{"id":"https://openalex.org/W2934526719","doi":"https://doi.org/10.1109/access.2019.2907164","title":"Generating Multimedia Storyline for Effective Disaster Information Awareness","display_name":"Generating Multimedia Storyline for Effective Disaster Information Awareness","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2934526719","doi":"https://doi.org/10.1109/access.2019.2907164","mag":"2934526719"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2907164","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2907164","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08673759.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08673759.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102763792","display_name":"Ruifeng Yuan","orcid":"https://orcid.org/0000-0002-5151-8067"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruifeng Yuan","raw_affiliation_strings":["Shenzhen Research Institute, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001265922","display_name":"Jinxin Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxin Ni","raw_affiliation_strings":["Shenzhen Research Institute, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034395042","display_name":"Qifeng Zhou","orcid":"https://orcid.org/0000-0003-3583-6943"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qifeng Zhou","raw_affiliation_strings":["Shenzhen Research Institute, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0003-3583-6943","affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1985,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.51113568,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"47401","last_page":"47410"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9797999858856201,"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":0.9797999858856201,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9408000111579895,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9369000196456909,"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/computer-science","display_name":"Computer science","score":0.902472734451294},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.50701904296875},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.491520494222641},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.47840389609336853},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4736897945404053},{"id":"https://openalex.org/keywords/information-overload","display_name":"Information overload","score":0.46139857172966003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43591511249542236},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.4273654520511627},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.42526277899742126},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3836634159088135},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3691471815109253},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20677527785301208}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.902472734451294},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.50701904296875},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.491520494222641},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.47840389609336853},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4736897945404053},{"id":"https://openalex.org/C186625053","wikidata":"https://www.wikidata.org/wiki/Q1130191","display_name":"Information overload","level":2,"score":0.46139857172966003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43591511249542236},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.4273654520511627},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.42526277899742126},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3836634159088135},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3691471815109253},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20677527785301208},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2907164","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2907164","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08673759.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ff5fc853487b41c6932185418cd9d749","is_oa":true,"landing_page_url":"https://doaj.org/article/ff5fc853487b41c6932185418cd9d749","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 47401-47410 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2907164","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2907164","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08673759.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G6837266314","display_name":null,"funder_award_id":"2017J01118","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2934526719.pdf","grobid_xml":"https://content.openalex.org/works/W2934526719.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W153995565","https://openalex.org/W1549114989","https://openalex.org/W1921650316","https://openalex.org/W2009976792","https://openalex.org/W2015488270","https://openalex.org/W2018720926","https://openalex.org/W2060724430","https://openalex.org/W2069207503","https://openalex.org/W2082105757","https://openalex.org/W2097241552","https://openalex.org/W2126725946","https://openalex.org/W2130596747","https://openalex.org/W2148374900","https://openalex.org/W2150824314","https://openalex.org/W2250209789","https://openalex.org/W2252213301","https://openalex.org/W2461084364","https://openalex.org/W2533695076","https://openalex.org/W2563086061","https://openalex.org/W2740132093","https://openalex.org/W2783920182","https://openalex.org/W6640121832","https://openalex.org/W6665613779","https://openalex.org/W6674832899","https://openalex.org/W6691400989"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4391584540","https://openalex.org/W2888032422","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4395044357","https://openalex.org/W2996316059","https://openalex.org/W4287117424","https://openalex.org/W4387506531"],"abstract_inverted_index":{"Storyline":[0],"generation":[1],"has":[2],"emerged":[3],"to":[4,9,17,51,70,96],"be":[5],"an":[6,72],"effective":[7],"method":[8],"describe":[10],"the":[11,18,26,103,127,130,137],"evolution":[12],"of":[13,25,61,129],"disaster.":[14],"However,":[15],"due":[16],"temporal-spatial,":[19],"heterogeneous,":[20],"and":[21,35,55,58,82,91,106,111,136],"information":[22,57],"overload,":[23],"most":[24],"existing":[27],"storylines":[28,50],"are":[29,108],"only":[30],"based":[31],"on":[32,121],"textual":[33],"data":[34,124],"deliver":[36],"limited":[37],"information.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42,79],"introduce":[43],"a":[44,87,98,114],"novel":[45],"framework":[46],"for":[47],"generating":[48,117],"multimedia":[49],"provide":[52],"more":[53],"concise":[54],"vivid":[56],"deeper":[59],"understanding":[60],"real-time":[62],"events.":[63],"We":[64],"first":[65],"adopt":[66],"generative":[67],"adversarial":[68],"networks":[69,95],"implement":[71],"unsupervised":[73],"bilingual":[74,104],"document":[75],"summarizing":[76],"model.":[77,100],"Then,":[78],"transform":[80],"image":[81],"text":[83],"incorporation":[84],"problem":[85,90],"into":[86,113],"multi-label":[88],"learning":[89],"use":[92],"convolutional":[93],"neural":[94],"train":[97],"classification":[99],"And":[101],"finally,":[102],"documents":[105],"images":[107],"jointly":[109],"summarized":[110],"embedded":[112],"two-layer":[115],"storyline":[116],"framework.":[118,139],"The":[119],"experiments":[120],"real":[122],"Hurricane":[123],"sets":[125],"demonstrate":[126],"effectiveness":[128],"proposed":[131],"methods":[132],"in":[133],"each":[134],"level":[135],"overall":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}