{"id":"https://openalex.org/W2755922031","doi":"https://doi.org/10.1109/icip.2017.8296546","title":"Exploiting probabilistic relationships between action concepts for complex event classification","display_name":"Exploiting probabilistic relationships between action concepts for complex event classification","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2755922031","doi":"https://doi.org/10.1109/icip.2017.8296546","mag":"2755922031"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/scopus2015/8950","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091496743","display_name":"Somayeh Keshavarz","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Somayeh Keshavarz","raw_affiliation_strings":["College of Engineering and Computer Science, University of Central Florida"],"affiliations":[{"raw_affiliation_string":"College of Engineering and Computer Science, University of Central Florida","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029589258","display_name":"Imran Saleemi","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Imran Saleemi","raw_affiliation_strings":["College of Engineering and Computer Science, University of Central Florida"],"affiliations":[{"raw_affiliation_string":"College of Engineering and Computer Science, University of Central Florida","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003612688","display_name":"George Atia","orcid":"https://orcid.org/0000-0001-7958-9855"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Atia","raw_affiliation_strings":["College of Engineering and Computer Science, University of Central Florida"],"affiliations":[{"raw_affiliation_string":"College of Engineering and Computer Science, University of Central Florida","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091496743"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.12924976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"1572","last_page":"1576"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9976999759674072,"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":0.9969000220298767,"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/event","display_name":"Event (particle physics)","score":0.7738996148109436},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7495336532592773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7467178702354431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6271951198577881},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5661565065383911},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5533348917961121},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5310680866241455},{"id":"https://openalex.org/keywords/conditional-probability","display_name":"Conditional probability","score":0.5189608931541443},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45340201258659363},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4397384226322174},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4080830216407776},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17011746764183044},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11948058009147644}],"concepts":[{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7738996148109436},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7495336532592773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7467178702354431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6271951198577881},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5661565065383911},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5533348917961121},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5310680866241455},{"id":"https://openalex.org/C44492722","wikidata":"https://www.wikidata.org/wiki/Q327069","display_name":"Conditional probability","level":2,"score":0.5189608931541443},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45340201258659363},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4397384226322174},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4080830216407776},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17011746764183044},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11948058009147644},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2017.8296546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:stars.library.ucf.edu:scopus2015-9949","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2015/8950","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2015-2019","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:scopus2015-9949","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2015/8950","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2015-2019","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1789238264","https://openalex.org/W2020163092","https://openalex.org/W2067646051","https://openalex.org/W2111574971","https://openalex.org/W2119246739","https://openalex.org/W2126574503","https://openalex.org/W2140508645","https://openalex.org/W2141939040","https://openalex.org/W2142521298","https://openalex.org/W2144426297","https://openalex.org/W2160988325","https://openalex.org/W2169992457","https://openalex.org/W2182437395","https://openalex.org/W2506440769","https://openalex.org/W2577756916","https://openalex.org/W2916245046","https://openalex.org/W2952840624","https://openalex.org/W2999812538","https://openalex.org/W6758244838"],"related_works":["https://openalex.org/W2943623134","https://openalex.org/W2494523064","https://openalex.org/W2588219639","https://openalex.org/W2215759665","https://openalex.org/W2575822034","https://openalex.org/W2365248444","https://openalex.org/W2064864137","https://openalex.org/W2024590317","https://openalex.org/W4285709146","https://openalex.org/W4382602469"],"abstract_inverted_index":{"Videos":[0],"of":[1,11,27,64,106,108,119],"complex":[2],"events":[3,44],"are":[4,20],"difficult":[5],"to":[6,52,57,115,137],"represent":[7],"solely":[8],"as":[9,23,87,101,103],"bags":[10],"low":[12],"level":[13],"features.":[14],"Increasingly,":[15],"supervised":[16],"concepts":[17,42,110],"or":[18],"attributes":[19],"being":[21],"employed":[22],"the":[24,37,41,54,98,104,117,141],"intermediate":[25],"representation":[26],"such":[28],"videos.":[29],"We":[30],"propose":[31],"a":[32,88,112],"probabilistic":[33],"framework":[34],"that":[35,130],"models":[36],"conditional":[38],"relationships":[39],"between":[40,74,81],"and":[43,45,71,76],"devise":[46],"an":[47],"approximate":[48],"yet":[49],"tractable":[50],"solution":[51],"infer":[53,116],"posterior":[55],"distribution":[56],"perform":[58],"event":[59,75,121,134],"classification.":[60],"Using":[61],"noisy":[62],"outputs":[63],"pre-trained":[65],"concept":[66,77,82],"detectors,":[67],"we":[68],"learn":[69],"semantic":[70],"visual":[72],"dependencies":[73],"pairs.":[78],"The":[79,93,127],"co-occurrence":[80],"pairs":[83],"is":[84],"also":[85],"learned":[86,99],"marginal":[89],"over":[90],"training":[91],"samples.":[92],"proposed":[94],"method":[95,132],"then":[96],"employs":[97],"prior,":[100],"well":[102],"probabilities":[105],"occurrence":[107],"specific":[109],"in":[111],"test":[113],"video":[114],"probability":[118],"each":[120],"using":[122],"weighted":[123],"average":[124],"one-dependence":[125],"estimation.":[126],"evaluation":[128],"shows":[129],"our":[131],"improves":[133],"classification":[135],"compared":[136],"recent":[138],"literature":[139],"on":[140],"TRECVID":[142],"data":[143],"set.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}