{"id":"https://openalex.org/W2144163791","doi":"https://doi.org/10.1145/1142020.1142021","title":"Learning rich semantics from news video archives by style analysis","display_name":"Learning rich semantics from news video archives by style analysis","publication_year":2006,"publication_date":"2006-05-01","ids":{"openalex":"https://openalex.org/W2144163791","doi":"https://doi.org/10.1145/1142020.1142021","mag":"2144163791"},"language":"en","primary_location":{"id":"doi:10.1145/1142020.1142021","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1142020.1142021","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-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/A5024508073","display_name":"Cees G. M. Snoek","orcid":"https://orcid.org/0000-0001-9092-1556"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Cees G. M. Snoek","raw_affiliation_strings":["University of Amsterdam, Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070684680","display_name":"Marcel Worring","orcid":"https://orcid.org/0000-0003-4097-4136"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Marcel Worring","raw_affiliation_strings":["University of Amsterdam, Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107836252","display_name":"Alexander G. Hauptmann","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander G. Hauptmann","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024508073"],"corresponding_institution_ids":["https://openalex.org/I887064364"],"apc_list":null,"apc_paid":null,"fwci":7.5866,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.97757539,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2","issue":"2","first_page":"91","last_page":"108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":1.0,"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":1.0,"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/T11309","display_name":"Music and Audio Processing","score":0.9993000030517578,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9988999962806702,"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":0.8370856046676636},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.720517098903656},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7122331857681274},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.65431809425354},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5744050145149231},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5125874876976013},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.49475759267807007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41410383582115173},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35986819863319397},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1552087366580963}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8370856046676636},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.720517098903656},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7122331857681274},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.65431809425354},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5744050145149231},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5125874876976013},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49475759267807007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41410383582115173},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35986819863319397},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1552087366580963},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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":10,"locations":[{"id":"doi:10.1145/1142020.1142021","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1142020.1142021","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/255e0956-0e03-47ac-aa3d-edd16a090b18","is_oa":false,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/learning-rich-semantics-from-news-video-archives-by-style-analysis(255e0956-0e03-47ac-aa3d-edd16a090b18).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Snoek, C G M, Worring, M & Hauptmann, A G 2006, 'Learning Rich Semantics from News Video Archives by Style Analysis', ACM Transactions on Multimedia Computing Communications and Applications, vol. 2, no. 2, pp. 91-108. https://doi.org/10.1145/1142020.1142021","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:repository.cmu.edu:compsci-1960","is_oa":false,"landing_page_url":"http://repository.cmu.edu/compsci/962","pdf_url":null,"source":{"id":"https://openalex.org/S4306400668","display_name":"Research Showcase @ Carnegie Mellon University (Carnegie Mellon University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I74973139","host_organization_name":"Carnegie Mellon University","host_organization_lineage":["https://openalex.org/I74973139"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Science Department","raw_type":"text"},{"id":"pmh:doi:10.1184/r1/6606905","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal contribution"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.467.1297","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.467.1297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.77.8709","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.77.8709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://staff.science.uva.nl/~cgmsnoek/pub/snoek-style-tomccap.