{"id":"https://openalex.org/W2904583850","doi":"https://doi.org/10.1007/s11042-018-6923-3","title":"Violent scene detection algorithm based on kernel extreme learning machine and three-dimensional histograms of gradient orientation","display_name":"Violent scene detection algorithm based on kernel extreme learning machine and three-dimensional histograms of gradient orientation","publication_year":2018,"publication_date":"2018-12-06","ids":{"openalex":"https://openalex.org/W2904583850","doi":"https://doi.org/10.1007/s11042-018-6923-3","mag":"2904583850"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-018-6923-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-018-6923-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-018-6923-3.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11042-018-6923-3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101672023","display_name":"Jing Yu","orcid":"https://orcid.org/0000-0002-7577-5893"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Yu","raw_affiliation_strings":["School of Electronic Information and Engineering, Beijing Jiaotong University, Beijing, 100044, China"],"raw_orcid":"https://orcid.org/0000-0002-7577-5893","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Engineering, Beijing Jiaotong University, Beijing, 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100628752","display_name":"Wei Song","orcid":"https://orcid.org/0000-0002-2324-4302"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Song","raw_affiliation_strings":["School of Information and Engineering, Minzu University of China, Beijing, 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Engineering, Minzu University of China, Beijing, 100081, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109304714","display_name":"Guozhu Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152042","display_name":"Beijing Polytechnic","ror":"https://ror.org/03xgzn792","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guozhu Zhou","raw_affiliation_strings":["Beijing Polytechnic, Beijing, 100176, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Polytechnic, Beijing, 100176, China","institution_ids":["https://openalex.org/I4210152042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103002854","display_name":"Jianjun Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian-jun Hou","raw_affiliation_strings":["School of Electronic Information and Engineering, Beijing Jiaotong University, Beijing, 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Engineering, Beijing Jiaotong University, Beijing, 100044, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101672023"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":1.8585,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.89361883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"78","issue":"7","first_page":"8497","last_page":"8512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12676","display_name":"Machine Learning and ELM","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12047","display_name":"Viral Infections and Vectors","score":0.9681000113487244,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9664000272750854,"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":0.8682777881622314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7844716310501099},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6077711582183838},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6042755246162415},{"id":"https://openalex.org/keywords/bag-of-words-model-in-computer-vision","display_name":"Bag-of-words model in computer vision","score":0.5935510396957397},{"id":"https://openalex.org/keywords/bag-of-words-model","display_name":"Bag-of-words model","score":0.5472351312637329},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5274498462677002},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5186589956283569},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.4862571954727173},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.461118221282959},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.43908536434173584},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.41664227843284607},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4101041555404663},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40779441595077515},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.26192307472229004},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14396551251411438},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.13946807384490967},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0786094069480896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8682777881622314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7844716310501099},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6077711582183838},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6042755246162415},{"id":"https://openalex.org/C167611913","wikidata":"https://www.wikidata.org/wiki/Q6884747","display_name":"Bag-of-words model in computer vision","level":5,"score":0.5935510396957397},{"id":"https://openalex.org/C13672336","wikidata":"https://www.wikidata.org/wiki/Q3460803","display_name":"Bag-of-words