{"id":"https://openalex.org/W2054888992","doi":"https://doi.org/10.1109/icassp.2014.6854259","title":"Violent video detection based on MoSIFT feature and sparse coding","display_name":"Violent video detection based on MoSIFT feature and sparse coding","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2054888992","doi":"https://doi.org/10.1109/icassp.2014.6854259","mag":"2054888992"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100647349","display_name":"Long Xu","orcid":"https://orcid.org/0000-0002-9286-2876"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Xu","raw_affiliation_strings":["Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","Instn. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Instn. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ., Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679026","display_name":"Chen Gong","orcid":"https://orcid.org/0000-0002-1463-1554"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Gong","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, CN","Instn. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, CN","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Instn. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ., Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404947","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0003-4801-7162"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","Instn. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Instn. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ., Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063629854","display_name":"Qiang Wu","orcid":"https://orcid.org/0000-0001-5641-2483"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qiang Wu","raw_affiliation_strings":["School of Computing and Communications, University of Technology, Sydney, Australia","Sch. of Comput. & Commun., Univ. of Technol., Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Communications, University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Sch. of Comput. & Commun., Univ. of Technol., Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100881531","display_name":"Lixiu Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixiu Yao","raw_affiliation_strings":["Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","Instn. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Instn. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ., Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":146,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3538","last_page":"3542"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9997000098228455,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9997000098228455,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9993000030517578,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983999729156494,"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/discriminative-model","display_name":"Discriminative model","score":0.8361880779266357},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7826433181762695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7285148501396179},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.7195593118667603},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5939396023750305},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.543550968170166},{"id":"https://openalex.org/keywords/bag-of-words-model","display_name":"Bag-of-words model","score":0.5322980880737305},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5287061929702759},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4976342022418976},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.45902520418167114},{"id":"https://openalex.org/keywords/bag-of-words-model-in-computer-vision","display_name":"Bag-of-words model in computer vision","score":0.4498818516731262},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44069021940231323},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4353029429912567},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.42400062084198},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4082205593585968},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.31193429231643677},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.18848466873168945},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13344624638557434},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11954137682914734}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8361880779266357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7826433181762695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7285148501396179},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7195593118667603},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5939396023750305},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.543550968170166},{"id":"https://openalex.org/C13672336","wikidata":"https://www.wikidata.org/wiki/Q3460803","display_name":"Bag-of-words model","level":2,"score":0.5322980880737305},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5287061929702759},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4976342022418976},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.45902520418167114},{"id":"https://openalex.org/C167611913","wikidata":"https://www.wikidata.org/wiki/Q6884747","display_name":"Bag-of-words model in computer vision","level":5,"score":0.4498818516731262},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44069021940231323},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4353029429912567},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.42400062084198},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4082205593585968},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.31193429231643677},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.18848466873168945},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13344624638557434},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11954137682914734},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2014.6854259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/121610","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/121610","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1513753641","https://openalex.org/W1863225007","https://openalex.org/W1952703253","https://openalex.org/W1969914528","https://openalex.org/W1972715665","https://openalex.org/W1984669326","https://openalex.org/W2003835521","https://openalex.org/W2005876975","https://openalex.org/W2010399676","https://openalex.org/W2020163092","https://openalex.org/W2022389782","https://openalex.org/W2063978378","https://openalex.org/W2097018403","https://openalex.org/W2102805523","https://openalex.org/W2109761267","https://openalex.org/W2136917337","https://openalex.org/W2138232383","https://openalex.org/W2142194269","https://openalex.org/W2151103935","https://openalex.org/W2153464267","https://openalex.org/W2153635508","https://openalex.org/W2162931300","https://openalex.org/W2533739470","https://openalex.org/W3104298728","https://openalex.org/W6639167691","https://openalex.org/W6655898009","https://openalex.org/W6674642818","https://openalex.org/W6683965311"],"related_works":["https://openalex.org/W1615295117","https://openalex.org/W2158102958","https://openalex.org/W2277784908","https://openalex.org/W2938717424","https://openalex.org/W2045213079","https://openalex.org/W2035094092","https://openalex.org/W2350926174","https://openalex.org/W2473933584","https://openalex.org/W2587721114","https://openalex.org/W2412408867"],"abstract_inverted_index":{"To":[0,63,83],"detect":[1],"violence":[2],"in":[3],"a":[4,6,80],"video,":[5],"common":[7],"video":[8,108],"description":[9,16,24,78],"method":[10],"is":[11,25,92],"to":[12,53,74,103,116],"apply":[13],"local":[14],"spatio-temporal":[15,39],"on":[17,33,97,128],"the":[18,22,29,65,76,85,98,105,119],"query":[19,81],"video.":[20,82],"Then,":[21],"low-level":[23,77],"further":[26,117],"summarized":[27],"onto":[28],"high-level":[30],"feature":[31,51,86,95],"based":[32,127],"Bag-of-Words":[34],"(BoW)":[35],"model.":[36],"However,":[37],"traditional":[38],"descriptors":[40],"are":[41,125],"not":[42],"discriminative":[43,107],"enough.":[44],"Moreover,":[45],"BoW":[46],"model":[47],"roughly":[48],"assigns":[49],"each":[50],"vector":[52],"only":[54],"one":[55],"visual":[56],"word,":[57],"therefore":[58],"inevitably":[59],"causing":[60],"quantization":[61],"error.":[62],"tackle":[64],"constrains,":[66],"this":[67,110],"paper":[68,111],"employs":[69],"Motion":[70],"SIFT":[71],"(MoSIFT)":[72],"algorithm":[73],"extract":[75],"of":[79],"eliminate":[84],"noise,":[87],"Kernel":[88],"Density":[89],"Estimation":[90],"(KDE)":[91],"exploited":[93],"for":[94],"selection":[96],"MoSIFT":[99],"descriptor.":[100],"In":[101],"order":[102],"obtain":[104],"highly":[106],"feature,":[109],"adopts":[112],"sparse":[113],"coding":[114],"scheme":[115],"process":[118],"selected":[120],"MoSIFTs.":[121],"Encouraging":[122],"experimental":[123],"results":[124],"obtained":[126],"two":[129],"challenging":[130],"datasets":[131],"which":[132],"record":[133],"both":[134],"crowded":[135],"scenes":[136],"and":[137],"non-crowded":[138],"scenes.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
