{"id":"https://openalex.org/W2105061659","doi":"https://doi.org/10.1109/icpr.2008.4761671","title":"Video caption duration extraction","display_name":"Video caption duration extraction","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2105061659","doi":"https://doi.org/10.1109/icpr.2008.4761671","mag":"2105061659"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4761671","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761671","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/A5101170186","display_name":"Hongliang Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongliang Bai","raw_affiliation_strings":["Fujitsu Research and Development Center Company Limited, Beijing, China","Fujitsu Res.&Dev. Center Co. Ltd., Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Research and Development Center Company Limited, Beijing, China","institution_ids":["https://openalex.org/I4210159607"]},{"raw_affiliation_string":"Fujitsu Res.&Dev. Center Co. Ltd., Beijing","institution_ids":["https://openalex.org/I4210159607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327195","display_name":"Jun Sun","orcid":"https://orcid.org/0000-0002-0967-4859"},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Sun","raw_affiliation_strings":["Fujitsu Research and Development Center Company Limited, Beijing, China","Fujitsu Res.&Dev. Center Co. Ltd., Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Research and Development Center Company Limited, Beijing, China","institution_ids":["https://openalex.org/I4210159607"]},{"raw_affiliation_string":"Fujitsu Res.&Dev. Center Co. Ltd., Beijing","institution_ids":["https://openalex.org/I4210159607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031845777","display_name":"Satoshi Naoi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Satoshi Naoi","raw_affiliation_strings":["Fujitsu Research and Development Center Company Limited, Beijing, China","Fujitsu Res.&Dev. Center Co. Ltd., Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Research and Development Center Company Limited, Beijing, China","institution_ids":["https://openalex.org/I4210159607"]},{"raw_affiliation_string":"Fujitsu Res.&Dev. Center Co. Ltd., Beijing","institution_ids":["https://openalex.org/I4210159607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038208698","display_name":"Yutaka Katsuyama","orcid":"https://orcid.org/0000-0003-3750-7692"},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yutaka Katsuyama","raw_affiliation_strings":["Fujitsu Laboratories Limited, Kawasaki, Japan","Fujitsu Labs. Ltd., Kawasaki#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories Limited, Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]},{"raw_affiliation_string":"Fujitsu Labs. Ltd., Kawasaki#TAB#","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102252867","display_name":"Yoshinobu Hotta","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshinobu Hotta","raw_affiliation_strings":["Fujitsu Laboratories Limited, Kawasaki, Japan","Fujitsu Labs. Ltd., Kawasaki#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories Limited, Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]},{"raw_affiliation_string":"Fujitsu Labs. Ltd., Kawasaki#TAB#","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025461898","display_name":"K. Fujimoto","orcid":"https://orcid.org/0000-0001-6224-7867"},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsuhito Fujimoto","raw_affiliation_strings":["Fujitsu Laboratories Limited, Kawasaki, Japan","Fujitsu Labs. Ltd., Kawasaki#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories Limited, Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]},{"raw_affiliation_string":"Fujitsu Labs. Ltd., Kawasaki#TAB#","institution_ids":["https://openalex.org/I2252096349"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8633,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.62259101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"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/T11439","display_name":"Video Analysis and Summarization","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/T11439","display_name":"Video Analysis and Summarization","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9921000003814697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.828000009059906},{"id":"https://openalex.org/keywords/duration","display_name":"Duration (music)","score":0.7576656937599182},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6595368385314941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5832638740539551},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.5732330679893494},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5370650887489319},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5185319185256958},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4576936364173889},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41295087337493896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.828000009059906},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.7576656937599182},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6595368385314941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5832638740539551},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.5732330679893494},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5370650887489319},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5185319185256958},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4576936364173889},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41295087337493896},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2008.4761671","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761671","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2014411734","https://openalex.org/W2111308925","https://openalex.org/W2114449851","https://openalex.org/W2123939650","https://openalex.org/W2131093082","https://openalex.org/W2160619441","https://openalex.org/W2165401735","https://openalex.org/W6678613553"],"related_works":["https://openalex.org/W2348837382","https://openalex.org/W746329893","https://openalex.org/W4205872570","https://openalex.org/W4245971243","https://openalex.org/W1922805944","https://openalex.org/W4253588120","https://openalex.org/W2383732295","https://openalex.org/W2942717012","https://openalex.org/W4248716494","https://openalex.org/W2358868262"],"abstract_inverted_index":{"Caption":[0],"detection":[1],"in":[2,10,34,55],"the":[3,14,28,31,35,53,56,70,74,77,84,90,93],"video":[4],"is":[5,22,47],"an":[6],"active":[7],"research":[8],"topic":[9],"recent":[11],"years.":[12],"In":[13],"conventional":[15],"methods,":[16],"one":[17],"of":[18,30,73,92],"most":[19],"difficult":[20],"problems":[21],"to":[23,49,68,82],"effectively":[24],"and":[25,44,51],"quickly":[26],"extract":[27],"durations":[29],"different-size":[32],"captions":[33,54],"complex":[36],"background.":[37],"To":[38],"solve":[39],"this":[40],"problem,":[41],"a":[42,63],"novel":[43],"effective":[45],"method":[46,67],"presented":[48],"locate":[50],"track":[52],"video.":[57],"The":[58],"main":[59],"contributions":[60],"are:":[61],"(1)present":[62],"multi-scale":[64],"Harris-corner":[65],"based":[66],"detect":[69],"initial":[71],"position":[72],"caption":[75,85],"(2)propose":[76],"SGF":[78],"(Steady":[79],"Global":[80],"Feature)":[81],"determine":[83],"duration.":[86],"Extensive":[87],"experiments":[88],"demonstrate":[89],"effectiveness":[91],"proposed":[94],"method.":[95]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}