{"id":"https://openalex.org/W2964253156","doi":"https://doi.org/10.1609/aaai.v32i1.11903","title":"Video-Based Sign Language Recognition Without Temporal Segmentation","display_name":"Video-Based Sign Language Recognition Without Temporal Segmentation","publication_year":2018,"publication_date":"2018-04-26","ids":{"openalex":"https://openalex.org/W2964253156","doi":"https://doi.org/10.1609/aaai.v32i1.11903","mag":"2964253156"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v32i1.11903","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v32i1.11903","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/11903/11762","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/11903/11762","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101958253","display_name":"Jie Huang","orcid":"https://orcid.org/0000-0003-2697-7269"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Huang","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046805800","display_name":"Wengang Zhou","orcid":"https://orcid.org/0000-0003-1690-9836"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wengang Zhou","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100756983","display_name":"Qilin Zhang","orcid":"https://orcid.org/0000-0002-7917-9749"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qilin Zhang","raw_affiliation_strings":["HERE Technologies, Chicago, Illinois"],"affiliations":[{"raw_affiliation_string":"HERE Technologies, Chicago, Illinois","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078141810","display_name":"Houqiang Li","orcid":"https://orcid.org/0000-0003-2188-3028"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houqiang Li","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100415568","display_name":"Weiping Li","orcid":"https://orcid.org/0000-0003-3750-1653"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Li","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101958253"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":51.6459,"has_fulltext":true,"cited_by_count":412,"citation_normalized_percentile":{"value":1.0,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"32","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9896000027656555,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8130435347557068},{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.6472899913787842},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6082471013069153},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6063109040260315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5889214277267456},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5658650994300842},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5553820133209229},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4889932870864868},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4597627520561218},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.452620267868042},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43507134914398193}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8130435347557068},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.6472899913787842},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6082471013069153},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6063109040260315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5889214277267456},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5658650994300842},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5553820133209229},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4889932870864868},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4597627520561218},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.452620267868042},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43507134914398193},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v32i1.11903","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v32i1.11903","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/11903/11762","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v32i1.11903","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v32i1.11903","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/11903/11762","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3282271482","display_name":null,"funder_award_id":"61632019","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G433932707","display_name":null,"funder_award_id":"2015CB351803","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G650476908","display_name":null,"funder_award_id":"2016QNRC001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327072","display_name":"Intel Collaborative Research Institute on Mobile Networking and Computing","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964253156.pdf","grobid_xml":"https://content.openalex.org/works/W2964253156.