{"id":"https://openalex.org/W4293519400","doi":"https://doi.org/10.1109/icme52920.2022.9859948","title":"Causal Video Summarizer for Video Exploration","display_name":"Causal Video Summarizer for Video Exploration","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4293519400","doi":"https://doi.org/10.1109/icme52920.2022.9859948"},"language":"en","primary_location":{"id":"doi:10.1109/icme52920.2022.9859948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859948","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5091066062","display_name":"Jia-Hong Huang","orcid":"https://orcid.org/0000-0001-7943-2591"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jia-Hong Huang","raw_affiliation_strings":["University of Amsterdam,Netherlands","University of Amsterdam, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Amsterdam,Netherlands","institution_ids":["https://openalex.org/I887064364"]},{"raw_affiliation_string":"University of Amsterdam, Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020376803","display_name":"Chao-Han Huck Yang","orcid":"https://orcid.org/0000-0003-2879-8811"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chao-Han Huck Yang","raw_affiliation_strings":["Georgia Institute of Technology,USA","Georgia Institute of Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050344371","display_name":"Pin\u2010Yu Chen","orcid":"https://orcid.org/0000-0003-1039-8369"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pin-Yu Chen","raw_affiliation_strings":["IBM Research,USA","IBM Research, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research,USA","institution_ids":[]},{"raw_affiliation_string":"IBM Research, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039721396","display_name":"Andrew Brown","orcid":"https://orcid.org/0000-0002-9556-2633"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Andrew Brown","raw_affiliation_strings":["University of Amsterdam,Netherlands","University of Amsterdam, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Amsterdam,Netherlands","institution_ids":["https://openalex.org/I887064364"]},{"raw_affiliation_string":"University of Amsterdam, Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070684680","display_name":"Marcel Worring","orcid":"https://orcid.org/0000-0003-4097-4136"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Marcel Worring","raw_affiliation_strings":["University of Amsterdam,Netherlands","University of Amsterdam, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Amsterdam,Netherlands","institution_ids":["https://openalex.org/I887064364"]},{"raw_affiliation_string":"University of Amsterdam, Netherlands","institution_ids":["https://openalex.org/I887064364"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":1.0,"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":1.0,"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/T11309","display_name":"Music and Audio Processing","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9837999939918518,"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":0.9802603721618652},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8690146207809448},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5096888542175293},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5085800886154175},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4903121292591095},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.48743394017219543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48112502694129944},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46918368339538574},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34268540143966675},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33893582224845886},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.27848416566848755}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9802603721618652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8690146207809448},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5096888542175293},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5085800886154175},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4903121292591095},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.48743394017219543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48112502694129944},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46918368339538574},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34268540143966675},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33893582224845886},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.27848416566848755},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme52920.2022.9859948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859948","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/7f1a7d71-5322-4be3-97c6-8d932897b459","is_oa":false,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/causal-video-summarizer-for-video-exploration(7f1a7d71-5322-4be3-97c6-8d932897b459).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Huang, J-H, Yang, C-H H, Chen, P-Y, Brown, A & Worring, M 2022, Causal video summarizer for video exploration. in ICME 2022 : conference proceedings : IEEE International Conference on Multimedia and Expo 2022. Piscataway, NJ, pp. 349-354, 2022 IEEE International Conference on Multimedia and Expo, Taipei, Taiwan, Province of China, 18/07/22. https://doi.org/10.1109/ICME52920.2022.9859948","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W79139011","https://openalex.org/W1522301498","https://openalex.org/W1904325426","https://openalex.org/W1924343884","https://openalex.org/W1959608418","https://openalex.org/W1975125705","https://openalex.org/W1987366351","https://openalex.org/W2108598243","https://openalex.org/W2121756366","https://openalex.org/W2135769791","https://openalex.org/W2139009685","https://openalex.org/W2143783429","https://openalex.org/W2156044652","https://openalex.org/W2164762854","https://openalex.org/W2194775991","https://openalex.org/W2605193007","https://openalex.org/W2610416447","https://openalex.org/W2613031639","https://openalex.org/W2751178015","https://openalex.org/W2754251838","https://openalex.org/W2788303226","https://openalex.org/W2808546746","https://openalex.org/W2883047779","https://openalex.org/W2886204373","https://openalex.org/W2927633990","https://openalex.org/W2955058313","https://openalex.org/W2962677647","https://openalex.org/W2962685611","https://openalex.org/W2962695761","https://openalex.org/W2963220254","https://openalex.org/W2964018078","https://openalex.org/W2964045651","https://openalex.org/W2964167369","https://openalex.org/W2980092132","https://openalex.org/W2980884691","https://openalex.org/W3009353929","https://openalex.org/W3033386097","https://openalex.org/W3035145964","https://openalex.org/W3102714038","https://openalex.org/W3119639728","https://openalex.org/W3194346615","https://openalex.org/W3196479518","https://openalex.org/W3198455660","https://openalex.org/W3207377511","https://openalex.org/W3210314917","https://openalex.org/W4213210229","https://openalex.org/W4283790357","https://openalex.org/W4295097398","https://openalex.org/W4385245566","https://openalex.org/W6640109428","https://openalex.org/W6684405944","https://openalex.org/W6729580568","https://openalex.org/W6736241730","https://openalex.org/W6739095351","https://openalex.org/W6739901393","https://openalex.org/W6744334220","https://openalex.org/W6784163774"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W1517524280","https://openalex.org/W4389760904","https://openalex.org/W4306886878","https://openalex.org/W4323520239"],"abstract_inverted_index":{"Recently,":[0],"video":[1,11,15,22,37,40,53,57,72,81,105,114,136],"summarization":[2,16,41,54,137],"has":[3,55],"been":[4],"proposed":[5,96,117,144],"as":[6],"a":[7,20,56,60,71,86,121,125],"method":[8,89,118],"to":[9,48,79,97,108],"help":[10],"exploration.":[12,38],"However,":[13],"traditional":[14],"models":[17],"only":[18],"generate":[19],"fixed":[21],"summary":[23],"which":[24],"is":[25,42,77,95,146],"usually":[26],"independent":[27],"of":[28,36,44,67,112,120,132,151,158],"user-specific":[29],"needs":[30],"and":[31,59,74,106,124,155],"hence":[32],"limits":[33],"the":[34,45,68,100,104,110,130,133,143,149,162],"effectiveness":[35],"Multi-modal":[39,52],"one":[43],"approaches":[46],"utilized":[47],"address":[49],"this":[50,84],"issue.":[51],"input":[58,73],"text-based":[61,75],"query":[62,76,107],"input.":[63],"Hence,":[64],"effective":[65,147],"modeling":[66],"interaction":[69],"between":[70,103],"essential":[78],"multi-modal":[80,113,135],"summarization.":[82,115],"In":[83],"work,":[85],"new":[87],"causality-based":[88],"named":[90],"Causal":[91],"Video":[92],"Summarizer":[93],"(CVS)":[94],"effectively":[98],"capture":[99],"interactive":[101],"information":[102],"tackle":[109],"task":[111],"The":[116],"consists":[119],"probabilistic":[122,126],"encoder":[123],"decoder.":[127],"Based":[128],"on":[129],"evaluation":[131],"existing":[134],"dataset,":[138],"experimental":[139],"results":[140],"show":[141],"that":[142],"approach":[145],"with":[148,161],"increase":[150,157],"+5.4%":[152],"in":[153],"accuracy":[154],"+4.92%":[156],"F1-score,":[159],"compared":[160],"state-of-the-art":[163],"method.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}