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Image Understanding by Socializing the Semantic Gap

Tiberio Uricchio
University of Florence, Italy - ORCID: 0000-0003-1025-4541

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Collana: Premio Tesi di Dottorato ISSN 2612-8039 (print) - ISSN 2612-8020 (online)

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Metadata licence CC0 1.0

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.

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Anno di edizione: 2017

Prezzo: 11,90 €

Pagine: 150

ISSN print: 2612-8039

ISBN: 978-88-6453-576-0

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Anno di edizione: 2017

Pagine: 150

ISSN online: 2612-8020

e-ISBN: 978-88-6453-577-7

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© 2017 Author(s)
Content licence CC BY 4.0
Metadata licence CC0 1.0

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