{"id":"https://openalex.org/W2748219818","doi":"https://doi.org/10.1109/tip.2017.2745209","title":"Event Detection in Continuous Video: An Inference in Point Process Approach","display_name":"Event Detection in Continuous Video: An Inference in Point Process Approach","publication_year":2017,"publication_date":"2017-08-25","ids":{"openalex":"https://openalex.org/W2748219818","doi":"https://doi.org/10.1109/tip.2017.2745209","mag":"2748219818","pmid":"https://pubmed.ncbi.nlm.nih.gov/28858803"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2017.2745209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2745209","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100763094","display_name":"Zhen Qin","orcid":"https://orcid.org/0000-0001-6739-134X"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhen Qin","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California at Riverside, Riverside, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California at Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091230938","display_name":"Christian R. Shelton","orcid":"https://orcid.org/0000-0001-6698-7838"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christian R. Shelton","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California at Riverside, Riverside, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California at Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100763094"],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":1.0166,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.85411997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"26","issue":"12","first_page":"5680","last_page":"5691"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9984999895095825,"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":0.9887999892234802,"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":0.7450237274169922},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6969119906425476},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6876938939094543},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.624214768409729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6094760298728943},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.544485867023468},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.4967096447944641},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4285472631454468},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41955459117889404},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4019619822502136},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33073943853378296},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13992565870285034}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7450237274169922},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6969119906425476},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6876938939094543},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.624214768409729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6094760298728943},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.544485867023468},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.4967096447944641},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4285472631454468},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41955459117889404},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4019619822502136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33073943853378296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13992565870285034},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tip.2017.2745209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2745209","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:28858803","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28858803","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:ark:/13030/qt1z06s3x3","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:escholarship.org/ark:/13030/qt1z06s3x3","is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/1z06s3x3","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol 26, iss 12","raw_type":"article"},{"id":"pmh:qt1z06s3x3","is_oa":false,"landing_page_url":"http://www.escholarship.org/uc/item/1z06s3x3","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Qin, Z; &amp; Shelton, CR. (2017). Event Detection in Continuous Video: An Inference in Point Process Approach. IEEE Transactions on Image Processing, 26, 5680 - 5691. UC Riverside: Retrieved from: http://www.escholarship.org/uc/item/1z06s3x3","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G522974065","display_name":null,"funder_award_id":"IIS 1510741","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5691909635","display_name":null,"funder_award_id":"FA8750-12-2-0010","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W29314987","https://openalex.org/W37338454","https://openalex.org/W41895731","https://openalex.org/W136504859","https://openalex.org/W255708204","https://openalex.org/W1513714509","https://openalex.org/W1537120216","https://openalex.org/W1543675445","https://openalex.org/W1607685420","https://openalex.org/W1859270264","https://openalex.org/W1907587592","https://openalex.org/W1925417509","https://openalex.org/W1944615693","https://openalex.org/W1967986582","https://openalex.org/W1972882261","https://openalex.org/W1978511849","https://openalex.org/W1984551518","https://openalex.org/W2004149082","https://openalex.org/W2010783580","https://openalex.org/W2020163092","https://openalex.org/W2033431158","https://openalex.org/W2052923946","https://openalex.org/W2064052975","https://openalex.org/W2069849731","https://openalex.org/W2083319857","https://openalex.org/W2106996050","https://openalex.org/W2114134972","https://openalex.org/W2115891031","https://openalex.org/W2122028584","https://openalex.org/W2123613642","https://openalex.org/W2126574503","https://openalex.org/W2128730107","https://openalex.org/W2142194269","https://openalex.org/W2142258645","https://openalex.org/W2153544503","https://openalex.org/W2153635508","https://openalex.org/W2166283423","https://openalex.org/W2169255714","https://openalex.org/W2169992457","https://openalex.org/W2307035320","https://openalex.org/W2408568082","https://openalex.org/W2497173630","https://openalex.org/W2507009361","https://openalex.org/W2601271987","https://openalex.org/W2915649242","https://openalex.org/W2950468916","https://openalex.org/W2952587893","https://openalex.org/W2963004177","https://openalex.org/W2963321993","https://openalex.org/W2964298117","https://openalex.org/W3007327886","https://openalex.org/W3021192559","https://openalex.org/W6601685338","https://openalex.org/W6605536666","https://openalex.org/W6609607760","https://openalex.org/W6630810896","https://openalex.org/W6632259765","https://openalex.org/W6632570525","https://openalex.org/W6635591719","https://openalex.org/W6636581444","https://openalex.org/W6639137221","https://openalex.org/W6646438788","https://openalex.org/W6677101186","https://openalex.org/W6677285998","https://openalex.org/W6678460482","https://openalex.org/W6678646353","https://openalex.org/W6682560379","https://openalex.org/W6684598572","https://openalex.org/W6698200468","https://openalex.org/W6713524752","https://openalex.org/W6724944384"],"related_works":["https://openalex.org/W2364370872","https://openalex.org/W2053269318","https://openalex.org/W2025614924","https://openalex.org/W2294335174","https://openalex.org/W3145575561","https://openalex.org/W2097963413","https://openalex.org/W2995886640","https://openalex.org/W1591475660","https://openalex.org/W2001275470","https://openalex.org/W1974738623"],"abstract_inverted_index":{"We":[0,107,124],"propose":[1],"a":[2,47,66,71],"novel":[3],"approach":[4],"toward":[5],"event":[6,33,51,87,91,129,146],"detection":[7,92,130],"in":[8,23,85],"real-world":[9,133],"continuous":[10],"video":[11,48,60,128,134,145],"sequences.":[12,135],"The":[13,42],"method:":[14],"1)":[15],"is":[16,39,44,78],"able":[17,79],"to":[18,25,45,80],"model":[19,69,75,137],"arbitrary-order":[20],"non-Markovian":[21,83],"dependences":[22,84],"videos":[24],"mitigate":[26],"local":[27],"visual":[28],"ambiguities;":[29],"2)":[30],"conducts":[31],"simultaneous":[32],"segmentation":[34,147],"and":[35,37,58,115,148,158],"labeling;":[36],"3)":[38],"time-window":[40],"free.":[41],"idea":[43],"represent":[46],"as":[49,96],"an":[50],"stream":[52],"of":[53,99],"both":[54],"high-level":[55,100],"semantic":[56,101],"events":[57],"low-level":[59,104],"observations.":[61,106],"In":[62,89],"training,":[63],"we":[64],"learn":[65],"point":[67],"process":[68],"called":[70],"piecewise-constant":[72],"conditional":[73],"intensity":[74],"(PCIM)":[76],"that":[77],"capture":[81],"complex":[82],"the":[86,97,109,121,127,144],"streams.":[88],"testing,":[90],"can":[93],"be":[94],"modeled":[95],"inference":[98,111],"events,":[102],"given":[103],"image":[105],"develop":[108],"first":[110],"algorithm":[112],"for":[113],"PCIM":[114],"show":[116],"it":[117],"samples":[118],"exactly":[119],"from":[120],"posterior":[122],"distribution.":[123],"then":[125],"evaluate":[126],"task":[131],"on":[132,143],"Our":[136],"not":[138],"only":[139],"provides":[140,153],"competitive":[141],"results":[142],"labeling":[149],"task,":[150],"but":[151],"also":[152],"benefits,":[154],"including":[155],"being":[156],"interpretable":[157],"efficient.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
