":[17],"approach":[18],"called":[19],"Semantic":[20],"Concept":[21],"Mapping":[22],"(SCM)":[23],"is":[24],"used":[25],"classify":[27],"entities":[28,49,64],"occurring":[29],"in":[30,51,71],"the":[31,45,52,67,76,84,105,123,128,148],"text":[32,68],"custom-defined":[35],"set":[36],"of":[37,78,86,112,118,122,130,143],"concepts.":[38],"SCM":[39,55,115],"performs":[40],"unsupervised":[41],"classification":[42,93],"by":[43],"relations":[46],"between":[47],"common":[48],"codified":[50],"Wordnet":[53],"thesaurus.":[54],"exploits":[56],"Targeted":[57],"Hypernym":[58],"Discovery":[59],"(THD)":[60],"map":[62],"unknown":[63],"extracted":[65],"from":[66,101],"concepts":[70],"Wordnet.":[72],"show":[74],"how":[75],"result":[77],"SCM/THD":[79,136],"can":[80],"be":[81],"fused":[82],"with":[83,126],"outcome":[85],"Knowledge":[87],"Assisted":[88],"Image":[89],"Analysis":[90],"(KAA),":[91],"algorithm":[94],"that":[95],"extracts":[96],"and":[97,114,133,145,150],"labels":[98],"multiple":[99],"segments":[100],"an":[102,110,116],"image.":[103],"In":[104,120],"experimental":[106],"evaluation,":[107],"THD":[108],"achieved":[109,139],"accuracy":[111,117],"75%,":[113],"52%.":[119],"one":[121],"first":[124],"experiments":[125],"fusing":[127],"results":[129],"image-content":[134],"classifier,":[135],"+":[137],"KAA":[138],"relative":[141],"improvement":[142],"49%":[144],"31%":[146],"over":[147],"text-only":[149],"image-content-only":[151],"baselines.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":6}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2016-06-24T00:00:00"}