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1506441995","https://openalex.org/W1522734439","https://openalex.org/W1568156700","https://openalex.org/W1573040851","https://openalex.org/W1970033169","https://openalex.org/W1972692077","https://openalex.org/W2004074725","https://openalex.org/W2015311006","https://openalex.org/W2015551990","https://openalex.org/W2046561909","https://openalex.org/W2085695154","https://openalex.org/W2115613106","https://openalex.org/W2117497855","https://openalex.org/W2136036867","https://openalex.org/W2139501017","https://openalex.org/W2146221819","https://openalex.org/W2147880316","https://openalex.org/W2150355110","https://openalex.org/W2162298316","https://openalex.org/W2165037244","https://openalex.org/W2188882108","https://openalex.org/W2240947865","https://openalex.org/W2295474072","https://openalex.org/W2304930553","https://openalex.org/W2341398492","https://openalex.org/W2342090483","https://openalex.org/W2430164002","https://openalex.org/W2463640844","https://openalex.org/W2464270159","https://openalex.org/W2470673105","https://openalex.org/W2515446175","https://openalex.org/W2516844836","https://openalex.org/W2518448700","https://openalex.org/W2540247209","https://openalex.org/W2554231256","https://openalex.org/W2624442909","https://openalex.org/W2746301562","https://openalex.org/W2755802490","https://openalex.org/W2767198899","https://openalex.org/W2776541261","https://openalex.org/W2964137974","https://openalex.org/W4299341000","https://openalex.org/W6631782140","https://openalex.org/W6635091486","https://openalex.org/W6671902614","https://openalex.org/W6680375555","https://openalex.org/W6684332838","https://openalex.org/W6726478258","https://openalex.org/W6726528879","https://openalex.org/W6730051331","https://openalex.org/W6960048474"],"related_works":["https://openalex.org/W4388870064","https://openalex.org/W4235186151","https://openalex.org/W2056057048","https://openalex.org/W2054685365","https://openalex.org/W2272354214","https://openalex.org/W2120383820","https://openalex.org/W2043010663","https://openalex.org/W2667588871","https://openalex.org/W4248308508","https://openalex.org/W118554674"],"abstract_inverted_index":{"Millions":[0],"of":[1,12,21,69,76,102,113,141,148,195],"hearing":[2],"impaired":[3],"people":[4],"around":[5],"the":[6,18,111,129,139,193,196],"world":[7],"routinely":[8],"use":[9],"some":[10],"variants":[11],"sign":[13,23,126],"languages":[14],"to":[15],"communicate,":[16],"thus":[17],"automatic":[19],"translation":[20],"a":[22,107,123,151,162,171],"language":[24],"is":[25,84],"meaningful":[26],"and":[27,47,73,86,170],"important.":[28],"Currently,":[29],"there":[30],"are":[31,182],"two":[32,186],"sub-problems":[33],"in":[34,106],"Sign":[35],"Language":[36],"Recognition":[37],"(SLR),":[38],"i.e.,":[39],"isolated":[40,60,95],"SLR":[41,49,56,96],"that":[42,50],"recognizes":[43],"word":[44,46,104],"by":[45],"continuous":[48,55,125],"translates":[51],"entire":[52],"sentences.":[53],"Existing":[54],"methods":[57,97],"typically":[58,98],"utilize":[59],"SLRs":[61],"as":[62],"building":[63],"blocks,":[64],"with":[65,133],"an":[66],"extra":[67],"layer":[68,75],"preprocessing":[70,140],"(temporal":[71],"segmentation)":[72],"another":[74],"post-processing":[77],"(sentence":[78],"synthesis).":[79],"Unfortunately,":[80],"temporal":[81,142],"segmentation":[82],"itself":[83],"non-trivial":[85],"inevitably":[87],"propagates":[88],"errors":[89],"into":[90],"subsequent":[91],"steps.":[92],"Worse":[93],"still,":[94],"require":[99],"strenuous":[100],"labeling":[101],"each":[103],"separately":[105],"sentence,":[108],"severely":[109],"limiting":[110],"amount":[112],"attainable":[114],"training":[115],"data.":[116],"To":[117],"address":[118],"these":[119],"challenges,":[120],"we":[121],"propose":[122],"novel":[124],"recognition":[127],"framework,":[128],"Hierarchical":[130,172],"Attention":[131,173],"Network":[132,155,174],"Latent":[134,163],"Space":[135,164],"(LS-HAN),":[136],"which":[137],"eliminates":[138],"segmentation.":[143],"The":[144],"proposed":[145,197],"LS-HAN":[146],"consists":[147],"three":[149],"components:":[150],"two-stream":[152],"Convolutional":[153],"Neural":[154],"(CNN)":[156],"for":[157,166,176],"video":[158],"feature":[159],"representation":[160],"generation,":[161],"(LS)":[165],"semantic":[167],"gap":[168],"bridging,":[169],"(HAN)":[175],"latent":[177],"space":[178],"based":[179],"recognition.":[180],"Experiments":[181],"carried":[183],"out":[184],"on":[185],"large":[187],"scale":[188],"datasets.":[189],"Experimental":[190],"results":[191],"demonstrate":[192],"effectiveness":[194],"framework.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":50},{"year":2024,"cited_by_count":59},{"year":2023,"cited_by_count":64},{"year":2022,"cited_by_count":54},{"year":2021,"cited_by_count":94},{"year":2020,"cited_by_count":42},{"year":2019,"cited_by_count":31},{"year":2018,"cited_by_count":17}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}