{"id":"https://openalex.org/W2123751508","doi":"https://doi.org/10.1109/tpami.2014.2385695","title":"A Unified Framework for Event Summarization and Rare Event Detection from Multiple Views","display_name":"A Unified Framework for Event Summarization and Rare Event Detection from Multiple Views","publication_year":2014,"publication_date":"2014-12-23","ids":{"openalex":"https://openalex.org/W2123751508","doi":"https://doi.org/10.1109/tpami.2014.2385695","mag":"2123751508","pmid":"https://pubmed.ncbi.nlm.nih.gov/26353123"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2014.2385695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2014.2385695","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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/A5045083125","display_name":"Junseok Kwon","orcid":"https://orcid.org/0000-0001-9526-7549"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Junseok Kwon","raw_affiliation_strings":["Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland","Department of Information Technology and Electrical Engineering, ETH Zurich, Z\u00fcrich, Switzerland#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Department of Information Technology and Electrical Engineering, ETH Zurich, Z\u00fcrich, Switzerland#TAB#","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046504049","display_name":"Kyoung Mu Lee","orcid":"https://orcid.org/0000-0001-7210-1036"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyoung Mu Lee","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Automation and Systems Research Institute, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Automation and Systems Research Institute, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045083125"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":1.4633,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.86138094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"37","issue":"9","first_page":"1737","last_page":"1750"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9968000054359436,"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":0.9950000047683716,"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":0.9332635402679443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7542890906333923},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6116014719009399},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5493759512901306},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5132350921630859},{"id":"https://openalex.org/keywords/rare-events","display_name":"Rare events","score":0.48702865839004517},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45491835474967957},{"id":"https://openalex.org/keywords/submodular-set-function","display_name":"Submodular set function","score":0.4209859073162079},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3766598701477051},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33096349239349365},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28715604543685913},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14782971143722534}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9332635402679443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7542890906333923},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6116014719009399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5493759512901306},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5132350921630859},{"id":"https://openalex.org/C2777317252","wikidata":"https://www.wikidata.org/wiki/Q18393516","display_name":"Rare events","level":2,"score":0.48702865839004517},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45491835474967957},{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.4209859073162079},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3766598701477051},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33096349239349365},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28715604543685913},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14782971143722534},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2014.2385695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2014.2385695","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:26353123","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26353123","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8600000143051147,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2471455327","display_name":null,"funder_award_id":"2009-0083495","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"}],"funders":[{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1537098388","https://openalex.org/W1556583247","https://openalex.org/W1587878450","https://openalex.org/W1758470730","https://openalex.org/W1967503362","https://openalex.org/W1979356656","https://openalex.org/W1981413905","https://openalex.org/W1992208818","https://openalex.org/W2012931101","https://