{"id":"https://openalex.org/W1995598065","doi":"https://doi.org/10.1145/1460676.1460685","title":"An exploratory study on joint analysis of visual classification in narrow domains and the discriminative power of tags","display_name":"An exploratory study on joint analysis of visual classification in narrow domains and the discriminative power of tags","publication_year":2008,"publication_date":"2008-10-31","ids":{"openalex":"https://openalex.org/W1995598065","doi":"https://doi.org/10.1145/1460676.1460685","mag":"1995598065"},"language":"en","primary_location":{"id":"doi:10.1145/1460676.1460685","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1460676.1460685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM workshop on Multimedia semantics","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/A5073925867","display_name":"Oge Marques","orcid":"https://orcid.org/0000-0003-4321-2719"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Oge Marques","raw_affiliation_strings":["Florida Atlantic University, Boca Raton, FL, USA","Florida Atlantic University, Boca Raton, FL USA"],"affiliations":[{"raw_affiliation_string":"Florida Atlantic University, Boca Raton, FL, USA","institution_ids":["https://openalex.org/I63772739"]},{"raw_affiliation_string":"Florida Atlantic University, Boca Raton, FL USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084891658","display_name":"Mathias Lux","orcid":"https://orcid.org/0000-0002-8688-6388"},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]},{"id":"https://openalex.org/I134023368","display_name":"Institute for Interdisciplinary Studies of Austrian Universities","ror":"https://ror.org/001zf8v27","country_code":"AT","type":"education","lineage":["https://openalex.org/I134023368","https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Mathias Lux","raw_affiliation_strings":["Klagenfurt University, Klagenfurt, Austria","[Klagenfurt University, Klagenfurt, Austria]"],"affiliations":[{"raw_affiliation_string":"Klagenfurt University, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]},{"raw_affiliation_string":"[Klagenfurt University, Klagenfurt, Austria]","institution_ids":["https://openalex.org/I134023368"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073925867"],"corresponding_institution_ids":["https://openalex.org/I63772739"],"apc_list":null,"apc_paid":null,"fwci":1.0535,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78335799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"40","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9988999962806702,"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":0.9908999800682068,"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":0.7536708116531372},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6924569606781006},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6407467126846313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.538210391998291},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5272830128669739},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5193263292312622},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47290241718292236},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.45207855105400085},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4125220775604248},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4074646234512329},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3871317505836487},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20558035373687744},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15892720222473145}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7536708116531372},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6924569606781006},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6407467126846313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.538210391998291},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5272830128669739},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5193263292312622},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47290241718292236},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.45207855105400085},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4125220775604248},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4074646234512329},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3871317505836487},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20558035373687744},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15892720222473145},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1460676.1460685","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1460676.1460685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM workshop on Multimedia semantics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W339545634","https://openalex.org/W643612313","https://openalex.org/W1548256243","https://openalex.org/W1566135517","https://openalex.org/W1576629314","https://openalex.org/W1630954580","https://openalex.org/W1965067550","https://openalex.org/W1968702067","https://openalex.org/W1984910340","https://openalex.org/W1990843604","https://openalex.org/W2018377917","https://openalex.org/W2055838835","https://openalex.org/W2085089160","https://openalex.org/W2096674001","https://openalex.org/W2102775690","https://openalex.org/W2104713579","https://openalex.org/W2107756083","https://openalex.org/W2108408926","https://openalex.org/W2111993661","https://openalex.org/W2124916819","https://openalex.org/W2130660124","https://openalex.org/W2134311673","https://openalex.org/W2136951832","https://openalex.org/W2148698197","https://openalex.org/W2152203232","https://openalex.org/W2164898661","https://openalex.org/W2165123786","https://openalex.org/W2916592590","https://openalex.org/W4235129407"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W1487808658","https://openalex.org/W2761785940","https://openalex.org/W2129933262","https://openalex.org/W2005234362","https://openalex.org/W1997235926"],"abstract_inverted_index":{"The":[0],"popularity":[1],"of":[2,15,20,31,41,62,78,91,97,104,113],"social":[3],"media":[4],"sharing":[5],"sites":[6],"such":[7,32],"as":[8,48],"Flickr":[9],"has":[10],"driven":[11],"a":[12,63,70,79,94,110,135,144],"significant":[13],"amount":[14],"research":[16],"on":[17,59],"the":[18,24,39,60,76,86,102,141],"analysis":[19,96],"information":[21],"contained":[22],"in":[23,65],"tags":[25,33,92,148],"used":[26],"to":[27,37,88],"annotate":[28],"images.":[29],"Many":[30],"are":[34,45],"not":[35,49],"useful":[36],"describe":[38],"contents":[40],"an":[42,66,105,154],"image":[43,155],"and":[44,74,101,132],"often":[46],"labeled":[47],"descriptive":[50],"or":[51,119],"even":[52],"noisy.":[53],"In":[54],"this":[55],"work":[56],"we":[57],"focus":[58],"descriptiveness":[61,90],"tag":[64,98,117,120],"exploratory":[67],"way,":[68],"within":[69],"relatively":[71],"narrow":[72],"domain,":[73],"with":[75,109],"help":[77],"visual":[80,107],"classifier.":[81],"Preliminary":[82],"experimental":[83],"results":[84,103],"demonstrate":[85],"possibility":[87],"infer":[89],"from":[93,156],"joint":[95],"entropy":[99],"calculations":[100],"automated":[106],"classifier":[108],"limited":[111],"number":[112],"classes":[114],"without":[115],"taking":[116],"content":[118],"co-occurrence":[121],"into":[122],"account.":[123],"We":[124],"postulate":[125],"that":[126,138,157],"these":[127],"experiments":[128],"can":[129],"be":[130],"extended":[131],"improved":[133],"toward":[134],"working":[136],"solution":[137],"might":[139],"answer":[140],"question:":[142],"Given":[143],"semantic":[145],"category,":[146],"which":[147],"would":[149],"you":[150],"use":[151],"for":[152],"searching":[153],"category?":[158]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
