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dc.contributor.authorTous Liesa, Rubén
dc.contributor.authorGómez Parada, Mauro
dc.contributor.authorPoveda, Jonatan
dc.contributor.authorCruz, Leonel
dc.contributor.authorWust, Otto
dc.contributor.authorMakni, Mouna
dc.contributor.authorAyguadé Parra, Eduard
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2018-09-20T07:27:11Z
dc.date.available2019-04-04T00:30:46Z
dc.date.issued2018-10
dc.identifier.citationTous, R., Gómez, M., Poveda, J., Cruz, L., Wust, O., Makni, M., Ayguadé, E. Automated curation of brand-related social media images with deep learning. "Multimedia tools and applications", Octubre 2018, vol. 77, núm. 20, p. 27123-27142.
dc.identifier.issn1380-7501
dc.identifier.urihttp://hdl.handle.net/2117/121321
dc.description.abstractThis paper presents a work consisting in using deep convolutional neural networks (CNNs) to facilitate the curation of brand-related social media images. The final goal is to facilitate searching and discovering user-generated content (UGC) with potential value for digital marketing tasks. The images are captured in real time and automatically annotated with multiple CNNs. Some of the CNNs perform generic object recognition tasks while others perform what we call visual brand identity recognition. When appropriate, we also apply object detection, usually to discover images containing logos. We report experiments with 5 real brands in which more than 1 million real images were analyzed. In order to speed-up the training of custom CNNs we applied a transfer learning strategy. We examine the impact of different configurations and derive conclusions aiming to pave the way towards systematic and optimized methodologies for automatic UGC curation.
dc.format.extent20 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic
dc.subject.lcshUser-generated content
dc.subject.lcshSocial media
dc.subject.lcshInformation retrieval
dc.subject.otherInstagram
dc.subject.otherTwitter
dc.subject.otherDeep learning
dc.subject.otherMarketing
dc.titleAutomated curation of brand-related social media images with deep learning
dc.typeArticle
dc.subject.lemacMitjans de comunicació social
dc.subject.lemacRecuperació de la informació
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.identifier.doi10.1007/s11042-018-5910-z
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://link.springer.com/article/10.1007%2Fs11042-018-5910-z
dc.rights.accessOpen Access
local.identifier.drac23193210
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//TIN2015-65316-P/ES/COMPUTACION DE ALTAS PRESTACIONES VII/
local.citation.authorTous, R.; Gómez, M.; Poveda, J.; Cruz, L.; Wust, O.; Makni, M.; Ayguadé, E.
local.citation.publicationNameMultimedia tools and applications
local.citation.volume77
local.citation.number20
local.citation.startingPage27123
local.citation.endingPage27142


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