{"id":"https://openalex.org/W3120985529","doi":"https://doi.org/10.1109/siu49456.2020.9302207","title":"Joint Distance and Representation Learning for Sign Language Videos","display_name":"Joint Distance and Representation Learning for Sign Language Videos","publication_year":2020,"publication_date":"2020-10-05","ids":{"openalex":"https://openalex.org/W3120985529","doi":"https://doi.org/10.1109/siu49456.2020.9302207","mag":"3120985529"},"language":"en","primary_location":{"id":"doi:10.1109/siu49456.2020.9302207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu49456.2020.9302207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th Signal Processing and Communications Applications Conference (SIU)","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/A5015639730","display_name":"\u00d6yk\u00fc Deniz K\u00f6se","orcid":"https://orcid.org/0000-0002-8685-2161"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Oyku Deniz Kose","raw_affiliation_strings":["Elektrik-Elektronik M\u00fchendisli\u011fi, Bo\u011fazi\u00e7i \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Elektrik-Elektronik M\u00fchendisli\u011fi, Bo\u011fazi\u00e7i \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055086464","display_name":"Murat Sara\u00e7lar","orcid":"https://orcid.org/0000-0002-7435-8510"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Murat Saraclar","raw_affiliation_strings":["Elektrik-Elektronik M\u00fchendisli\u011fi, Bo\u011fazi\u00e7i \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Elektrik-Elektronik M\u00fchendisli\u011fi, Bo\u011fazi\u00e7i \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye","institution_ids":["https://openalex.org/I4405392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015639730"],"corresponding_institution_ids":["https://openalex.org/I4405392"],"apc_list":null,"apc_paid":null,"fwci":0.1474,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50993252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9919000267982483,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9883999824523926,"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":0.8252439498901367},{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.738430380821228},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.6235076189041138},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.5975012183189392},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5799151062965393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5755313634872437},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5205125212669373},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49907898902893066},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4692005515098572},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4341665506362915},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4335739016532898},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.41645151376724243},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3804403841495514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08735665678977966},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07669222354888916}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8252439498901367},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.738430380821228},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.6235076189041138},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5975012183189392},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5799151062965393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5755313634872437},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5205125212669373},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49907898902893066},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4692005515098572},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4341665506362915},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4335739016532898},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.41645151376724243},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3804403841495514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08735665678977966},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07669222354888916},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu49456.2020.9302207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu49456.2020.9302207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1524333225","https://openalex.org/W1976466134","https://openalex.org/W2019431977","https://openalex.org/W2091746061","https://openalex.org/W2100526149","https://openalex.org/W2112401188","https://openalex.org/W2126453823","https://openalex.org/W2157904315","https://openalex.org/W2162723273","https://openalex.org/W2250689755","https://openalex.org/W2403878043","https://openalex.org/W2559085405","https://openalex.org/W2577700712","https://openalex.org/W2762466393","https://openalex.org/W2855779334","https://openalex.org/W2916979304","https://openalex.org/W2964121744","https://openalex.org/W2969618026","https://openalex.org/W3023508976"],"related_works":["https://openalex.org/W2950183183","https://openalex.org/W2341338763","https://openalex.org/W2030799363","https://openalex.org/W2032415964","https://openalex.org/W2288425735","https://openalex.org/W2349923317","https://openalex.org/W2894081631","https://openalex.org/W2986063033","https://openalex.org/W2978114332","https://openalex.org/W1989687946"],"abstract_inverted_index":{"Scientific":[0],"progress":[1],"in":[2,46,83],"sign":[3,41,85],"language":[4,42,86],"applications":[5],"has":[6],"a":[7,58,131],"crucial":[8],"importance,":[9],"since":[10],"it":[11],"can":[12,127],"increase":[13],"the":[14,17,51,70,74,79,84,91,98,106,114],"quality":[15],"of":[16,19,78,90],"lives":[18],"deaf":[20],"and":[21,31,39,54],"mute":[22],"people.":[23],"In":[24],"this":[25],"study,":[26],"frame":[27,44],"level":[28],"distance":[29,55,123],"metric":[30,56],"representation":[32,53],"learning":[33],"problems":[34],"are":[35,111],"studied":[36],"to":[37],"represent":[38],"classify":[40],"video":[43],"sequences":[45],"an":[47,135],"efficient":[48,136],"way.":[49],"For":[50],"joint":[52],"learning,":[57],"Siamese":[59],"deep":[60],"neural":[61],"network":[62,66],"is":[63,67,94],"employed.":[64],"This":[65,125],"trained":[68],"with":[69,121],"examples":[71],"extracted":[72],"from":[73],"automatically":[75],"acquired":[76],"transcription":[77],"speech":[80],"signal":[81],"found":[82],"videos.":[87],"The":[88],"performance":[89],"proposed":[92],"system":[93],"measured":[95],"by":[96],"utilizing":[97],"same-different":[99],"sign-discrimination":[100],"task.":[101],"Our":[102],"method":[103],"considerably":[104],"outperforms":[105],"considered":[107,129],"baseline":[108],"systems":[109],"that":[110],"based":[112],"on":[113],"dynamic":[115],"time":[116],"warping":[117],"(DTW)":[118],"algorithm":[119],"used":[120],"common":[122],"metrics.":[124],"success":[126],"be":[128],"as":[130],"first":[132],"step":[133],"towards":[134],"query-by-sign":[137],"search":[138],"system.":[139]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}