01939nam 2200385 450 991057170690332120230517180937.0(CKB)5860000000047419(NjHacI)995860000000047419(EXLCZ)99586000000004741920230517d2017 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierImage Understanding by Socializing the Semantic Gap /Tiberio UricchioFlorence :Firenze University Press,2017.1 online resource (150 pages)Premio Tesi di Dottorato88-927-3164-5 Several 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.Premio Tesi di dottorato.Technical editingComputer engineeringTechnical editing.Computer engineering.621.39Uricchio Tiberio1278208NjHacINjHaclBOOK9910571706903321Image Understanding by Socializing the Semantic Gap3012861UNINA