{"id":"https://openalex.org/W4389474504","doi":"https://doi.org/10.1109/mmsp59012.2023.10337712","title":"Retrieval-Based Methodology for Few-Sample Logo Recognition","display_name":"Retrieval-Based Methodology for Few-Sample Logo Recognition","publication_year":2023,"publication_date":"2023-09-27","ids":{"openalex":"https://openalex.org/W4389474504","doi":"https://doi.org/10.1109/mmsp59012.2023.10337712"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp59012.2023.10337712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp59012.2023.10337712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)","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/A5093446594","display_name":"Dimosthenis Moralis","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":true,"raw_author_name":"Dimosthenis Moralis","raw_affiliation_strings":["Aristotle University of Thessaloniki,Dept. of Informatics,Thessaloniki,Greece","Dept. of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,Dept. of Informatics,Thessaloniki,Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Dept. of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102927916","display_name":"Maria Tzelepi","orcid":"https://orcid.org/0000-0001-5359-8315"},"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":"Maria Tzelepi","raw_affiliation_strings":["Aristotle University of Thessaloniki,Dept. of Informatics,Thessaloniki,Greece","Dept. of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,Dept. of Informatics,Thessaloniki,Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Dept. of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041054091","display_name":"Anastasios Tefas","orcid":"https://orcid.org/0000-0003-1288-3667"},"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 Tefas","raw_affiliation_strings":["Aristotle University of Thessaloniki,Dept. of Informatics,Thessaloniki,Greece","Dept. of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,Dept. of Informatics,Thessaloniki,Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Dept. of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5093446594"],"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":0.16590008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"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":0.9998000264167786,"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":0.9998000264167786,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9991999864578247,"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":0.9991000294685364,"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":0.756970226764679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7425006628036499},{"id":"https://openalex.org/keywords/logo","display_name":"Logo (programming language)","score":0.6995198726654053},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.6677054762840271},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6501625776290894},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5700600147247314},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5180049538612366},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3942902684211731},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05937245488166809}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.756970226764679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7425006628036499},{"id":"https://openalex.org/C2778720087","wikidata":"https://www.wikidata.org/wiki/Q201436","display_name":"Logo (programming language)","level":2,"score":0.6995198726654053},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.6677054762840271},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6501625776290894},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5700600147247314},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5180049538612366},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3942902684211731},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05937245488166809},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"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/mmsp59012.2023.10337712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp59012.2023.10337712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5903216224","display_name":null,"funder_award_id":"KMP6-0079092","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"}],"funders":[{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1980972548","https://openalex.org/W2001619934","https://openalex.org/W2015541839","https://openalex.org/W2097748059","https://openalex.org/W2100993058","https://openalex.org/W2107977888","https://openalex.org/W2109255472","https://openalex.org/W2124450022","https://openalex.org/W2396419813","https://openalex.org/W2574981201","https://openalex.org/W2752782242","https://openalex.org/W2911232715","https://openalex.org/W2918636049","https://openalex.org/W2963061259","https://openalex.org/W2963446712","https://openalex.org/W2963604034","https://openalex.org/W2963857746","https://openalex.org/W2963976704","https://openalex.org/W3042011474","https://openalex.org/W3184701780","https://openalex.org/W4210271974","https://openalex.org/W4212915707","https://openalex.org/W4288022092","https://openalex.org/W4293584584","https://openalex.org/W4320002812","https://openalex.org/W6750227808","https://openalex.org/W6770419740","https://openalex.org/W6798883673"],"related_works":["https://openalex.org/W4386159726","https://openalex.org/W2601157893","https://openalex.org/W2131735617","https://openalex.org/W2373006798","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2082269393"],"abstract_inverted_index":{"Logo":[0],"recognition":[1,20,49,180],"describes":[2],"the":[3,72,104,110,114,131,138,146,149,160,170,173],"challenging":[4],"task":[5],"of":[6,37,117,148,172],"detecting":[7],"and":[8,14,67],"classifying":[9],"logos":[10,95,106],"in":[11,96,145],"digital":[12],"images":[13],"videos.":[15],"Former":[16],"works":[17],"approach":[18,27],"logo":[19,48,65,89,133,179],"as":[21],"a":[22,63,68,79,86,118,122,142,154],"closed-set":[23],"problem.":[24],"However,":[25],"this":[26,42],"is":[28,60,91,157],"accompanied":[29],"by":[30,62],"several":[31],"shortcomings":[32],"linked":[33],"with":[34],"its":[35],"incapability":[36],"recognising":[38],"new":[39],"classes.":[40],"In":[41,152],"paper,":[43],"we":[44],"propose":[45],"an":[46,97],"open-set":[47],"method,":[50,175],"named":[51],"REtrieval-based":[52],"methodology":[53],"For":[54],"FEw-sample":[55],"LOgo":[56],"Recognition":[57],"(REFELOR).":[58],"REFELOR":[59],"composed":[61],"generic":[64,88],"detector":[66,90],"feature":[69,101,111,115,161],"extractor,":[70,112,162],"allowing":[71],"generalization":[73],"on":[74],"unseen":[75],"classes,":[76],"using":[77,109],"only":[78,121],"few":[80,123],"samples":[81,124],"per":[82,125],"logo.":[83],"That":[84],"is,":[85],"single-stage":[87],"trained":[92],"to":[93,137,159],"detect":[94],"input":[98],"image.":[99],"Then,":[100],"representations":[102,116,134,147],"for":[103],"detected":[105,132],"are":[107,127,135],"extracted,":[108],"while":[113],"database":[119],"containing":[120],"class":[126,140],"also":[128],"extracted.":[129],"Finally,":[130],"classified":[136],"corresponding":[139],"based":[141],"similarity":[143],"search":[144],"aforementioned":[150],"database.":[151],"addition,":[153],"regularization":[155],"technique":[156],"applied":[158],"providing":[163],"further":[164],"improvements.":[165],"The":[166],"experimental":[167],"evaluation":[168],"validates":[169],"effectiveness":[171],"proposed":[174],"outperforming":[176],"current":[177],"state-of-the-art":[178],"methods.":[181]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
