Image Understanding by Socializing the Semantic Gap

dc.creatorUricchio, Tiberio
dc.date.accessioned2021-02-15T17:22:53Z
dc.date.available2021-02-15T17:22:53Z
dc.date.created2017
dc.description.abstractenglishSeveral technological developments like the Internet, mobile devices and Social Networks have spurred the sharing of images in unprecedented volumes, making tagging and commenting a common habit. Despite the recent progress in image analysis, the problem of Semantic Gap still hinders machines in fully understand the rich semantic of a shared photo. In this book, we tackle this problem by exploiting social network contributions. A comprehensive treatise of three linked problems on image annotation is presented, with a novel experimental protocol used to test eleven state-of-the-art methods. Three novel approaches to annotate, under stand the sentiment and predict the popularity of an image are presented. We conclude with the many challenges and opportunities ahead for the multimedia community.spa
dc.format.extent150 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.doi10.36253/978-88-6453-577-7
dc.identifier.isbn978-88-645-3577-7
dc.identifier.issn2612-8020
dc.identifier.otherhttps://media.fupress.com/files/pdf/24/3505/3505_14489
dc.identifier.urihttps://hdl.handle.net/20.500.12010/17315
dc.language.isoengspa
dc.publisherFirenze University Pressspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.creativecommonshttps://creativecommons.org/licenses/by/4.0/legalcode
dc.rights.localAbierto (Texto Completo)spa
dc.subjectArquitecturaspa
dc.subject.lembIngeniería industrialspa
dc.subject.lembinternet -- dispositivos móvilesspa
dc.subject.lembComprensión de la imagenspa
dc.titleImage Understanding by Socializing the Semantic Gapspa
dc.type.coarhttp://purl.org/coar/resource_type/c_2f33spa

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