{"id":"https://openalex.org/W2485663116","doi":"https://doi.org/10.1109/ivmspw.2016.7528218","title":"SSPARED: Saliency and sparse code analysis for rare event detection in video","display_name":"SSPARED: Saliency and sparse code analysis for rare event detection in video","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2485663116","doi":"https://doi.org/10.1109/ivmspw.2016.7528218","mag":"2485663116"},"language":"en","primary_location":{"id":"doi:10.1109/ivmspw.2016.7528218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivmspw.2016.7528218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)","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/A5091029927","display_name":"Rituparna Sarkar","orcid":"https://orcid.org/0000-0001-7828-1816"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rituparna Sarkar","raw_affiliation_strings":["C.L. Brown Department of Electrical & Computer Engneering, University of Virginia Charlottesville, Virginia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"C.L. Brown Department of Electrical & Computer Engneering, University of Virginia Charlottesville, Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039185908","display_name":"Andrea Vaccari","orcid":"https://orcid.org/0000-0002-3356-326X"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrea Vaccari","raw_affiliation_strings":["C.L. Brown Department of Electrical & Computer Engneering, University of Virginia Charlottesville, Virginia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"C.L. Brown Department of Electrical & Computer Engneering, University of Virginia Charlottesville, Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034452294","display_name":"Scott T. Acton","orcid":"https://orcid.org/0000-0003-3288-1255"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott T. Acton","raw_affiliation_strings":["C.L. Brown Department of Electrical & Computer Engneering, University of Virginia Charlottesville, Virginia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"C.L. Brown Department of Electrical & Computer Engneering, University of Virginia Charlottesville, Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3249,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.87163408,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9919000267982483,"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":0.7683161497116089},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7389997243881226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7310795783996582},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5901549458503723},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5462531447410583},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5438935160636902},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5392628312110901},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.503410279750824},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4988980293273926},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.48588722944259644},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4752770960330963},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.46405234932899475},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.4635199010372162},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4523490369319916},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.4261007308959961},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26314759254455566}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7683161497116089},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7389997243881226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7310795783996582},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5901549458503723},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5462531447410583},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5438935160636902},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5392628312110901},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.503410279750824},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4988980293273926},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.48588722944259644},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4752770960330963},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.46405234932899475},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.4635199010372162},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4523490369319916},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.4261007308959961},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26314759254455566},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/ivmspw.2016.7528218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivmspw.2016.7528218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W105494308","https://openalex.org/W1965555277","https://openalex.org/W1967456674","https://openalex.org/W1982075130","https://openalex.org/W1985444590","https://openalex.org/W1988982189","https://openalex.org/W2002406878","https://openalex.org/W2025946330","https://openalex.org/W2026418062","https://openalex.org/W2034518400","https://openalex.org/W2035749286","https://openalex.org/W2041719651","https://openalex.org/W2118246710","https://openalex.org/W2122075562","https://openalex.org/W2124658620","https://openalex.org/W2125063377","https://openalex.org/W2127271355","https://openalex.org/W2128859735","https://openalex.org/W2142412278","https://openalex.org/W2153663612","https://openalex.org/W2158917775","https://openalex.org/W2160302285"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W3181296946","https://openalex.org/W2376528221","https://openalex.org/W2359428812","https://openalex.org/W4367857133","https://openalex.org/W1483630349","https://openalex.org/W2148298232","https://openalex.org/W2901437370"],"abstract_inverted_index":{"The":[0,58],"problem":[1],"of":[2,15,43,73,96],"detecting":[3,108],"rare":[4],"and":[5,103,111],"unusual":[6],"events":[7,20],"in":[8,34,70,107],"video":[9,17],"is":[10,91],"critical":[11],"to":[12,39,80],"the":[13,35,41,67,71,82,97],"analysis":[14],"large":[16],"datasets.":[18],"Such":[19],"are":[21,62],"identified":[22],"as":[23],"those":[24],"occurrences":[25],"within":[26],"a":[27,31,44,53,74],"sequence":[28],"that":[29,77],"cause":[30],"significant":[32,105],"change":[33],"scene.":[36],"We":[37],"propose":[38],"determine":[40],"significance":[42],"frame,":[45],"while":[46],"preserving":[47],"its":[48],"compact":[49],"representation,":[50],"by":[51],"introducing":[52],"saliency-driven":[54],"dictionary":[55],"learning":[56],"technique.":[57],"derived":[59],"sparse":[60],"codes":[61],"then":[63],"leveraged,":[64],"together":[65],"with":[66,93],"Kullback-Leibler":[68],"divergence,":[69],"design":[72],"histogram-based":[75],"metric":[76],"we":[78],"use":[79],"evaluate":[81],"scene":[83],"changes":[84],"between":[85],"consecutive":[86],"frames.":[87],"Our":[88],"method,":[89],"SSPARED,":[90],"compared":[92],"two":[94],"state":[95],"art":[98],"methods":[99],"for":[100],"anomaly":[101],"detection":[102],"shows":[104],"improvement":[106],"abnormal":[109],"incidents":[110],"reduced":[112],"false":[113],"alarm":[114],"generation.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
