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001 978-3-319-42873-4
003 DE-He213
005 20200420221253.0
007 cr nn 008mamaa
008 160819s2016 gw | s |||| 0|eng d
020 _a9783319428734
_9978-3-319-42873-4
024 7 _a10.1007/978-3-319-42873-4
_2doi
050 4 _aQA76.575
072 7 _aUG
_2bicssc
072 7 _aCOM034000
_2bisacsh
082 0 4 _a006.7
_223
100 1 _aDubnov, Shlomo.
_eauthor.
245 1 0 _aCross-Cultural Multimedia Computing
_h[electronic resource] :
_bSemantic and Aesthetic Modeling /
_cby Shlomo Dubnov, Kevin Burns, Yasushi Kiyoki.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXII, 62 p. 31 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Computer Science,
_x2191-5768
505 0 _aIntroduction -- A 'Kansei' Multimedia and Semantic Computing System for Cross-Cultural Communication -- Cross-cultural Aesthetics: Analyses and Experiments in Verbal and Visual Arts -- Information Sensibility as a Cultural Characteristic: Tuning to Sound Details for Aesthetic Experience.
520 _aThe ability to communicate cultural codes in multimedia depends on their meaning and beauty, as perceived by different audiences around the globe. In this book, the ongoing research on computational modeling of visual, musical and textual contents is described in terms of identifying and mapping their semantic representations across different cultures. The underlying psychology of sense-making is quantified through analysis of aesthetics in terms of organizational and structural aspects of the contents that influence an audience's formation of expectations for future signals, violations of these expectations, and explanations of their meaning. Complexity-accuracy tradeoffs in sound representation are further used to develop new computational methods that capture poietic and aesthetic aspects in music communication. Experimental studies are reported that try to characterize preferences for complexity in abstract, classical and traditional art and music across samples of Western and Far Eastern cultures. These experiments illustrate how aesthetics can be computed in terms of semantic and information measures, highlighting commonalities and uncovering differences in aesthetic preferences across cultures and individuals.
650 0 _aComputer science.
650 0 _aComputer communication systems.
650 0 _aMultimedia information systems.
650 1 4 _aComputer Science.
650 2 4 _aMultimedia Information Systems.
650 2 4 _aComputer Communication Networks.
700 1 _aBurns, Kevin.
_eauthor.
700 1 _aKiyoki, Yasushi.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319428710
830 0 _aSpringerBriefs in Computer Science,
_x2191-5768
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-42873-4
912 _aZDB-2-SCS
942 _cEBK
999 _c52718
_d52718