{"id":"https://openalex.org/W1963955738","doi":"https://doi.org/10.1109/wacv.2013.6475011","title":"Scene image categorization and video event detection using Naive Bayes Nearest Neighbor","display_name":"Scene image categorization and video event detection using Naive Bayes Nearest Neighbor","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W1963955738","doi":"https://doi.org/10.1109/wacv.2013.6475011","mag":"1963955738"},"language":"en","primary_location":{"id":"doi:10.1109/wacv.2013.6475011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2013.6475011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Workshop on Applications of Computer Vision (WACV)","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/A5069416097","display_name":"Shiv Vitaladevuni","orcid":"https://orcid.org/0000-0003-2709-5145"},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shiv N. Vitaladevuni","raw_affiliation_strings":["Raytheon BBN Technologies, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Raytheon BBN Technologies, Cambridge, MA, USA","institution_ids":["https://openalex.org/I1306686416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102227196","display_name":"Pradeep Natarajan","orcid":null},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pradeep Natarajan","raw_affiliation_strings":["Raytheon BBN Technologies, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Raytheon BBN Technologies, Cambridge, MA, USA","institution_ids":["https://openalex.org/I1306686416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102008932","display_name":"Shuang Wu","orcid":"https://orcid.org/0000-0001-9245-6037"},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuang Wu","raw_affiliation_strings":["Raytheon BBN Technologies, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Raytheon BBN Technologies, Cambridge, MA, USA","institution_ids":["https://openalex.org/I1306686416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110376025","display_name":"Xiaodan Zhuang","orcid":null},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaodan Zhuang","raw_affiliation_strings":["Raytheon BBN Technologies, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Raytheon BBN Technologies, Cambridge, MA, USA","institution_ids":["https://openalex.org/I1306686416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107484450","display_name":"Rohit Prasad","orcid":null},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rohit Prasad","raw_affiliation_strings":["Raytheon BBN Technologies, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Raytheon BBN Technologies, Cambridge, MA, USA","institution_ids":["https://openalex.org/I1306686416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066184920","display_name":"Prem Natarajan","orcid":"https://orcid.org/0000-0002-4386-6651"},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Premkumar Natarajan","raw_affiliation_strings":["Raytheon BBN Technologies, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Raytheon BBN Technologies, Cambridge, MA, USA","institution_ids":["https://openalex.org/I1306686416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5069416097"],"corresponding_institution_ids":["https://openalex.org/I1306686416"],"apc_list":null,"apc_paid":null,"fwci":1.03972857,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.80015651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"140","last_page":"147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9994000196456909,"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":0.9994000196456909,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9979000091552734,"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":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7952866554260254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7650705575942993},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6977211236953735},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.6732521057128906},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6366205215454102},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6051509380340576},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5761551856994629},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5432215929031372},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48616740107536316},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.48474618792533875},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4589065611362457},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4233500063419342},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.41425657272338867},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4141950011253357},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1977129578590393},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.14456430077552795}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7952866554260254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7650705575942993},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6977211236953735},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.6732521057128906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6366205215454102},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6051509380340576},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5761551856994629},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5432215929031372},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48616740107536316},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.48474618792533875},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4589065611362457},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4233500063419342},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.41425657272338867},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4141950011253357},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1977129578590393},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.14456430077552795},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv.2013.6475011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2013.6475011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Workshop on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306116","display_name":"U.S. Department of the Interior","ror":"https://ror.org/03v0pmy70"},{"id":"https://openalex.org/F4320333452","display_name":"Interior Business Center","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1967616013","https://openalex.org/W1976921161","https://openalex.org/W1994694952","https://openalex.org/W2003115311","https://openalex.org/W2035652042","https://openalex.org/W2038219201","https://openalex.org/W2076771430","https://openalex.org/W2090042335","https://openalex.org/W2099253838","https://openalex.org/W2099528205","https://openalex.org/W2113855951","https://openalex.org/W2121122425","https://openalex.org/W2131846894","https://openalex.org/W2147625498","https://openalex.org/W2148293470","https://openalex.org/W2151103935","https://openalex.org/W2152161678","https://openalex.org/W2160326621","https://openalex.org/W2166742463","https://openalex.org/W2167986384","https://openalex.org/W2168584046","https://openalex.org/W2169177311","https://openalex.org/W2274583232","https://openalex.org/W2427881153","https://openalex.org/W2532478580","https://openalex.org/W3160851792","https://openalex.org/W4256379134","https://openalex.org/W4376522650","https://openalex.org/W6694369573","https://openalex.org/W6728881802","https://openalex.org/W6795644987"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W1966831329","https://openalex.org/W1995688991","https://openalex.org/W2020188645","https://openalex.org/W2417174640","https://openalex.org/W2042770250"],"abstract_inverted_index":{"We":[0,43,96],"present":[1,97],"a":[2,117],"detailed":[3],"study":[4,26],"of":[5,80,108,135],"Naive":[6],"Bayes":[7],"Nearest":[8],"Neighbor":[9],"(NBNN)":[10],"proposed":[11],"by":[12],"Boiman":[13],"et":[14],"al.,":[15],"with":[16,32,88,116],"application":[17],"to":[18,39,101,114],"scene":[19,50],"categorization":[20,52],"and":[21,63,73],"video":[22,86],"event":[23],"detection.":[24],"Our":[25],"indicates":[27],"that":[28,104,111,128],"using":[29,35],"Dense-SIFT":[30],"along":[31],"dimensionality":[33],"reduction":[34],"PCA":[36],"enables":[37],"NBNN":[38,132],"obtain":[40],"state-of-the-art":[41],"results.":[42],"demonstrate":[44],"this":[45,129],"on":[46,53,82],"two":[47],"tasks:":[48],"(1)":[49],"image":[51,120],"the":[54,64,83,106,122],"UIUC":[55],"8":[56],"Sports":[57],"Events":[58],"Image":[59,69],"Dataset":[60,70],"(obtaining":[61,71],"84.67%)":[62],"MIT":[65],"67":[66],"Indoor":[67],"Scene":[68],"48.84%);":[72],"(2)":[74],"detecting":[75],"videos":[76,93],"depicting":[77],"certain":[78],"events":[79],"interest":[81],"challenging":[84],"MED'11":[85],"dataset":[87],"only":[89],"15":[90],"positive":[91],"training":[92,109,137],"per":[94],"event.":[95],"an":[98],"extension":[99],"referred":[100],"as":[102],"sparse-NBNN":[103],"constrains":[105],"number":[107],"images":[110],"can":[112],"used":[113],"match":[115],"given":[118],"test":[119],"for":[121,133],"image-to-class":[123],"distance":[124],"computation.":[125],"Experiments":[126],"indicate":[127],"improves":[130],"upon":[131],"handling":[134],"imbalanced":[136],"data.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}