{"id":"https://openalex.org/W2085638105","doi":"https://doi.org/10.1109/icmlc.2010.5580574","title":"L-GEM based RBFNN for news anchorperson detection with Dominant Color Descriptor","display_name":"L-GEM based RBFNN for news anchorperson detection with Dominant Color Descriptor","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2085638105","doi":"https://doi.org/10.1109/icmlc.2010.5580574","mag":"2085638105"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2010.5580574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5580574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5040045629","display_name":"Xiao Wei","orcid":"https://orcid.org/0000-0002-7872-1719"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xiao","raw_affiliation_strings":["Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, China","Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, 510006, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, 510006, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105759393","display_name":"Wing W. Y. Ng","orcid":"https://orcid.org/0000-0003-0783-3585"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wing W. Y. Ng","raw_affiliation_strings":["Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, China","Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, 510006, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, 510006, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031854980","display_name":"Patrick P. K. Chan","orcid":"https://orcid.org/0000-0001-7774-580X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Patrick P. K. Chan","raw_affiliation_strings":["Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, China","Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, 510006, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, 510006, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006543313","display_name":"Daniel Yeung","orcid":"https://orcid.org/0000-0001-9397-8865"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daniel S. Yeung","raw_affiliation_strings":["Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, China","Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, 510006, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, 510006, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":null,"first_page":"763","last_page":"768"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9796000123023987,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.968500018119812,"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":0.7795964479446411},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6425470113754272},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5940157175064087},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5508062839508057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4097795784473419},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3855472505092621},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06450682878494263}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7795964479446411},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6425470113754272},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5940157175064087},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5508062839508057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4097795784473419},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3855472505092621},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06450682878494263},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2010.5580574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5580574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1486941734","https://openalex.org/W1496273769","https://openalex.org/W1524525978","https://openalex.org/W1553682123","https://openalex.org/W1617199613","https://openalex.org/W2007619679","https://openalex.org/W2018689336","https://openalex.org/W2098767950","https://openalex.org/W2100792117","https://openalex.org/W2109111678","https://openalex.org/W2111873121","https://openalex.org/W2123926372","https://openalex.org/W2128673997","https://openalex.org/W2136199123","https://openalex.org/W2145039909","https://openalex.org/W2168026884","https://openalex.org/W2169657882","https://openalex.org/W2171604354","https://openalex.org/W2353968883","https://openalex.org/W2905853508","https://openalex.org/W6632831096","https://openalex.org/W6636450214","https://openalex.org/W6675095111","https://openalex.org/W6680447095"],"related_works":["https://openalex.org/W4214877189","https://openalex.org/W2074502265","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2366718574","https://openalex.org/W4388696151","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W2188505374","https://openalex.org/W1558342070"],"abstract_inverted_index":{"News":[0],"reports":[1],"in":[2,64,83,121],"TV":[3,139],"provide":[4,26],"important":[5],"and":[6,12,20],"timely":[7],"information":[8],"about":[9],"the":[10,13,54,59,65,79,107,116,128],"city":[11],"world":[14],"to":[15,53,77,94,114],"citizens.":[16],"Moreover,":[17],"data":[18],"mining":[19],"indexing":[21],"of":[22,30,37,56,67,118],"news":[23,33,41,49,57,60,69,80,84,119,135],"video":[24,34,96,122],"clips":[25],"a":[27,74],"good":[28],"source":[29],"information.":[31],"However,":[32],"usually":[35,62],"consists":[36],"more":[38],"than":[39],"one":[40],"story.":[42,70],"One":[43],"must":[44],"split":[45],"them":[46],"into":[47],"individual":[48],"before":[50],"indexing.":[51],"Owing":[52],"nature":[55],"reports,":[58],"anchorperson":[61,81,120],"appears":[63],"transition":[66],"two":[68],"Therefore,":[71],"we":[72],"propose":[73],"new":[75],"method":[76,130],"find":[78],"shot":[82],"video.":[85],"The":[86],"MPEG-7":[87],"Dominant":[88],"Color":[89],"Descriptor":[90],"(DCD)":[91],"is":[92,112,131],"adopted":[93,113],"describe":[95],"frames.":[97,123],"Radial":[98],"Basis":[99],"Function":[100],"Neural":[101],"Network":[102],"(RBFNN)":[103],"trained":[104],"by":[105],"minimizing":[106],"Localized":[108],"Generalization":[109],"Error":[110],"(L-GEM)":[111],"classify":[115],"occurrence":[117],"Experimental":[124],"results":[125],"show":[126],"that":[127],"proposed":[129],"accurate":[132],"for":[133],"different":[134,138],"videos":[136],"from":[137],"stations.":[140]},"counts_by_year":[{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}