LEADER 03912nam 22006255 450 001 9910254630503321 005 20250609111204.0 010 $a3-319-31486-6 024 7 $a10.1007/978-3-319-31486-0 035 $a(CKB)3710000000734958 035 $a(DE-He213)978-3-319-31486-0 035 $a(MiAaPQ)EBC4561878 035 $a(PPN)194379523 035 $a(MiAaPQ)EBC6241854 035 $a(EXLCZ)993710000000734958 100 $a20160620d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aQuantifying Aesthetics of Visual Design Applied to Automatic Design /$fby Ali Jahanian 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XIV, 137 p. 45 illus., 42 illus. in color.) 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 300 $a"Doctoral Thesis accepted by Purdue University." 311 08$a3-319-31485-8 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aIntroduction -- On The Legitimacy Of Quantifying Aesthetics -- Design Mining Color Semantics -- Design Mining Visual Balance -- Automatic Design Of Self-Published Media: A Case Study Of Magazine Covers -- Recommendation System For Automatic Design. 330 $aIn this thesis, the author makes several contributions to the study of design of graphical materials. The thesis begins with a review of the relationship between design and aesthetics, and the use of mathematical models to capture this relationship. Then, a novel method for linking linguistic concepts to colors using the Latent Dirichlet Allocation Dual Topic Model is proposed. Next, the thesis studies the relationship between aesthetics and spatial layout by formalizing the notion of visual balance. Applying principles of salience and Gaussian mixture models over a body of about 120,000 aesthetically rated professional photographs, the author provides confirmation of Arnhem's theory about spatial layout. The thesis concludes with a description of tools to support automatically generating personalized design. Nominated as an outstanding Ph.D. thesis by Purdue University, USA Focuses on the automatic design of visual media and the quantification of such designs' aesthetics Tackles the understanding of visual design concepts and principles to create solutions and interactions for users who are part of the design creation system Proposes approaches toward understanding design thinking in design of self-publishing media. 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aElectronic circuits 606 $aOptical materials 606 $aElectronics$xMaterials 606 $aComputational linguistics 606 $aElectronic Circuits and Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/P31010 606 $aOptical and Electronic Materials$3https://scigraph.springernature.com/ontologies/product-market-codes/Z12000 606 $aComputational Linguistics$3https://scigraph.springernature.com/ontologies/product-market-codes/N22000 615 0$aElectronic circuits. 615 0$aOptical materials. 615 0$aElectronics$xMaterials. 615 0$aComputational linguistics. 615 14$aElectronic Circuits and Devices. 615 24$aOptical and Electronic Materials. 615 24$aComputational Linguistics. 676 $a620.00420285 700 $aJahanian$b Ali$4aut$4http://id.loc.gov/vocabulary/relators/aut$0809959 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254630503321 996 $aQuantifying Aesthetics of Visual Design Applied to Automatic Design$91813292 997 $aUNINA