A benchmark of visual storytelling in social media

Detalhes bibliográficos
Autor(a) principal: Marcelino, Gonçalo
Data de Publicação: 2019
Outros Autores: Semedo, David, Mourão, André, Blasi, Saverio, Mrak, Marta, Magalhães, João
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/118462
Resumo: CMUP-ERI/TIC/0046/2014
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spelling A benchmark of visual storytelling in social mediaBenchmarkSocial mediaStorytellingSoftwareComputer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionCMUP-ERI/TIC/0046/2014Media editors in the newsroom are constantly pressed to provide a "like-being there" coverage of live events. Social media provides a disorganised collection of images and videos that media professionals need to grasp before publishing their latest news updated. Automated news visual storyline editing with social media content can be very challenging, as it not only entails the task of finding the right content but also making sure that news content evolves coherently over time. To tackle these issues, this paper proposes a benchmark for assessing social media visual storylines. The SocialStories benchmark, comprised by total of 40 curated stories covering sports and cultural events, provides the experimental setup and introduces novel quantitative metrics to perform a rigorous evaluation of visual storytelling with social media data.ACM - Association for Computing MachineryNOVALincsRUNMarcelino, GonçaloSemedo, DavidMourão, AndréBlasi, SaverioMrak, MartaMagalhães, João2021-05-28T22:35:26Z2019-06-052019-06-05T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersion5application/pdfhttp://hdl.handle.net/10362/118462eng9781450367653PURE: 31566006https://doi.org/10.1145/3323873.3325047info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-22T17:53:34Zoai:run.unl.pt:10362/118462Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T17:53:34Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A benchmark of visual storytelling in social media
title A benchmark of visual storytelling in social media
spellingShingle A benchmark of visual storytelling in social media
Marcelino, Gonçalo
Benchmark
Social media
Storytelling
Software
Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition
title_short A benchmark of visual storytelling in social media
title_full A benchmark of visual storytelling in social media
title_fullStr A benchmark of visual storytelling in social media
title_full_unstemmed A benchmark of visual storytelling in social media
title_sort A benchmark of visual storytelling in social media
author Marcelino, Gonçalo
author_facet Marcelino, Gonçalo
Semedo, David
Mourão, André
Blasi, Saverio
Mrak, Marta
Magalhães, João
author_role author
author2 Semedo, David
Mourão, André
Blasi, Saverio
Mrak, Marta
Magalhães, João
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv NOVALincs
RUN
dc.contributor.author.fl_str_mv Marcelino, Gonçalo
Semedo, David
Mourão, André
Blasi, Saverio
Mrak, Marta
Magalhães, João
dc.subject.por.fl_str_mv Benchmark
Social media
Storytelling
Software
Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition
topic Benchmark
Social media
Storytelling
Software
Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition
description CMUP-ERI/TIC/0046/2014
publishDate 2019
dc.date.none.fl_str_mv 2019-06-05
2019-06-05T00:00:00Z
2021-05-28T22:35:26Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/118462
url http://hdl.handle.net/10362/118462
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 9781450367653
PURE: 31566006
https://doi.org/10.1145/3323873.3325047
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 5
application/pdf
dc.publisher.none.fl_str_mv ACM - Association for Computing Machinery
publisher.none.fl_str_mv ACM - Association for Computing Machinery
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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