{"id":"https://openalex.org/W1974612252","doi":"https://doi.org/10.1109/fskd.2012.6234003","title":"TV commercial detection using constrained viterbi algorithm based on time distribution","display_name":"TV commercial detection using constrained viterbi algorithm based on time distribution","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W1974612252","doi":"https://doi.org/10.1109/fskd.2012.6234003","mag":"1974612252"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2012.6234003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2012.6234003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th International Conference on Fuzzy Systems and Knowledge Discovery","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/A5100335207","display_name":"Bo Zhang","orcid":"https://orcid.org/0000-0001-8326-2329"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Zhang","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China","Institute of Automation Chinese Academy of Sciences, Beijing, 100190, CHINA"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Automation Chinese Academy of Sciences, Beijing, 100190, CHINA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039248257","display_name":"Bailan Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bailan Feng","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China","Institute of Automation Chinese Academy of Sciences, Beijing, 100190, CHINA"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Automation Chinese Academy of Sciences, Beijing, 100190, CHINA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055398131","display_name":"Peng Ding","orcid":"https://orcid.org/0000-0003-1959-7794"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Ding","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China","Institute of Automation Chinese Academy of Sciences, Beijing, 100190, CHINA"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Automation Chinese Academy of Sciences, Beijing, 100190, CHINA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020681500","display_name":"Bo Xu","orcid":"https://orcid.org/0000-0002-2083-4307"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Xu","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China","Institute of Automation Chinese Academy of Sciences, Beijing, 100190, CHINA"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Automation Chinese Academy of Sciences, Beijing, 100190, CHINA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100335207"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"],"apc_list":null,"apc_paid":null,"fwci":0.5491,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.65893107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2010","last_page":"2014"},"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":0.989300012588501,"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/T12720","display_name":"Multimedia Communication and Technology","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8112731575965881},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.7887667417526245},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5628770589828491},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5490765571594238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45712772011756897},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45346394181251526},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4509548246860504},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.44246238470077515},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.44161468744277954},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4272676706314087},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4136286675930023},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3952449560165405},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33455103635787964},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1155000627040863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8112731575965881},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.7887667417526245},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5628770589828491},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5490765571594238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45712772011756897},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45346394181251526},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4509548246860504},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.44246238470077515},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.44161468744277954},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4272676706314087},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4136286675930023},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3952449560165405},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33455103635787964},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1155000627040863},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2012.6234003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2012.6234003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th International Conference on Fuzzy Systems and Knowledge Discovery","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W199881024","https://openalex.org/W2015168936","https://openalex.org/W2026013414","https://openalex.org/W2032296614","https://openalex.org/W2113011931","https://openalex.org/W2113927635","https://openalex.org/W2119624662","https://openalex.org/W2124851827","https://openalex.org/W2143743639","https://openalex.org/W2145899837","https://openalex.org/W2151579373","https://openalex.org/W2158261396","https://openalex.org/W2160970617","https://openalex.org/W6608150182","https://openalex.org/W6677534119"],"related_works":["https://openalex.org/W2136652457","https://openalex.org/W2169849734","https://openalex.org/W2160171981","https://openalex.org/W2116722627","https://openalex.org/W2385954530","https://openalex.org/W4324119469","https://openalex.org/W1975869217","https://openalex.org/W2236912844","https://openalex.org/W2129150969","https://openalex.org/W2401728283"],"abstract_inverted_index":{"TV":[0,17,153],"Commercials":[1],"play":[2],"an":[3],"important":[4],"role":[5],"in":[6,16,41],"our":[7],"lives,":[8],"and":[9,27,45,61,70,125,156,162],"automatic":[10],"commercial":[11,39,66,89,108,129,144,166,176],"detection":[12],"is":[13,136],"very":[14],"useful":[15],"video":[18,154],"analysis.":[19],"Most":[20],"of":[21,30,36,38,88,103,107,123,128,143,160,165,175],"previous":[22],"works":[23],"focus":[24],"on":[25,150],"visual":[26,69],"audio":[28,59,71],"features":[29,60,72],"commercial,":[31],"while":[32],"ignoring":[33],"the":[34,86,121,140],"information":[35],"distributions":[37,122,159],"blocks":[40,130,167],"different":[42],"program":[43],"types":[44],"broadcast":[46],"times.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51],"propose":[52],"a":[53,104,112,151],"novel":[54],"method":[55],"to":[56,64,84,138,171],"fuse":[57],"visual,":[58],"global":[62,173],"characteristics":[63,170],"detect":[65],"blocks.":[67,177],"Firstly,":[68],"such":[73],"as":[74,101],"FMPI":[75],"(Image":[76],"Frames":[77],"Marked":[78],"with":[79,115,131],"Product":[80],"Information)":[81],"are":[82,99,119,168],"utilized":[83],"predict":[85],"probabilities":[87,98],"shot":[90],"using":[91],"SVM":[92],"classifier.":[93],"And":[94],"then,":[95],"these":[96],"output":[97],"regarded":[100],"observations":[102],"Markov":[105],"Chain":[106],"shots.":[109,145],"At":[110],"last,":[111],"viterbi":[113],"algorithm":[114],"time":[116,127,164],"constraints,":[117],"which":[118],"modeled":[120],"duration":[124,161],"inter-arrival":[126,163],"GMM":[132],"(Gaussian":[133],"Mixture":[134],"Model),":[135],"applied":[137],"search":[139],"optimal":[141],"path":[142],"Experiments":[146],"get":[147],"promising":[148],"performance":[149],"real":[152],"database,":[155],"show":[157],"that":[158],"good":[169],"capture":[172],"feature":[174]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
