LEADER 03765nam  22006135  450 
001 9910299563103321
005 20200629153508.0
010   $a981-10-3561-X
024 7 $a10.1007/978-981-10-3561-6
035   $a(CKB)4340000000062846
035   $a(DE-He213)978-981-10-3561-6
035   $a(MiAaPQ)EBC4917548
035   $a(PPN)203667387
035   $a(EXLCZ)994340000000062846
100   $a20170718d2018      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aComputational Approaches in the Transfer of Aesthetic Values from Paintings to Photographs $eBeyond Red, Green and Blue /$fby Xiaoyan Zhang, Martin Constable, Kap Luk Chan, Jinze Yu, Wang Junyan
205   $a1st ed. 2018.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2018.
215   $a1 online resource (XV, 205 p. 148 illus.) 
311   $a981-10-3559-8 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aIntroduction -- Colour Attributes of Paintings -- Geometric Attributes of Paintings -- Paintings Versus Photographs -- Computational Algorithms: Colour Attributes -- Future Work.
330   $aThis book examines paintings using a computational and quantitative approach. Specifically, it compares paintings to photographs, addressing the strengths and limitations of both. Particular aesthetic practices are examined such as the vista, foreground to background organisation and the depth planes. These are analysed using a range of computational approaches and clear observations are made. New generations of image-capture devices such as Google goggles and the light field camera, promise a future in which the formal attributes of a photograph are made available for editing to a degree that has hitherto been the exclusive territory of painting. In this sense paintings and photographs are converging, and it therefore seems an opportune time to study the comparisons between them. In this context, the book includes cutting-edge work examining how some of the aesthetic attributes of a painting can be transferred to a photograph using the latest computational approaches.
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aOptical data processing
606   $aComputer mathematics
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021
606   $aComputational Science and Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/M14026
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aOptical data processing.
615  0$aComputer mathematics.
615 14$aSignal, Image and Speech Processing.
615 24$aImage Processing and Computer Vision.
615 24$aComputational Science and Engineering.
676   $a621.382
700   $aZhang$b Xiaoyan$4aut$4http://id.loc.gov/vocabulary/relators/aut$01064411
702   $aConstable$b Martin$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aChan$b Kap Luk$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aYu$b Jinze$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aJunyan$b Wang$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910299563103321
996   $aComputational Approaches in the Transfer of Aesthetic Values from Paintings to Photographs$92537883
997   $aUNINA