{"id":"https://openalex.org/W2147642407","doi":"https://doi.org/10.1109/icpr.2008.4760962","title":"Clip retrieval using multi-modal biometrics in meeting archives","display_name":"Clip retrieval using multi-modal biometrics in meeting archives","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2147642407","doi":"https://doi.org/10.1109/icpr.2008.4760962","mag":"2147642407"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4760962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4760962","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","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/A5088240246","display_name":"Himanshu Vajaria","orcid":null},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Himanshu Vajaria","raw_affiliation_strings":["Department of Computer Science & Engineering, University of South Florida, Tampa, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020674314","display_name":"Sudeep Sarkar","orcid":"https://orcid.org/0000-0001-7332-4207"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sudeep Sarkar","raw_affiliation_strings":["Department of Computer Science & Engineering, University of South Florida, Tampa, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063184621","display_name":"Rangachar Kasturi","orcid":"https://orcid.org/0000-0003-3956-1967"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rangachar Kasturi","raw_affiliation_strings":["Department of Computer Science & Engineering, University of South Florida, Tampa, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088240246"],"corresponding_institution_ids":["https://openalex.org/I2613432"],"apc_list":null,"apc_paid":null,"fwci":0.3175,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49154589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"26","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9983999729156494,"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":0.7943407297134399},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6922674775123596},{"id":"https://openalex.org/keywords/clips","display_name":"CLIPS","score":0.6536860466003418},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6183502078056335},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.597629189491272},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5751276016235352},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5362946391105652},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4898199737071991},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.43789392709732056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40642249584198},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.393541157245636},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33003541827201843}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7943407297134399},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6922674775123596},{"id":"https://openalex.org/C2778739407","wikidata":"https://www.wikidata.org/wiki/Q165372","display_name":"CLIPS","level":2,"score":0.6536860466003418},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6183502078056335},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.597629189491272},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5751276016235352},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5362946391105652},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4898199737071991},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.43789392709732056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40642249584198},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.393541157245636},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33003541827201843},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icpr.2008.4760962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4760962","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.214.4835","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.4835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://figment.cse.usf.edu/~sfefilat/data/papers/MoAT4.3.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.331.8344","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.8344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://figment.csee.usf.edu/~sarkar/PDFs/Himanshu_ICPR_2008.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1524280659","https://openalex.org/W1608078901","https://openalex.org/W1991792143","https://openalex.org/W2015245929","https://openalex.org/W2029192628","https://openalex.org/W2041823554","https://openalex.org/W2099403067","https://openalex.org/W2100221557","https://openalex.org/W2100561338","https://openalex.org/W2105582566","https://openalex.org/W2121292316","https://openalex.org/W2136885397","https://openalex.org/W2159591770","https://openalex.org/W2793792192","https://openalex.org/W6631637966","https://openalex.org/W6636112616","https://openalex.org/W6675048546"],"related_works":["https://openalex.org/W2417253731","https://openalex.org/W2350469024","https://openalex.org/W2491583298","https://openalex.org/W2327827625","https://openalex.org/W2395860100","https://openalex.org/W2036154621","https://openalex.org/W795077857","https://openalex.org/W2074513378","https://openalex.org/W2376416463","https://openalex.org/W3164304719"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,9,14,19,49,55,76,87,111,142,149],"system":[3,29],"to":[4,40,66,74],"retrieve":[5],"all":[6],"clips":[7],"from":[8,107],"meeting":[10,50],"archive":[11],"that":[12,117],"show":[13],"particular":[15],"individual":[16,42],"speaking,":[17],"using":[18],"single":[20],"face":[21],"or":[22,124],"voice":[23],"sample":[24,43],"as":[25],"the":[26,38,45,67,94,99,108,119],"query.":[27],"The":[28,61,127],"incorporates":[30],"three":[31],"novel":[32],"ideas.":[33],"One,":[34],"rather":[35],"than":[36],"match":[37],"query":[39,62,95],"each":[41],"in":[44,110],"archive,":[46],"samples":[47,58,73],"within":[48],"are":[51],"grouped":[52],"first,":[53],"generating":[54],"cluster":[56],"of":[57,71,90,144,151],"per":[59],"individual.":[60],"is":[63,83,96,131],"then":[64],"matched":[65],"cluster,":[68],"taking":[69],"advantage":[70],"multiple":[72],"yield":[75],"robust":[77],"decision.":[78],"Two,":[79],"automatic":[80],"audio-visual":[81],"association":[82],"performed":[84],"which":[85,130],"allows":[86],"bi-modal":[88],"retrieval":[89],"clips,":[91],"even":[92],"when":[93],"uni-modal.":[97],"Three,":[98],"biometric":[100],"recognition":[101],"uses":[102],"individual-specific":[103],"score":[104],"distributions":[105],"learnt":[106],"clusters,":[109],"likelihood":[112],"ratio":[113],"based":[114],"decision":[115],"framework":[116],"obviates":[118],"need":[120],"for":[121],"explicit":[122],"normalization":[123],"modality":[125],"weighting.":[126],"resulting":[128],"system,":[129],"completely":[132],"automated,":[133],"performs":[134],"with":[135],"92.6%":[136],"precision":[137],"at":[138],"90%":[139],"recall":[140],"on":[141],"dataset":[143],"16":[145],"real":[146],"meetings":[147],"spanning":[148],"total":[150],"13":[152],"hours.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
