{"id":"https://openalex.org/W3107785325","doi":"https://doi.org/10.1145/3428658.3431083","title":"A Crowdsourcing Method for Sign Segmentation in Brazilian Sign Language Videos","display_name":"A Crowdsourcing Method for Sign Segmentation in Brazilian Sign Language Videos","publication_year":2020,"publication_date":"2020-11-25","ids":{"openalex":"https://openalex.org/W3107785325","doi":"https://doi.org/10.1145/3428658.3431083","mag":"3107785325"},"language":"en","primary_location":{"id":"doi:10.1145/3428658.3431083","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3428658.3431083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Brazilian Symposium on Multimedia and the Web","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/A5064960153","display_name":"Marcello N. de Amorim","orcid":"https://orcid.org/0000-0002-9422-8756"},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcello N. de Amorim","raw_affiliation_strings":["Federal University of Esp\u00edrito Santo Vit\u00f3ria-ES, Brazil, ES"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Esp\u00edrito Santo Vit\u00f3ria-ES, Brazil, ES","institution_ids":["https://openalex.org/I51235708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047671585","display_name":"Celso A. S. Santos","orcid":"https://orcid.org/0000-0002-3287-5843"},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Celso A. S. Santos","raw_affiliation_strings":["Federal University of Esp\u00edrito Santo Vit\u00f3ria-ES, Brazil, ES"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Esp\u00edrito Santo Vit\u00f3ria-ES, Brazil, ES","institution_ids":["https://openalex.org/I51235708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060365694","display_name":"Orivaldo de Lira Tavares","orcid":null},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Orivaldo de L. Tavares","raw_affiliation_strings":["Federal University of Esp\u00edrito Santo Vit\u00f3ria-ES, Brazil, ES"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Esp\u00edrito Santo Vit\u00f3ria-ES, Brazil, ES","institution_ids":["https://openalex.org/I51235708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I51235708"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14375685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"105","last_page":"112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11285","display_name":"Hearing Impairment and Communication","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9764000177383423,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/crowdsourcing","display_name":"Crowdsourcing","score":0.8805447220802307},{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.7626383304595947},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.7151924967765808},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7000129818916321},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6677782535552979},{"id":"https://openalex.org/keywords/interpreter","display_name":"Interpreter","score":0.6213780045509338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5330257415771484},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.48394349217414856},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46965116262435913},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.445015549659729},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.4378291368484497},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08733883500099182},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08209237456321716}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.8805447220802307},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.7626383304595947},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.7151924967765808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7000129818916321},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6677782535552979},{"id":"https://openalex.org/C122783720","wikidata":"https://www.wikidata.org/wiki/Q183065","display_name":"Interpreter","level":2,"score":0.6213780045509338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5330257415771484},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.48394349217414856},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46965116262435913},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.445015549659729},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.4378291368484497},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08733883500099182},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08209237456321716},{"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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3428658.3431083","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3428658.3431083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Brazilian Symposium on Multimedia and the Web","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7799999713897705,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2004925710","https://openalex.org/W2018975420","https://openalex.org/W2106476394","https://openalex.org/W2761325727","https://openalex.org/W2785226077","https://openalex.org/W2789642357","https://openalex.org/W2887413939","https://openalex.org/W2911708955","https://openalex.org/W4298205916"],"related_works":["https://openalex.org/W4386716227","https://openalex.org/W2239478350","https://openalex.org/W2056227523","https://openalex.org/W4396496381","https://openalex.org/W134296123","https://openalex.org/W1608168893","https://openalex.org/W2348960846","https://openalex.org/W4285152862","https://openalex.org/W2016595578","https://openalex.org/W1498547796"],"abstract_inverted_index":{"Like":[0],"the":[1,19,28,63,132,135,140,163,168,173,176,189,192,195,211],"spoken":[2,86],"languages,":[3],"sign":[4,88,96,105,159,169,212],"languages":[5],"are":[6,41,49,71],"not":[7],"universal":[8],"and":[9,25,48,53,81],"vary":[10],"in":[11,120,134],"different":[12,147],"countries.":[13],"LIBRAS":[14,40,125,155,184],"(Brazilian":[15],"Sign":[16],"Language)":[17],"is":[18,27],"second":[20],"official":[21],"language":[22,29,97],"of":[23,39,43,66,94,131,142,154,183,191,194,210],"Brazil":[24],"it":[26],"adopted":[30],"by":[31,51,172,180],"Brazilian":[32],"Deaf's":[33],"community":[34],"to":[35,74,115,207],"communicate.":[36],"The":[37,69,90,127],"signs":[38,70,117,133],"composed":[42],"hand":[44,67],"configurations,":[45],"facial":[46],"expressions":[47],"affected":[50],"space":[52],"intensity":[54],"modifiers,":[55],"which":[56],"makes":[57],"their":[58],"recognition":[59],"more":[60],"complicated":[61],"than":[62],"simple":[64],"identification":[65],"signs.":[68,197],"arranged,":[72],"according":[73],"a":[75,95,112,181],"grammar,":[76],"respecting":[77],"form":[78],"phrases,":[79],"clauses,":[80],"sentences":[82],"like":[83],"any":[84,157],"other":[85,158],"or":[87,129],"language.":[89],"automatic":[91],"machine":[92],"translation":[93],"typically":[98],"includes":[99],"an":[100],"initial":[101],"phase":[102],"for":[103],"detecting":[104],"boundaries.":[106],"In":[107],"this":[108],"paper,":[109],"we":[110,166],"apply":[111],"crowdsourcing":[113,203],"method":[114,204],"identifying":[116],"boundaries":[118,130,170,213],"present":[119],"pre-recorded":[121],"videos":[122,136],"those":[123],"features":[124],"interpreters.":[126],"limits":[128],"were":[137],"established":[138],"from":[139,144,146],"processing":[141],"contributions":[143],"workers":[145],"countries,":[148],"who":[149,186],"have":[150],"supposedly":[151],"never":[152],"heard":[153],"nor":[156],"languages.":[160],"To":[161],"evaluate":[162],"segmentation":[164],"process,":[165],"compared":[167],"identified":[171,196],"crowd":[174],"with":[175],"ground":[177],"truth":[178],"provided":[179],"team":[182],"experts,":[185],"also":[187],"assessed":[188],"quality":[190],"delimitation":[193],"Our":[198],"analysis":[199],"showed":[200],"that":[201],"our":[202],"was":[205],"able":[206],"get":[208],"93.75%":[209],"successfully.":[214]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}