{"id":"https://openalex.org/W2049200235","doi":"https://doi.org/10.1145/1666091.1666101","title":"Automatic frame extraction for improving content-based image retrieval of historical photographs","display_name":"Automatic frame extraction for improving content-based image retrieval of historical photographs","publication_year":2008,"publication_date":"2008-10-26","ids":{"openalex":"https://openalex.org/W2049200235","doi":"https://doi.org/10.1145/1666091.1666101","mag":"2049200235"},"language":"en","primary_location":{"id":"doi:10.1145/1666091.1666101","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1666091.1666101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Brazilian Symposium on Multimedia and the Web","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/A5046167726","display_name":"A. Lopes","orcid":"https://orcid.org/0000-0002-9194-9419"},"institutions":[{"id":"https://openalex.org/I3122449915","display_name":"Universidade Estadual de Santa Cruz","ror":"https://ror.org/01zwq4y59","country_code":"BR","type":"education","lineage":["https://openalex.org/I3122449915"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Ana Paula B. Lopes","raw_affiliation_strings":["Minas Gerais Federal University, Minas Gerais, Brazil and Santa Cruz State University, Ilh\u00e9us, Bahia, Brazil"],"affiliations":[{"raw_affiliation_string":"Minas Gerais Federal University, Minas Gerais, Brazil and Santa Cruz State University, Ilh\u00e9us, Bahia, Brazil","institution_ids":["https://openalex.org/I3122449915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022786810","display_name":"David Lunardi Flam","orcid":null},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"David L. Flam","raw_affiliation_strings":["Minas Gerais Federal University, Minas Gerais, Brazil"],"affiliations":[{"raw_affiliation_string":"Minas Gerais Federal University, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102730110","display_name":"Nat\u00e1lia Cosse Batista","orcid":"https://orcid.org/0000-0003-4618-0433"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Nat\u00e1lia. C. Batista","raw_affiliation_strings":["Minas Gerais Federal University, Minas Gerais, Brazil"],"affiliations":[{"raw_affiliation_string":"Minas Gerais Federal University, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057680257","display_name":"Sandra Avila","orcid":"https://orcid.org/0000-0001-9068-938X"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Sandra E. F. de Avila","raw_affiliation_strings":["Minas Gerais Federal University, Minas Gerais, Brazil"],"affiliations":[{"raw_affiliation_string":"Minas Gerais Federal University, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084044470","display_name":"Jussara M. Almeida","orcid":"https://orcid.org/0000-0001-9142-2919"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jussara M. Almeida","raw_affiliation_strings":["Minas Gerais Federal University, Minas Gerais, Brazil"],"affiliations":[{"raw_affiliation_string":"Minas Gerais Federal University, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103622466","display_name":"Arnaldo de Albuquerque Ara\u00fajo","orcid":"https://orcid.org/0009-0003-7254-2001"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Arnaldo de A. Ara\u00fajo","raw_affiliation_strings":["Minas Gerais Federal University, Minas Gerais, Brazil"],"affiliations":[{"raw_affiliation_string":"Minas Gerais Federal University, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I110200422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5046167726"],"corresponding_institution_ids":["https://openalex.org/I3122449915"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08962921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"44","last_page":"50"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9998000264167786,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9998000264167786,"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":0.9987999796867371,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9979000091552734,"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":0.7766529321670532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7120839953422546},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7051588296890259},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.6669055223464966},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6613394021987915},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6431555151939392},{"id":"https://openalex.org/keywords/parallelogram","display_name":"Parallelogram","score":0.638076663017273},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5125181674957275},{"id":"https://openalex.org/keywords/key-frame","display_name":"Key frame","score":0.4965134263038635},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.452497661113739},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4484614133834839},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4478602409362793},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42094337940216064},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37064820528030396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7766529321670532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7120839953422546},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7051588296890259},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.6669055223464966},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6613394021987915},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6431555151939392},{"id":"https://openalex.org/C53118041","wikidata":"https://www.wikidata.org/wiki/Q45867","display_name":"Parallelogram","level":3,"score":0.638076663017273},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5125181674957275},{"id":"https://openalex.org/C2780139006","wikidata":"https://www.wikidata.org/wiki/Q1493902","display_name":"Key frame","level":3,"score":0.4965134263038635},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.452497661113739},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4484614133834839},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4478602409362793},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42094337940216064},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37064820528030396},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1666091.1666101","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1666091.1666101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Brazilian Symposium on Multimedia and the Web","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322980","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de Minas Gerais","ror":"https://ror.org/00nc55f03"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W48298789","https://openalex.org/W107968503","https://openalex.org/W1461677342","https://openalex.org/W1496940124","https://openalex.org/W1541960437","https://openalex.org/W1565828205","https://openalex.org/W1579869106","https://openalex.org/W2009683496","https://openalex.org/W2097576699","https://openalex.org/W2113294746","https://openalex.org/W2154864584","https://openalex.org/W2942827234","https://openalex.org/W4237938455","https://openalex.org/W4250278453","https://openalex.org/W6604428989","https://openalex.org/W6629902689"],"related_works":["https://openalex.org/W4298181155","https://openalex.org/W4210985719","https://openalex.org/W2127261674","https://openalex.org/W78786167","https://openalex.org/W2949507605","https://openalex.org/W4249323188","https://openalex.org/W2387120636","https://openalex.org/W2055676168","https://openalex.org/W2350170215","https://openalex.org/W2026896861"],"abstract_inverted_index":{"In":[0],"this":[1,88],"paper,":[2],"we":[3],"propose":[4],"and":[5,24,36,102,111,121],"evaluate":[6],"a":[7,14,51,81,92,107],"method":[8,43,120],"for":[9],"automatic":[10],"frame":[11,100],"extraction":[12],"from":[13],"collection":[15],"of":[16,32,87,106,109],"historical":[17],"photographs.":[18],"These":[19],"frames":[20],"are":[21],"very":[22],"noisy":[23],"were":[25],"demonstrated":[26],"to":[27,67,76,96,116,122],"significantly":[28],"affect":[29],"the":[30,39,61,98,104,118],"results":[31],"content-based":[33],"image":[34,62],"indexing":[35],"retrieval":[37],"in":[38,59],"photograph":[40],"images.":[41],"The":[42],"is":[44,63,73],"based":[45],"on":[46],"parallelogram":[47],"detection":[48],"that":[49],"uses":[50],"Hough":[52,57],"transform":[53],"variation":[54],"called":[55],"Tiled":[56],"Transform":[58],"which":[60],"split":[64],"into":[65,80],"tiles":[66],"reduce":[68],"computational":[69],"complexity.":[70],"This":[71],"detector":[72],"then":[74],"extended":[75],"combine":[77],"detected":[78],"parallelograms":[79],"resulting":[82],"frame.":[83],"Two":[84],"key":[85],"contributions":[86],"work":[89],"are:":[90],"(1)":[91],"new":[93],"effective":[94],"technique":[95],"solve":[97],"photographs":[99],"problem,":[101],"(2)":[103],"use":[105],"set":[108],"statistical":[110],"experimental":[112],"design":[113],"techniques":[114],"either":[115],"fine-tune":[117],"proposed":[119],"demonstrate":[123],"its":[124],"effectiveness.":[125]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}