{"id":"https://openalex.org/W2136354324","doi":"https://doi.org/10.1109/icme.2007.4284704","title":"An SVM Framework for Genre-Independent Scene Change Detection","display_name":"An SVM Framework for Genre-Independent Scene Change Detection","publication_year":2007,"publication_date":"2007-07-01","ids":{"openalex":"https://openalex.org/W2136354324","doi":"https://doi.org/10.1109/icme.2007.4284704","mag":"2136354324"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2007.4284704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2007.4284704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia and Expo, 2007 IEEE International Conference on","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/A5025728381","display_name":"Naveen Goela","orcid":"https://orcid.org/0000-0003-2618-1834"},"institutions":[{"id":"https://openalex.org/I1306287861","display_name":"Mitsubishi Group (Japan)","ror":"https://ror.org/0234cd281","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861"]},{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["JP","US"],"is_corresponding":true,"raw_author_name":"Naveen Goela","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA","Mitsubishi Electr. Res. Labs, Cambridge"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"Mitsubishi Electr. Res. Labs, Cambridge","institution_ids":["https://openalex.org/I1306287861"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087313939","display_name":"Kevin Wilson","orcid":"https://orcid.org/0000-0001-9141-2219"},"institutions":[{"id":"https://openalex.org/I1306287861","display_name":"Mitsubishi Group (Japan)","ror":"https://ror.org/0234cd281","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861"]},{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Kevin Wilson","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA","Mitsubishi Electr. Res. Labs, Cambridge"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"Mitsubishi Electr. Res. Labs, Cambridge","institution_ids":["https://openalex.org/I1306287861"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039949603","display_name":"Feng Niu","orcid":"https://orcid.org/0000-0003-2465-647X"},"institutions":[{"id":"https://openalex.org/I1306287861","display_name":"Mitsubishi Group (Japan)","ror":"https://ror.org/0234cd281","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861"]},{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Feng Niu","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA","Mitsubishi Electr. Res. Labs, Cambridge"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"Mitsubishi Electr. Res. Labs, Cambridge","institution_ids":["https://openalex.org/I1306287861"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028124265","display_name":"Ajay Divakaran","orcid":"https://orcid.org/0000-0003-0371-5346"},"institutions":[{"id":"https://openalex.org/I1306287861","display_name":"Mitsubishi Group (Japan)","ror":"https://ror.org/0234cd281","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861"]},{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Ajay Divakaran","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA","Mitsubishi Electr. Res. Labs, Cambridge"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"Mitsubishi Electr. Res. Labs, Cambridge","institution_ids":["https://openalex.org/I1306287861"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081175143","display_name":"Isao Otsuka","orcid":null},"institutions":[{"id":"https://openalex.org/I39854257","display_name":"Mitsubishi Electric (Germany)","ror":"https://ror.org/04ccqwj03","country_code":"DE","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I39854257","https://openalex.org/I4210133125"]},{"id":"https://openalex.org/I4210133125","display_name":"Mitsubishi Electric (Japan)","ror":"https://ror.org/033y26782","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125"]}],"countries":["DE","JP"],"is_corresponding":false,"raw_author_name":"Isao Otsuka","raw_affiliation_strings":["Mitsubishi Electric Corporation Limited, Kyoto, Japan","Mitsubishi Electric Corporation, Kyoto, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Corporation Limited, Kyoto, Japan","institution_ids":["https://openalex.org/I4210133125"]},{"raw_affiliation_string":"Mitsubishi Electric Corporation, Kyoto, Japan#TAB#","institution_ids":["https://openalex.org/I39854257"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5025728381"],"corresponding_institution_ids":["https://openalex.org/I1306287861","https://openalex.org/I4210159266"],"apc_list":null,"apc_paid":null,"fwci":2.6302,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.90700736,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"532","last_page":"535"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9970999956130981,"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":0.9656999707221985,"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":0.8109717965126038},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7010289430618286},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6622945070266724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6215499043464661},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5974727869033813},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5260888338088989},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4988110065460205},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4960208833217621},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.450437068939209},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4481302499771118},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4097290635108948},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3436398208141327},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3423299491405487},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25371038913726807}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8109717965126038},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7010289430618286},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6622945070266724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6215499043464661},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5974727869033813},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5260888338088989},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4988110065460205},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4960208833217621},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.450437068939209},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4481302499771118},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4097290635108948},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3436398208141327},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3423299491405487},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25371038913726807},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2007.4284704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2007.4284704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia and Expo, 2007 IEEE International Conference on","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.331.1310","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.1310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.merl.com/papers/docs/TR2007-033.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W137585820","https://openalex.org/W1940377967","https://openalex.org/W2061781940","https://openalex.org/W2064912363","https://openalex.org/W2124660252","https://openalex.org/W2143092130","https://openalex.org/W2148133957","https://openalex.org/W2169572267","https://openalex.org/W2171033594","https://openalex.org/W6605678182","https://openalex.org/W6680828760","https://openalex.org/W6681795338"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W2325697621"],"abstract_inverted_index":{"We":[0,100,118],"present":[1],"a":[2,20,59,108],"novel":[3],"genre-independent":[4],"SVM":[5],"framework":[6,15],"for":[7,71,124],"detecting":[8],"scene":[9,56],"changes":[10],"in":[11,107],"broadcast":[12,63],"video.":[13],"Our":[14,74],"works":[16],"on":[17,129],"content":[18],"from":[19,31,58,139],"diverse":[21],"range":[22],"of":[23,28,46,62,104,132,136],"genres":[24,64],"by":[25],"allowing":[26],"sets":[27],"features,":[29],"extracted":[30],"both":[32],"audio":[33,79],"and":[34,40,68,85,147],"video":[35,55,93],"streams,":[36],"to":[37,65],"be":[38],"combined":[39],"compared":[41],"automatically":[42],"without":[43],"the":[44,72,102],"use":[45,53],"explicit":[47],"thresholds.":[48],"For":[49],"ground":[50],"truth,":[51],"we":[52],"hand-labeled":[54],"boundaries":[57],"wide":[60],"variety":[61],"generate":[66],"positive":[67,127],"negative":[69],"samples":[70],"SVM.":[73],"experiments":[75],"include":[76],"high-and":[77],"low-level":[78],"features":[80,94],"such":[81,95],"as":[82,90,92,96],"semantic":[83],"histograms":[84],"distances":[86],"between":[87],"Gaussian":[88],"models,":[89],"well":[91],"shot":[97],"cut":[98],"positions.":[99],"evaluate":[101],"importance":[103],"these":[105],"measures":[106],"structured":[109],"frame-work,":[110],"with":[111],"performance":[112],"comparisons":[113],"obtained":[114],"via":[115],"ROC":[116],"curves.":[117],"achieve":[119],"over":[120,133],"70%":[121],"detection":[122],"rate":[123,128],"10%":[125],"false":[126],"our":[130],"corpus":[131],"7.5":[134],"hours":[135],"data":[137],"collected":[138],"news,":[140],"talk":[141],"shows,":[142],"sitcoms,":[143],"dramas,":[144],"music":[145],"videos,":[146],"how-to":[148],"shows.":[149]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
