{"id":"https://openalex.org/W2792001378","doi":"https://doi.org/10.1109/icip.2017.8296454","title":"Query-by-example word spotting using multiscale features and classification in the space of representation differences","display_name":"Query-by-example word spotting using multiscale features and classification in the space of representation differences","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2792001378","doi":"https://doi.org/10.1109/icip.2017.8296454","mag":"2792001378"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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/A5004569040","display_name":"Mohamed Mhiri","orcid":null},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mohamed Mhiri","raw_affiliation_strings":["\u00c9cole de technologie sup\u00e9rieure (\u00c9TS), Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"\u00c9cole de technologie sup\u00e9rieure (\u00c9TS), Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015410834","display_name":"Mohamed Cheriet","orcid":"https://orcid.org/0000-0002-5246-7265"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohamed Cheriet","raw_affiliation_strings":["\u00c9cole de technologie sup\u00e9rieure (\u00c9TS), Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"\u00c9cole de technologie sup\u00e9rieure (\u00c9TS), Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017608284","display_name":"Christian Desrosiers","orcid":"https://orcid.org/0000-0002-9162-9650"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Christian Desrosiers","raw_affiliation_strings":["\u00c9cole de technologie sup\u00e9rieure (\u00c9TS), Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"\u00c9cole de technologie sup\u00e9rieure (\u00c9TS), Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004569040"],"corresponding_institution_ids":["https://openalex.org/I9736820"],"apc_list":null,"apc_paid":null,"fwci":0.4617,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7462868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1112","last_page":"1116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition 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/T10601","display_name":"Handwritten Text Recognition 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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9897000193595886,"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":0.9890999794006348,"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/spotting","display_name":"Spotting","score":0.9214884638786316},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7870371341705322},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7756499648094177},{"id":"https://openalex.org/keywords/keyword-spotting","display_name":"Keyword spotting","score":0.691295862197876},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6536568999290466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6500030755996704},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6191403269767761},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6169504523277283},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3950726389884949},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3511037826538086},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12192955613136292}],"concepts":[{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.9214884638786316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7870371341705322},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7756499648094177},{"id":"https://openalex.org/C2781213101","wikidata":"https://www.wikidata.org/wiki/Q6398558","display_name":"Keyword spotting","level":2,"score":0.691295862197876},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6536568999290466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6500030755996704},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6191403269767761},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6169504523277283},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3950726389884949},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3511037826538086},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12192955613136292},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2017.8296454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:espace2.etsmtl.ca:16614","is_oa":false,"landing_page_url":"http://espace2.etsmtl.ca/id/eprint/16614/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Compte rendu de conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5600000023841858,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1553989502","https://openalex.org/W1625255723","https://openalex.org/W1686810756","https://openalex.org/W1955055330","https://openalex.org/W1963885141","https://openalex.org/W1990042562","https://openalex.org/W2007163663","https://openalex.org/W2053317383","https://openalex.org/W2062510230","https://openalex.org/W2062755747","https://openalex.org/W2072128103","https://openalex.org/W2106869737","https://openalex.org/W2118858186","https://openalex.org/W2122585011","https://openalex.org/W2147152072","https://openalex.org/W2150376021","https://openalex.org/W2151827052","https://openalex.org/W2154705238","https://openalex.org/W2163922914","https://openalex.org/W3118608800","https://openalex.org/W4231109964","https://openalex.org/W6633481811","https://openalex.org/W6676194229","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2918559346","https://openalex.org/W2114097550","https://openalex.org/W3119978414","https://openalex.org/W2516975559","https://openalex.org/W2545741539","https://openalex.org/W3206647229","https://openalex.org/W4286904253","https://openalex.org/W1969408022","https://openalex.org/W2000885660","https://openalex.org/W1483316057"],"abstract_inverted_index":{"Word":[0],"spotting":[1,103,153],"in":[2,15,41,55,70,75,87,109,130,155],"document":[3],"images":[4],"is":[5,39,53,78,97,135],"a":[6,56,61,106],"challenging":[7],"problem,":[8],"due":[9],"to":[10,59,67,98,120],"the":[11,19,46,71,88,100,110,117,138],"large":[12],"intra-class":[13],"variability":[14,74],"handwritten":[16,76],"shapes":[17],"and":[18,158],"lack":[20],"of":[21,64,84,94,112],"labeled":[22],"data.":[23],"To":[24],"tackle":[25],"these":[26],"challenges,":[27],"this":[28,95],"paper":[29],"proposes":[30],"an":[31,42],"efficient":[32],"multiscale":[33],"representation":[34,113],"for":[35,123],"word":[36,102,124,152],"images,":[37],"which":[38],"learned":[40,118],"unsupervised":[43],"manner":[44],"using":[45,82],"spherical":[47],"k-means":[48],"algorithm.":[49],"A":[50],"pooling":[51],"function":[52],"applied":[54],"spatial":[57],"grid":[58],"obtain":[60],"fixed-length":[62],"vector":[63],"features,":[65],"robust":[66],"small":[68],"shifts":[69],"image.":[72],"Scale":[73],"data":[77],"also":[79],"considered":[80],"by":[81],"patches":[83],"various":[85],"sizes":[86],"encoding":[89],"process.":[90],"Another":[91],"important":[92],"contribution":[93],"work":[96],"model":[99,119],"training-based":[101,159],"task":[104],"as":[105],"classification":[107],"problem":[108],"space":[111],"differences,":[114],"thereby":[115],"allowing":[116],"find":[121],"matches":[122],"classes":[125],"that":[126,147],"were":[127],"not":[128],"seen":[129],"training.":[131],"The":[132],"proposed":[133],"system":[134,149],"evaluated":[136],"on":[137],"well-known":[139],"George":[140],"Washington":[141],"(GW)":[142],"dataset.":[143],"Experimental":[144],"results":[145],"show":[146],"our":[148],"outperforms":[150],"state-of-the-art":[151],"approaches":[154],"both":[156],"training-free":[157],"scenarios.":[160]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
