{"id":"https://openalex.org/W2467224774","doi":"https://doi.org/10.1109/cbmi.2016.7500270","title":"From textual queries to visual queries","display_name":"From textual queries to visual queries","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2467224774","doi":"https://doi.org/10.1109/cbmi.2016.7500270","mag":"2467224774"},"language":"en","primary_location":{"id":"doi:10.1109/cbmi.2016.7500270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2016.7500270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5055002141","display_name":"Nikos Zikos","orcid":null},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikos Zikos","raw_affiliation_strings":["Computer Engineering Department Aristotle University of Thessaloniki, Multimedia Understanding Group Electrical, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering Department Aristotle University of Thessaloniki, Multimedia Understanding Group Electrical, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018812989","display_name":"Anastasios Delopoulos","orcid":"https://orcid.org/0000-0001-8220-8486"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Anastasios Delopoulos","raw_affiliation_strings":["Computer Engineering Department Aristotle University of Thessaloniki, Multimedia Understanding Group Electrical, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering Department Aristotle University of Thessaloniki, Multimedia Understanding Group Electrical, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080774226","display_name":"Dafni Maria Vasilikari","orcid":null},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dafni Maria Vasilikari","raw_affiliation_strings":["Computer Engineering Department Aristotle University of Thessaloniki, Multimedia Understanding Group Electrical, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering Department Aristotle University of Thessaloniki, Multimedia Understanding Group Electrical, Greece","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04628331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"6"},"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":1.0,"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":1.0,"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":0.9997000098228455,"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":0.9962000250816345,"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":0.7495934367179871},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5360460877418518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5281866788864136},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.5189116597175598},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.501610517501831},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.49271896481513977},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.45939087867736816},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4446481466293335},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4414274990558624},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.42409074306488037},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41572558879852295},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3133438527584076},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18905803561210632}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7495934367179871},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5360460877418518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5281866788864136},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.5189116597175598},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.501610517501831},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.49271896481513977},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.45939087867736816},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4446481466293335},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4414274990558624},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.42409074306488037},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41572558879852295},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3133438527584076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18905803561210632},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbmi.2016.7500270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2016.7500270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1458771408","https://openalex.org/W1688055647","https://openalex.org/W1797054124","https://openalex.org/W1965842729","https://openalex.org/W2024254250","https://openalex.org/W2031039904","https://openalex.org/W2052094314","https://openalex.org/W2052305482","https://openalex.org/W2062879799","https://openalex.org/W2077528174","https://openalex.org/W2111073379","https://openalex.org/W2119605622","https://openalex.org/W2124386111","https://openalex.org/W2142040641","https://openalex.org/W2145506722","https://openalex.org/W2151103935","https://openalex.org/W6638238017","https://openalex.org/W6682431704"],"related_works":["https://openalex.org/W2063218608","https://openalex.org/W4386105885","https://openalex.org/W2947282851","https://openalex.org/W2184288218","https://openalex.org/W2071180033","https://openalex.org/W2374066281","https://openalex.org/W4387423606","https://openalex.org/W155590726","https://openalex.org/W2147874738","https://openalex.org/W2528082075"],"abstract_inverted_index":{"In":[0],"this":[1,144],"paper":[2],"we":[3,137],"present":[4],"a":[5,37,47,101,123,167],"framework":[6],"to":[7,59,70,199],"transform":[8],"textual":[9,23,35,169],"queries":[10,24],"into":[11,156],"visual":[12,124,130,134],"ones.":[13],"The":[14],"proposed":[15,176],"method":[16,177],"uses":[17],"standard":[18],"image":[19,46,76],"retrieval":[20],"techniques":[21],"with":[22,57,68,165],"and":[25,43,66,117,181],"the":[26,75,89,95,106,112,120,129,133,140,147,153,157,175,187],"Fast":[27],"Geometric":[28],"Consistency":[29],"Test":[30],"(FGCT)":[31],"method.":[32,91],"For":[33],"every":[34,45],"query":[36],"set":[38,48,148],"of":[39,49,80,97,132,149,152,159,163,193],"images":[40,81,98,160,164,196],"is":[41,51,172,178],"retrieved":[42],"for":[44,84],"descriptors":[50],"extracted.":[52],"Extracted":[53],"features":[54,127,151],"are":[55,82,115,197],"combined":[56],"respect":[58,69],"their":[60,63,71],"similarity":[61],"in":[62,105,122],"descriptors'":[64,107],"space":[65],"afterwards":[67],"geometric":[72,86,103],"consistency":[73],"on":[74,186],"plane.":[77],"All":[78],"pairs":[79],"tested":[83],"consistent":[85],"structures":[87],"using":[88,146],"FGCT":[90,141],"This":[92],"procedure":[93],"extracts":[94],"subset":[96],"that":[99,110,161,174],"have":[100],"persistent":[102,113,154],"formation":[104,114,155],"space.":[108],"Descriptors":[109],"compose":[111],"extracted":[116,150],"used":[118],"as":[119],"input":[121],"query;":[125],"those":[126],"constitute":[128],"context":[131],"query.":[135],"Afterwards":[136],"perform":[138],"again":[139],"method,":[142],"but":[143],"time":[145],"cloud":[158],"consists":[162],"out":[166],"priori":[168],"knowledge.":[170],"It":[171],"noteworthy":[173],"scale,":[179],"rotation":[180],"translation":[182],"invariant.":[183],"Experimental":[184],"results":[185],"Microsoft's":[188],"Clickture":[189],"dataset":[190],"which":[191],"consist":[192],"1":[194],"million":[195],"presented":[198],"support":[200],"these":[201],"statements.":[202]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}