{"id":"https://openalex.org/W2963613897","doi":"https://doi.org/10.1109/wacvw.2019.00011","title":"Joint Event Detection and Description in Continuous Video Streams","display_name":"Joint Event Detection and Description in Continuous Video Streams","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2963613897","doi":"https://doi.org/10.1109/wacvw.2019.00011","mag":"2963613897"},"language":"en","primary_location":{"id":"doi:10.1109/wacvw.2019.00011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacvw.2019.00011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Winter Applications of Computer Vision Workshops (WACVW)","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/A5101404512","display_name":"Huijuan Xu","orcid":"https://orcid.org/0000-0002-4778-5584"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Huijuan Xu","raw_affiliation_strings":["Boston University"],"affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100732746","display_name":"Boyang Li","orcid":"https://orcid.org/0000-0002-6230-2376"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boyang Li","raw_affiliation_strings":["Baidu Research"],"affiliations":[{"raw_affiliation_string":"Baidu Research","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001707003","display_name":"Vasili Ramanishka","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vasili Ramanishka","raw_affiliation_strings":["Boston University"],"affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053011888","display_name":"Leonid Sigal","orcid":"https://orcid.org/0000-0002-3942-2804"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Leonid Sigal","raw_affiliation_strings":["University of British Columbia"],"affiliations":[{"raw_affiliation_string":"University of British Columbia","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075906727","display_name":"Kate Saenko","orcid":"https://orcid.org/0000-0002-7564-7218"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kate Saenko","raw_affiliation_strings":["Boston University"],"affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101404512"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1379,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.936298,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","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/T11714","display_name":"Multimodal Machine Learning Applications","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/T10812","display_name":"Human Pose and Action Recognition","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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8546277284622192},{"id":"https://openalex.org/keywords/closed-captioning","display_name":"Closed captioning","score":0.818176805973053},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7327203750610352},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.7059242129325867},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6708645820617676},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.550512969493866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5189054608345032},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.4422370195388794},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.44117990136146545},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16394010186195374},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07507514953613281}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8546277284622192},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.818176805973053},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7327203750610352},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.7059242129325867},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6708645820617676},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.550512969493866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5189054608345032},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.4422370195388794},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.44117990136146545},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16394010186195374},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07507514953613281},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacvw.2019.00011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacvw.2019.00011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Winter Applications of Computer Vision Workshops (WACVW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1536680647","https://openalex.org/W1586939924","https://openalex.org/W1596841185","https://openalex.org/W1797109199","https://openalex.org/W1895577753","https://openalex.org/W1923404803","https://openalex.org/W1931639407","https://openalex.org/W1945129080","https://openalex.org/W1947481528","https://openalex.org/W1983364832","https://openalex.org/W2105101328","https://openalex.org/W2139501017","https://openalex.org/W2142900973","https://openalex.org/W2156303437","https://openalex.org/W2251849926","https://openalex.org/W2461621749","https://openalex.org/W2472970127","https://openalex.org/W2508191294","https://openalex.org/W2519328139","https://openalex.org/W2549599535","https://openalex.org/W2552002300","https://openalex.org/W2597958930","https://openalex.org/W2755876276","https://openalex.org/W2962883855","https://openalex.org/W2963017553","https://openalex.org/W2963247196","https://openalex.org/W2963576560","https://openalex.org/W2963758027","https://openalex.org/W2963916161","https://openalex.org/W2964089981","https://openalex.org/W2964214371","https://openalex.org/W2964241990"],"related_works":["https://openalex.org/W4210416330","https://openalex.org/W2775506363","https://openalex.org/W3088136942","https://openalex.org/W4290852288","https://openalex.org/W2949362007","https://openalex.org/W4283207562","https://openalex.org/W2963177403","https://openalex.org/W2330246314","https://openalex.org/W2949522393","https://openalex.org/W4385572368"],"abstract_inverted_index":{"Dense":[0],"video":[1,9,40],"captioning":[2],"involves":[3],"first":[4],"localizing":[5],"events":[6,49],"in":[7,32],"a":[8,57],"and":[10,24,54],"then":[11,55],"generating":[12],"captions":[13],"for":[14,28],"the":[15,20,38,67,74,81],"identified":[16],"events.":[17],"We":[18,72],"present":[19],"Joint":[21],"Event":[22],"Detection":[23],"Description":[25],"Network":[26],"(JEDDi-Net)":[27],"solving":[29],"this":[30],"task":[31],"an":[33],"end-to-end":[34],"fashion,":[35],"which":[36],"encodes":[37],"input":[39],"stream":[41],"with":[42,62],"three-dimensional":[43],"convolutional":[44],"layers,":[45],"proposes":[46],"variable-length":[47],"temporal":[48],"based":[50],"on":[51,80],"pooled":[52],"features,":[53],"uses":[56],"two-level":[58],"hierarchical":[59],"LSTM":[60],"module":[61],"context":[63],"modeling":[64],"to":[65],"transcribe":[66],"event":[68],"proposals":[69],"into":[70],"captions.":[71],"show":[73],"effectiveness":[75],"of":[76],"our":[77],"proposed":[78],"JEDDi-Net":[79],"large-scale":[82],"ActivityNet":[83],"Captions":[84],"dataset.":[85]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}