openalex.org/W2015461918","https://openalex.org/W2021057537","https://openalex.org/W2021659075","https://openalex.org/W2022547953","https://openalex.org/W2026418062","https://openalex.org/W2041390734","https://openalex.org/W2056760934","https://openalex.org/W2061344791","https://openalex.org/W2067467244","https://openalex.org/W2075698530","https://openalex.org/W2083545271","https://openalex.org/W2095063460","https://openalex.org/W2103626206","https://openalex.org/W2105604990","https://openalex.org/W2106229755","https://openalex.org/W2112680570","https://openalex.org/W2114216982","https://openalex.org/W2118877769","https://openalex.org/W2122075562","https://openalex.org/W2122361470","https://openalex.org/W2124658620","https://openalex.org/W2125105611","https://openalex.org/W2126359798","https://openalex.org/W2126802797","https://openalex.org/W2128700566","https://openalex.org/W2137275576","https://openalex.org/W2138092272","https://openalex.org/W2139117248","https://openalex.org/W2139615075","https://openalex.org/W2142726150","https://openalex.org/W2142996775","https://openalex.org/W2149167202","https://openalex.org/W2151065677","https://openalex.org/W2152322845","https://openalex.org/W2152571752","https://openalex.org/W2157955324","https://openalex.org/W2163612318","https://openalex.org/W2164261375","https://openalex.org/W2293674831","https://openalex.org/W2539222059","https://openalex.org/W4247044646","https://openalex.org/W4247760752","https://openalex.org/W6633342350","https://openalex.org/W6635241246","https://openalex.org/W6644958981","https://openalex.org/W6667513947","https://openalex.org/W6675954300","https://openalex.org/W6677265961","https://openalex.org/W6677548441","https://openalex.org/W6679194931","https://openalex.org/W6680470121","https://openalex.org/W6680975834","https://openalex.org/W6682286002","https://openalex.org/W6696866386"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W3148229873","https://openalex.org/W4242223894","https://openalex.org/W2091301346","https://openalex.org/W2150160875","https://openalex.org/W1517524280","https://openalex.org/W2963844234","https://openalex.org/W2803250016","https://openalex.org/W2969346978"],"abstract_inverted_index":{"A":[0],"novel":[1],"approach":[2,248,264],"for":[3,208],"event":[4,8,18,22,57,96,166,170,179,183,209,213,234],"summarization":[5,19,97,167,180,210,235],"and":[6,20,64,98,147,168,181,201,226],"rare":[7,21,99,169,182,212,237,269],"detection":[9,23,184],"is":[10,46,119,175,265],"proposed.":[11],"Unlike":[12],"conventional":[13],"methods":[14],"that":[15,94,108,142,157,232,245,262],"deal":[16],"with":[17,127],"independently,":[24],"our":[25,42,90],"method":[26,91,174,198,217],"solves":[27],"them":[28,35],"in":[29,101,253,267],"a":[30,37,44,49,123,153,228,254],"single":[31,229],"framework":[32],"by":[33,48,59,104],"transforming":[34],"into":[36],"graph":[38,88,118,204,231],"editing":[39,105],"problem.":[40],"In":[41],"approach,":[43],"video":[45,62,103],"represented":[47],"graph,":[50,107],"each":[51,163,203,224],"node":[52],"of":[53,79,139,149,165,205,271],"which":[54],"indicates":[55],"an":[56],"obtained":[58],"segmenting":[60],"the":[61,71,77,87,102,106,128,144,196,216,219,246,259,263],"spatially":[63],"temporally.":[65],"The":[66,117,135,172],"edges":[67,81],"between":[68,73],"nodes":[69],"describe":[70],"relationship":[72],"events.":[74,150,272],"Based":[75],"on":[76],"degree":[78],"relations,":[80],"have":[82],"different":[83],"weights.":[84],"After":[85],"learning":[86],"structure,":[89],"finds":[92],"subgraphs":[93,112],"represent":[95,143],"events":[100,238],"is,":[109],"merging":[110],"its":[111,115],"or":[113,211,236],"pruning":[114],"edges.":[116],"edited":[120],"to":[121,161,177,223],"minimize":[122],"predefined":[124],"energy":[125,136,155],"model":[126,137,156],"Markov":[129],"Chain":[130],"Monte":[131],"Carlo":[132],"(MCMC)":[133],"method.":[134],"consists":[138],"several":[140],"parameters":[141,160],"causality,":[145],"frequency,":[146],"significance":[148],"We":[151],"design":[152],"specific":[154],"uses":[158],"these":[159],"satisfy":[162],"objective":[164],"detection.":[171,214],"proposed":[173,197,247],"extended":[176],"obtain":[178],"results":[185,243],"across":[186],"multiple":[187,191,221,240,251],"videos":[188,207,252],"captured":[189],"from":[190,239],"views.":[192,241],"For":[193],"this":[194],"purpose,":[195],"independently":[199],"learns":[200],"edits":[202],"individual":[206],"Then,":[215],"matches":[218],"extracted":[220],"graphs":[222],"other,":[225],"constructs":[227],"composite":[230],"represents":[233],"Experimental":[242],"show":[244],"accurately":[249],"summarizes":[250],"fully":[255],"unsupervised":[256],"manner.":[257],"Moreover,":[258],"experiments":[260],"demonstrate":[261],"advantageous":[266],"detecting":[268],"transition":[270]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}