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100   $a20230517d2017      uy             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aImage Understanding by Socializing the Semantic Gap /$fTiberio Uricchio
210  1$aFlorence :$cFirenze University Press,$d2017.
215   $a1 online resource (150 pages)
225 1 $aPremio Tesi di Dottorato
311   $a88-927-3164-5 
330   $aSeveral technological developments like the Internet, mobile devices and Social Networks have spurred the sharing of images in unprecedented volumes, making tagging and commenting a common habit. Despite the recent progress in image analysis, the problem of Semantic Gap still hinders machines in fully understand the rich semantic of a shared photo. In this book, we tackle this problem by exploiting social network contributions. A comprehensive treatise of three linked problems on image annotation is presented, with a novel experimental protocol used to test eleven state-of-the-art methods. Three novel approaches to annotate, under stand the sentiment and predict the popularity of an image are presented. We conclude with the many challenges and opportunities ahead for the multimedia community.
410  0$aPremio Tesi di dottorato.
606   $aTechnical editing
606   $aComputer engineering
615  0$aTechnical editing.
615  0$aComputer engineering.
676   $a621.39
700   $aUricchio$b Tiberio$01278208
801  0$bNjHacI
801  1$bNjHacl
906   $aBOOK
912   $a9910571706903321
996   $aImage Understanding by Socializing the Semantic Gap$93012861
997   $aUNINA