{"id":"https://openalex.org/W2424310388","doi":"https://doi.org/10.1109/ncvpripg.2015.7490032","title":"Gaussian Mixture Model for summarization of surveillance videos","display_name":"Gaussian Mixture Model for summarization of surveillance videos","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2424310388","doi":"https://doi.org/10.1109/ncvpripg.2015.7490032","mag":"2424310388"},"language":"en","primary_location":{"id":"doi:10.1109/ncvpripg.2015.7490032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncvpripg.2015.7490032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","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/A5048819857","display_name":"Sujatha Canavoy Narahari","orcid":null},"institutions":[{"id":"https://openalex.org/I3132975163","display_name":"KLE Technological University","ror":"https://ror.org/04yh52k23","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132975163"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sujatha C","raw_affiliation_strings":["Department of CSE, B.V.B College of Engg and Tech, Hubli"],"affiliations":[{"raw_affiliation_string":"Department of CSE, B.V.B College of Engg and Tech, Hubli","institution_ids":["https://openalex.org/I3132975163"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031053524","display_name":"Uma Mudenagudi","orcid":"https://orcid.org/0000-0003-1111-7522"},"institutions":[{"id":"https://openalex.org/I3132975163","display_name":"KLE Technological University","ror":"https://ror.org/04yh52k23","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132975163"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Uma Mudenagudi","raw_affiliation_strings":["Deparment of ECE, B.V.B College of Engg and Tech, Hubli"],"affiliations":[{"raw_affiliation_string":"Deparment of ECE, B.V.B College of Engg and Tech, Hubli","institution_ids":["https://openalex.org/I3132975163"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048819857"],"corresponding_institution_ids":["https://openalex.org/I3132975163"],"apc_list":null,"apc_paid":null,"fwci":0.20873662,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.64637362,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"39","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9998000264167786,"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9952999949455261,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9926999807357788,"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/automatic-summarization","display_name":"Automatic summarization","score":0.9206631779670715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7918649315834045},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.7800586819648743},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.7012439966201782},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6889738440513611},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6699228286743164},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6601976156234741},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.49588117003440857},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.45876544713974},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4368329644203186},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.42257726192474365}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9206631779670715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7918649315834045},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7800586819648743},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.7012439966201782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6889738440513611},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6699228286743164},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6601976156234741},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.49588117003440857},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.45876544713974},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4368329644203186},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.42257726192474365},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"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:10.1109/ncvpripg.2015.7490032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncvpripg.2015.7490032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1494794420","https://openalex.org/W1973191710","https://openalex.org/W1974861114","https://openalex.org/W2049633694","https://openalex.org/W2071928160","https://openalex.org/W2092433498","https://openalex.org/W2098470532","https://openalex.org/W2115060048","https://openalex.org/W2130103520","https://openalex.org/W2149525724","https://openalex.org/W2163527813","https://openalex.org/W2170655593","https://openalex.org/W3157685993","https://openalex.org/W4229842515","https://openalex.org/W4239875977","https://openalex.org/W6679388247","https://openalex.org/W6794416818"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W1517524280","https://openalex.org/W1578916557"],"abstract_inverted_index":{"We":[0,32,78,96],"propose":[1],"a":[2,15,28,37,80],"method":[3,100,127],"to":[4,13,45,88],"address":[5],"the":[6,20,24,34,47,54,64,90,94,98,113,124],"problem":[7],"of":[8,23,36,59,66,76,85,132],"Video":[9],"Summarization,":[10],"which":[11,51],"aims":[12],"generate":[14,79],"summarized":[16,81],"video":[17,26,70,82],"by":[18],"preserving":[19],"salient":[21,55,86],"activities":[22],"input":[25],"for":[27,93,101,112,118],"user":[29,72],"specified":[30,73],"time.":[31],"model":[33],"motion":[35,67],"feature":[38,49,60],"points":[39,61],"as":[40,110],"Gaussian":[41],"Mixture":[42],"Model":[43],"(GMM)":[44],"select":[46],"key":[48],"points,":[50],"in-turn":[52],"estimate":[53],"frames.":[56],"The":[57],"saliency":[58],"depends":[62],"on":[63],"contribution":[65],"in":[68],"entire":[69],"and":[71,106,121],"time":[74],"duration":[75],"summary.":[77],"keeping":[83],"chronology":[84],"frames":[87],"avoid":[89],"viewing":[91],"ambiguity":[92],"viewers.":[95],"demonstrate":[97,123],"proposed":[99,125],"different":[102],"stored":[103],"surveillance":[104],"videos":[105],"achieve":[107],"retention":[108],"ratio":[109,116],"1":[111],"closest":[114],"condensation":[115],"obtained":[117],"stroboscopic":[119],"approach":[120],"also":[122],"GMM":[126],"with":[128],"interactively":[129],"selected":[130],"region":[131],"interest":[133],"(ROI)":[134],"based":[135],"results.":[136]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}