model","level":2,"score":0.5472351312637329},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5274498462677002},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5186589956283569},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.4862571954727173},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.461118221282959},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.43908536434173584},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.41664227843284607},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4101041555404663},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40779441595077515},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.26192307472229004},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14396551251411438},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.13946807384490967},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0786094069480896},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11042-018-6923-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-018-6923-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-018-6923-3.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11042-018-6923-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-018-6923-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-018-6923-3.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G4164052201","display_name":null,"funder_award_id":"61503424","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G617097228","display_name":"\u8de8\u8bed\u8a00\u793e\u4f1a\u8206\u60c5\u5206\u6790\u57fa\u7840\u7406\u8bba\u4e0e\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61331013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320328117","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904583850.pdf","grobid_xml":"https://content.openalex.org/works/W2904583850.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W195979635","https://openalex.org/W1513753641","https://openalex.org/W1766298000","https://openalex.org/W1931112481","https://openalex.org/W1932571874","https://openalex.org/W1952703253","https://openalex.org/W1984020445","https://openalex.org/W1990217061","https://openalex.org/W2024016554","https://openalex.org/W2024868105","https://openalex.org/W2026131661","https://openalex.org/W2036718463","https://openalex.org/W2054888992","https://openalex.org/W2100495367","https://openalex.org/W2101664593","https://openalex.org/W2111072639","https://openalex.org/W2112415484","https://openalex.org/W2145339207","https://openalex.org/W2161969291","https://openalex.org/W2171868464","https://openalex.org/W2193819129","https://openalex.org/W2280309234","https://openalex.org/W2365457334","https://openalex.org/W2550884770","https://openalex.org/W2623328435"],"related_works":["https://openalex.org/W2391617560","https://openalex.org/W3000274722","https://openalex.org/W2965904543","https://openalex.org/W1615295117","https://openalex.org/W2375570899","https://openalex.org/W2053721431","https://openalex.org/W3032932973","https://openalex.org/W2947115402","https://openalex.org/W1989704487","https://openalex.org/W2063583996"],"abstract_inverted_index":{"Most":[0],"existing":[1],"feature":[2,39,59,83,120,128,136,166],"descriptors":[3],"for":[4,19,90,113,130,179],"video":[5,35,133],"have":[6],"limited":[7],"representation":[8,170],"ability.":[9],"In":[10],"order":[11],"to":[12,76,100,125,147],"improve":[13],"the":[14,21,31,51,81,87,94,105,114,119,149,153,156,164,184,187],"recognition":[15],"accuracy":[16,185],"of":[17,30,34,47,53,107,116,138,155],"method":[18],"detecting":[20],"videos":[22],"that":[23,163],"include":[24],"violent":[25,78,180],"scenes":[26],"and":[27,58,92,135,141,151,171,183,193],"take":[28],"advantage":[29],"logical":[32],"structure":[33],"sequences,":[36],"a":[37,127],"novel":[38],"constructing":[40],"approach":[41,176],"based":[42],"on":[43,86,190,197],"three":[44],"dimensional":[45],"histograms":[46],"gradient":[48],"orientation":[49],"(HOG3D),":[50],"Bag":[52],"Visual":[54],"Words":[55],"(BoVW)":[56],"model,":[57],"pooling":[60,121],"technology":[61,122],"is":[62,84,98,111,123,177],"proposed.":[63],"This":[64],"approach,":[65],"combined":[66],"with":[67],"kernel":[68],"extreme":[69],"learning":[70],"machine":[71],"(KELM),":[72],"can":[73],"be":[74],"used":[75,112,145],"detect":[77],"scene.":[79],"First,":[80],"HOG3D":[82],"extracted":[85],"block":[88],"level":[89],"video,":[91],"then":[93],"K-Means":[95],"clustering":[96],"algorithm":[97],"implemented":[99],"generate":[101,126],"visual":[102,108],"words.":[103],"Then,":[104],"bag":[106],"words":[109],"framework":[110],"quantization":[115],"feature.":[117],"And":[118],"operated":[124],"vector":[129],"an":[131],"entire":[132],"segment,":[134],"vectors":[137],"training":[139],"data":[140,143],"testing":[142],"were":[144],"separately":[146],"train":[148],"model":[150],"evaluate":[152],"performance":[154],"proposed":[157,165,175],"approach.":[158],"The":[159,174],"experimental":[160],"results":[161],"showed":[162],"descriptor":[167],"had":[168],"good":[169],"generalization":[172],"abilities.":[173],"efficient":[178],"scene":[181],"detection,":[182],"matches":[186],"best":[188],"result":[189],"Hockey":[191],"dataset,":[192],"it":[194],"outperforms":[195],"state-of-the-art":[196],"Movies.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