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.87.1850","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.1850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://lastlaugh.inf.cs.cmu.edu/alex/snoek-style.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.922.63","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.922.63","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://repository.cmu.edu/cgi/viewcontent.cgi?article%3D1960%26context%3Dcompsci","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.924.4250","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.924.4250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Marcel_Worring/publication/228365086_Learning_rich_semantics_from_news_video_archives_by_style_analysis/links/0912f5089325e52093000000.pdf","raw_type":"text"},{"id":"pmh:uvapub:oai:dare.uva.nl:publications/255e0956-0e03-47ac-aa3d-edd16a090b18","is_oa":false,"landing_page_url":"https://dare.uva.nl/personal/pure/en/publications/learning-rich-semantics-from-news-video-archives-by-style-analysis(255e0956-0e03-47ac-aa3d-edd16a090b18).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM Transactions on Multimedia Computing Communications and Applications, 2(2), 91 - 108. Association for Computing Machinery (ACM)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310207","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33"},{"id":"https://openalex.org/F4320332178","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W125334375","https://openalex.org/W1484090011","https://openalex.org/W1520377376","https://openalex.org/W1575736368","https://openalex.org/W1592225080","https://openalex.org/W1931334728","https://openalex.org/W1956559956","https://openalex.org/W1967661515","https://openalex.org/W1987195112","https://openalex.org/W2004022026","https://openalex.org/W2004367373","https://openalex.org/W2016243284","https://openalex.org/W2075727791","https://openalex.org/W2080957047","https://openalex.org/W2085425470","https://openalex.org/W2090874155","https://openalex.org/W2092734820","https://openalex.org/W2093717447","https://openalex.org/W2096479579","https://openalex.org/W2098485566","https://openalex.org/W2106129249","https://openalex.org/W2114762973","https://openalex.org/W2115439269","https://openalex.org/W2119288237","https://openalex.org/W2119627789","https://openalex.org/W2123778039","https://openalex.org/W2124319216","https://openalex.org/W2130660124","https://openalex.org/W2132549764","https://openalex.org/W2140187124","https://openalex.org/W2142189054","https://openalex.org/W2146025803","https://openalex.org/W2148512378","https://openalex.org/W2153635508","https://openalex.org/W2156567019","https://openalex.org/W2156909104","https://openalex.org/W2161452526","https://openalex.org/W2166770390","https://openalex.org/W2548695521","https://openalex.org/W2623012778","https://openalex.org/W2912934387","https://openalex.org/W2917011293","https://openalex.org/W4230674625","https://openalex.org/W4285719527","https://openalex.org/W6640862754","https://openalex.org/W6729382431"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"We":[0,20],"propose":[1],"a":[2,15,59,64,81,126],"generic":[3],"and":[4],"robust":[5,88],"framework":[6,86,148],"for":[7,32,70,149],"news":[8,17,61,96,117],"video":[9,62,118],"indexing":[10,38],"which":[11,40],"we":[12,47,57,138],"founded":[13],"on":[14,110],"broadcast":[16],"production":[18,26,45,72,107,130],"model.":[19],"identify":[21],"within":[22],"this":[23,42],"model":[24],"four":[25],"phases,":[27],"each":[28,71],"providing":[29],"useful":[30],"metadata":[31],"annotation.":[33],"In":[34,136],"contrast":[35],"to":[36,49],"semiautomatic":[37],"approaches":[39],"exploit":[41],"information":[43],"at":[44],"time,":[46],"adhere":[48],"an":[50,111],"automatic":[51],"data-driven":[52],"approach.":[53],"To":[54],"that":[55,100,125,140],"end,":[56],"analyze":[58],"digital":[60],"using":[63],"separate":[65],"set":[66],"of":[67,90,113,116,129,143,151],"multimodal":[68],"detectors":[69],"phase.":[73],"By":[74],"combining":[75],"the":[76,85,120,133,141,144],"resulting":[77],"production-derived":[78],"features":[79],"into":[80],"statistical":[82],"classifier":[83],"ensemble,":[84],"facilitates":[87],"classification":[89,150],"several":[91,152],"rich":[92,98,153],"semantic":[93,154],"concepts":[94,101,155],"in":[95,105],"video;":[97],"meaning":[99],"share":[102],"many":[103],"similarities":[104],"their":[106],"process.":[108],"Experiments":[109],"archive":[112],"120":[114],"hours":[115],"from":[119],"2003":[121],"TRECVID":[122],"benchmark":[123],"show":[124],"combined":[127],"analysis":[128,147],"phases":[131],"yields":[132],"best":[134],"results.":[135],"addition,":[137],"demonstrate":[139],"accuracy":[142],"proposed":[145],"style":[146],"is":[156],"state-of-the-art.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}