{"id":"https://openalex.org/W1982308177","doi":"https://doi.org/10.1145/2671188.2749319","title":"Information Gain Study for Visual Vocabulary Construction","display_name":"Information Gain Study for Visual Vocabulary Construction","publication_year":2015,"publication_date":"2015-06-22","ids":{"openalex":"https://openalex.org/W1982308177","doi":"https://doi.org/10.1145/2671188.2749319","mag":"1982308177"},"language":"en","primary_location":{"id":"doi:10.1145/2671188.2749319","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2671188.2749319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM on International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"preprint","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/A5107922194","display_name":"Huu Ton Le","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Huu Ton Le","raw_affiliation_strings":["XLIM Laboratory, UMR CNRS 7252, University of Poitiers, Poitiers, France","[XLIM Laboratory, UMR CNRS 7252, University of Poitiers, Poitiers, France]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"XLIM Laboratory, UMR CNRS 7252, University of Poitiers, Poitiers, France","institution_ids":["https://openalex.org/I32881790","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"[XLIM Laboratory, UMR CNRS 7252, University of Poitiers, Poitiers, France]","institution_ids":["https://openalex.org/I32881790","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007200760","display_name":"Syntyche Gb\u00e8hounou","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Syntyche Gb\u00e8hounou","raw_affiliation_strings":["XLIM Laboratory, UMR CNRS 7252, University of Poitiers, Poitiers, France","[XLIM Laboratory, UMR CNRS 7252, University of Poitiers, Poitiers, France]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"XLIM Laboratory, UMR CNRS 7252, University of Poitiers, Poitiers, France","institution_ids":["https://openalex.org/I32881790","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"[XLIM Laboratory, UMR CNRS 7252, University of Poitiers, Poitiers, France]","institution_ids":["https://openalex.org/I32881790","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050630249","display_name":"Thierry Urruty","orcid":"https://orcid.org/0000-0003-1339-1920"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thierry Urruty","raw_affiliation_strings":["XLIM Laboratory, UMR CNRS 7252, University of Poitiers, Poitiers, France","[XLIM Laboratory, UMR CNRS 7252, University of Poitiers, Poitiers, France]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"XLIM Laboratory, UMR CNRS 7252, University of Poitiers, Poitiers, France","institution_ids":["https://openalex.org/I32881790","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"[XLIM Laboratory, UMR CNRS 7252, University of Poitiers, Poitiers, France]","institution_ids":["https://openalex.org/I32881790","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031162010","display_name":"Fran\u00e7ois Lecellier","orcid":"https://orcid.org/0000-0003-4417-681X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fran\u00e7ois Lecellier","raw_affiliation_strings":["XLIM Laboratory, UMR CNRS 7252, University of Poitiers, Poitiers, France","[XLIM Laboratory, UMR CNRS 7252, University of Poitiers, Poitiers, France]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"XLIM Laboratory, UMR CNRS 7252, University of Poitiers, Poitiers, France","institution_ids":["https://openalex.org/I32881790","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"[XLIM Laboratory, UMR CNRS 7252, University of Poitiers, Poitiers, France]","institution_ids":["https://openalex.org/I32881790","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049637018","display_name":"Christine Fernandez","orcid":"https://orcid.org/0000-0003-2829-4808"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christine Fernandez","raw_affiliation_strings":["XLIM Laboratory, UMR CNRS 7252, University of Poitiers, Poitiers, France","[XLIM Laboratory, UMR CNRS 7252, University of Poitiers, Poitiers, France]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"XLIM Laboratory, UMR CNRS 7252, University of Poitiers, Poitiers, France","institution_ids":["https://openalex.org/I32881790","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"[XLIM Laboratory, UMR CNRS 7252, University of Poitiers, Poitiers, France]","institution_ids":["https://openalex.org/I32881790","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1872,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57475225,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"503","last_page":"506"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval 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/T10627","display_name":"Advanced Image and Video Retrieval 