{"id":"https://openalex.org/W2059229506","doi":"https://doi.org/10.1109/cbmi.2013.6576556","title":"Detecting violent content in Hollywood movies by mid-level audio representations","display_name":"Detecting violent content in Hollywood movies by mid-level audio representations","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2059229506","doi":"https://doi.org/10.1109/cbmi.2013.6576556","mag":"2059229506"},"language":"en","primary_location":{"id":"doi:10.1109/cbmi.2013.6576556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2013.6576556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 11th International Workshop on Content-Based Multimedia Indexing (CBMI)","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/A5043131371","display_name":"Esra Acar","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Esra Acar","raw_affiliation_strings":["DAI Laboratory, Technische Universit\u00e4t Berlin, Berlin, Germany","DAI Lab., Tech. Univ. Berlin, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"DAI Laboratory, Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]},{"raw_affiliation_string":"DAI Lab., Tech. Univ. Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080524660","display_name":"Frank Hopfgartner","orcid":"https://orcid.org/0000-0003-0380-6088"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frank Hopfgartner","raw_affiliation_strings":["DAI Laboratory, Technische Universit\u00e4t Berlin, Berlin, Germany","DAI Lab., Tech. Univ. Berlin, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"DAI Laboratory, Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]},{"raw_affiliation_string":"DAI Lab., Tech. Univ. Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089847337","display_name":"\u015eahin Albayrak","orcid":"https://orcid.org/0000-0001-5092-4584"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sahin Albayrak","raw_affiliation_strings":["DAI Laboratory, Technische Universit\u00e4t Berlin, Berlin, Germany","DAI Lab., Tech. Univ. Berlin, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"DAI Laboratory, Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]},{"raw_affiliation_string":"DAI Lab., Tech. Univ. Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043131371"],"corresponding_institution_ids":["https://openalex.org/I4577782"],"apc_list":null,"apc_paid":null,"fwci":1.6591,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86374322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"32","issue":null,"first_page":"73","last_page":"78"},"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/T11309","display_name":"Music and Audio Processing","score":0.991100013256073,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.988099992275238,"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":0.7820456027984619},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7315714359283447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6423910856246948},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6031381487846375},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.5563437938690186},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.45385298132896423},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4465824067592621},{"id":"https://openalex.org/keywords/hollywood","display_name":"Hollywood","score":0.4388939440250397},{"id":"https://openalex.org/keywords/pornography","display_name":"Pornography","score":0.4302997887134552},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4258460998535156},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.37779372930526733},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3746888041496277},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3737155497074127},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08496034145355225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7820456027984619},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7315714359283447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6423910856246948},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6031381487846375},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.5563437938690186},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.45385298132896423},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4465824067592621},{"id":"https://openalex.org/C2780458788","wikidata":"https://www.wikidata.org/wiki/Q5882564","display_name":"Hollywood","level":2,"score":0.4388939440250397},{"id":"https://openalex.org/C2781301322","wikidata":"https://www.wikidata.org/wiki/Q291","display_name":"Pornography","level":2,"score":0.4302997887134552},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4258460998535156},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.37779372930526733},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3746888041496277},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3737155497074127},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08496034145355225},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C153911025","wikidata":"https://www.wikidata.org/wiki/Q7202","display_name":"Molecular biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cbmi.2013.6576556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2013.6576556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 11th International Workshop on Content-Based Multimedia Indexing (CBMI)","raw_type":"proceedings-article"},{"id":"pmh:doi:10.14279/depositonce-6799","is_oa":false,"landing_page_url":"https://depositonce.tu-berlin.de/handle/11303/7609","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Object"},{"id":"pmh:oai:eprints.gla.ac.uk:101307","is_oa":false,"landing_page_url":"http://eprints.gla.ac.uk/101307/","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":false,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1551909886","https://openalex.org/W1587741888","https://openalex.org/W1999956262","https://openalex.org/W2063978378","https://openalex.org/W2090042335","https://openalex.org/W2099736636","https://openalex.org/W2101664593","https://openalex.org/W2108745803","https://openalex.org/W2112334787","https://openalex.org/W2112447569","https://openalex.org/W2118978333","https://openalex.org/W2147966816","https://openalex.org/W2151532250","https://openalex.org/W2160850850","https://openalex.org/W2171868464","https://openalex.org/W2407534391","https://openalex.org/W2917416935","https://openalex.org/W6633119224","https://openalex.org/W6650430342","https://openalex.org/W6676245398","https://openalex.org/W6676727762","https://openalex.org/W6682195304","https://openalex.org/W6683929432","https://openalex.org/W6685356586","https://openalex.org/W6713831699"],"related_works":["https://openalex.org/W2404514746","https://openalex.org/W2743258233","https://openalex.org/W2336974148","https://openalex.org/W2126100045","https://openalex.org/W2806866760","https://openalex.org/W2786925407","https://openalex.org/W2345184372","https://openalex.org/W2187500075","https://openalex.org/W2381773606","https://openalex.org/W2902062472"],"abstract_inverted_index":{"Movie":[0],"violent":[1,95],"content":[2,15],"detection":[3,34],"e.g.,":[4],"for":[5,21,85],"providing":[6],"automated":[7],"youth":[8],"protection":[9],"services":[10],"is":[11,27],"a":[12,28,48],"valuable":[13],"video":[14,25,87,96],"analysis":[16],"functionality.":[17],"Choosing":[18],"discriminative":[19],"features":[20,43,106],"the":[22,67,73,103,114,118,123,127,131],"representation":[23],"of":[24,144],"segments":[26],"key":[29],"issue":[30],"in":[31,98,130,142],"designing":[32],"violence":[33],"algorithms.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39,111],"employ":[40],"mid-level":[41,104],"audio":[42,105],"which":[44],"are":[45,60],"based":[46],"on":[47,93],"Bag-of-Audio":[49],"Words":[50],"(BoAW)":[51],"method":[52,71,116,125,141],"using":[53],"Mel-Frequency":[54],"Cepstral":[55],"Coefficients":[56],"(MFCCs).":[57],"BoAW":[58],"representations":[59],"constructed":[61],"with":[62],"two":[63],"different":[64],"methods,":[65],"namely":[66],"vector":[68,82],"quantization-based":[69],"(VQ-based)":[70],"and":[72],"sparse":[74],"coding-based":[75],"(SC-based)":[76],"method.":[77],"We":[78],"choose":[79],"two-class":[80],"support":[81],"machines":[83],"(SVMs)":[84],"classifying":[86],"shots":[88,97],"as":[89],"(non-)violent.":[90],"Our":[91],"experiments":[92],"detecting":[94],"Hollywood":[99],"movies":[100],"show":[101],"that":[102,113],"provide":[107],"promising":[108],"results.":[109],"Additionally,":[110],"establish":[112],"SC-based":[115,124],"outperforms":[117,126],"VQ-based":[119],"one.":[120],"More":[121],"importantly,":[122],"unimodal":[128],"submissions":[129],"MediaEval":[132],"Violent":[133],"Scenes":[134],"Detection":[135],"(VSD)":[136],"task,":[137],"except":[138],"one":[139],"vision-based":[140],"terms":[143],"average":[145],"precision.":[146]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
