{"id":"https://openalex.org/W2150750161","doi":"https://doi.org/10.1109/iscis.2009.5291877","title":"HMM-based sliding video text recognition for Turkish broadcast news","display_name":"HMM-based sliding video text recognition for Turkish broadcast news","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2150750161","doi":"https://doi.org/10.1109/iscis.2009.5291877","mag":"2150750161"},"language":"en","primary_location":{"id":"doi:10.1109/iscis.2009.5291877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscis.2009.5291877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 24th International Symposium on Computer and Information Sciences","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/A5049718229","display_name":"Temucin Som","orcid":null},"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":"Temucin Som","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Bo\u011fazi\u00e7i University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Bo\u011fazi\u00e7i University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112207449","display_name":"Do\u011fan Can","orcid":null},"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":"Dogan Can","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Bo\u011fazi\u00e7i University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Bo\u011fazi\u00e7i University, Istanbul, Turkey","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":["Department of Electrical and Electronics Engineering, Bo\u011fazi\u00e7i University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Bo\u011fazi\u00e7i University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049718229"],"corresponding_institution_ids":["https://openalex.org/I4405392"],"apc_list":null,"apc_paid":null,"fwci":0.6471,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73608609,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"475","last_page":"479"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9983999729156494,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8257913589477539},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.795722246170044},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7339515686035156},{"id":"https://openalex.org/keywords/turkish","display_name":"Turkish","score":0.6670061945915222},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6316284537315369},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6310280561447144},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.6239326596260071},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.5510240793228149},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5461826920509338},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.5167649984359741},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5045245885848999},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.49786853790283203},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4284381866455078},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.42611074447631836},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4247659146785736},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3937093913555145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34395715594291687},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.0654481053352356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8257913589477539},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.795722246170044},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7339515686035156},{"id":"https://openalex.org/C2781121862","wikidata":"https://www.wikidata.org/wiki/Q256","display_name":"Turkish","level":2,"score":0.6670061945915222},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6316284537315369},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6310280561447144},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.6239326596260071},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.5510240793228149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5461826920509338},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.5167649984359741},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5045245885848999},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.49786853790283203},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4284381866455078},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.42611074447631836},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4247659146785736},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3937093913555145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34395715594291687},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0654481053352356},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscis.2009.5291877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscis.2009.5291877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 24th International Symposium on Computer and Information Sciences","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5600000023841858}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322626","display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","ror":"https://ror.org/04w9kkr77"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1518332699","https://openalex.org/W1631260214","https://openalex.org/W2029263174","https://openalex.org/W2097933517","https://openalex.org/W2122279599","https://openalex.org/W2126453823","https://openalex.org/W2128339043","https://openalex.org/W2130515063","https://openalex.org/W2152753389","https://openalex.org/W6631049975","https://openalex.org/W6636811518"],"related_works":["https://openalex.org/W1566315437","https://openalex.org/W2594897229","https://openalex.org/W4221142855","https://openalex.org/W2151348424","https://openalex.org/W2050138804","https://openalex.org/W4290708361","https://openalex.org/W2129812225","https://openalex.org/W2523799048","https://openalex.org/W2155620340","https://openalex.org/W3019226033"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,84],"develop":[4],"an":[5,67],"HMM-based":[6],"sliding":[7,34],"video":[8,35],"text":[9,36],"recognizer":[10],"and":[11,32,72,100],"present":[12],"our":[13],"results":[14],"on":[15,58],"Turkish":[16],"broadcast":[17],"news":[18],"for":[19],"the":[20,86,95,132],"hearing":[21],"impaired.":[22],"We":[23,64,119],"use":[24],"well":[25],"known":[26],"speech":[27],"recognition":[28],"techniques":[29],"to":[30,78,91,114],"model":[31,77],"recognize":[33],"characters":[37],"using":[38],"a":[39,52,74,92],"minimal":[40],"amount":[41,87],"of":[42,56,61,69,81,88],"labeled":[43],"data.":[44,63],"Baseline":[45],"system":[46],"without":[47],"any":[48],"language":[49,76],"modeling":[50],"gives":[51],"word":[53,125],"error":[54,105,126],"rate":[55,127],"2.2%":[57],"138":[59],"minutes":[60],"test":[62,96,133],"then":[65],"provide":[66],"analysis":[68],"character":[70],"errors":[71],"employ":[73],"character-based":[75],"correct":[79],"most":[80],"them.":[82],"Finally":[83],"decrease":[85],"training":[89,109],"data":[90,97],"quarter,":[93],"split":[94],"into":[98],"halves":[99],"investigate":[101],"semi-supervised":[102,108],"training.":[103,118],"Word":[104],"rates":[106],"after":[107,116],"are":[110],"significantly":[111],"lower":[112],"than":[113],"those":[115],"baseline":[117],"see":[120],"40%":[121],"relative":[122],"reduction":[123],"in":[124],"(1.5":[128],"\u2192":[129],"0.9)":[130],"over":[131],"set.":[134]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