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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9995999932289124,"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":0.9771000146865845,"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":0.7924683094024658},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.7369402050971985},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.7110229134559631},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.709825336933136},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.581466019153595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.579179584980011},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5659946203231812},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5507267713546753},{"id":"https://openalex.org/keywords/information-gain","display_name":"Information gain","score":0.45356863737106323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4173368811607361},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38538461923599243},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34981468319892883}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7924683094024658},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.7369402050971985},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.7110229134559631},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.709825336933136},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.581466019153595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.579179584980011},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5659946203231812},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5507267713546753},{"id":"https://openalex.org/C2983203078","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Information gain","level":2,"score":0.45356863737106323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4173368811607361},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38538461923599243},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34981468319892883},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2671188.2749319","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2671188.2749319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM on International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01287552v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01287552","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Multimedia Retrieval, Jun 2015, Shanghai, China. ⟨10.1145/2671188.2749319⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1482214997","https://openalex.org/W1556531089","https://openalex.org/W1625255723","https://openalex.org/W1677409904","https://openalex.org/W1974864436","https://openalex.org/W1978394996","https://openalex.org/W2000215441","https://openalex.org/W2006533296","https://openalex.org/W2012592962","https://openalex.org/W2037227137","https://openalex.org/W2124386111","https://openalex.org/W2128017662","https://openalex.org/W2129453502","https://openalex.org/W2131846894","https://openalex.org/W2147238549","https://openalex.org/W2162762921","https://openalex.org/W2186094539","https://openalex.org/W2882319491","https://openalex.org/W6636494156"],"related_works":["https://openalex.org/W2063218608","https://openalex.org/W4386105885","https://openalex.org/W2071180033","https://openalex.org/W2184288218","https://openalex.org/W2947282851","https://openalex.org/W2374066281","https://openalex.org/W4387423606","https://openalex.org/W2147874738","https://openalex.org/W155590726","https://openalex.org/W2036058638"],"abstract_inverted_index":{"Content":[0],"Based":[1],"Image":[2],"Retrieval":[3],"(CBIR)":[4],"systems":[5],"retrieve":[6],"the":[7,20,31,53,61,64,78,82,96,121,130,136,144],"most":[8,21],"similar":[9],"images":[10],"to":[11,72,110,139],"a":[12,16,56],"query":[13],"image":[14,74,114,122],"in":[15,27],"collection.":[17],"One":[18],"of":[19,33,46,55,85,98,129,147],"popular":[22],"models":[23,50],"and":[24,76,113],"widely":[25],"applied":[26],"this":[28,39,93],"task":[29],"is":[30,67],"Bag":[32,146],"Visual":[34,148],"Words":[35,149],"model":[36,134],"(BoVW).":[37],"In":[38,60],"paper,":[40],"we":[41],"introduce":[42],"an":[43],"evaluation":[44],"study":[45,94],"different":[47,100,111],"information":[48,65,71,86,101,132],"gain":[49,66,102,133],"used":[51,68],"for":[52,92],"construction":[54],"visual":[57],"word":[58],"vocabulary.":[59],"proposed":[62],"framework,":[63],"as":[69],"discriminative":[70],"index":[73],"features":[75,123],"select":[77],"ones":[79],"that":[80,119],"have":[81],"highest":[83],"values":[84],"gain.":[87],"The":[88,116],"empirical":[89],"experiments":[90],"made":[91],"evaluate":[95],"effect":[97],"four":[99],"models:":[103],"tf-idf,":[104],"entropy,":[105],"bm25,":[106],"tfc":[107],"with":[108],"respect":[109],"descriptors":[112],"databases.":[115],"results":[117],"show":[118],"selecting":[120],"based":[124],"on":[125],"at":[126],"least":[127],"one":[128],"studied":[131],"allows":[135],"retrieval":[137],"process":[138],"be":[140],"more":[141],"accurate":[142],"than":[143],"classical":[145],"model.":[150]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}