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Cross-Cultural Multimedia Computing

Semantic and Aesthetic Modeling
Book on DemandKartoniert, Paperback
62 Seiten
Englisch
Springererschienen am29.08.20161st ed. 2016
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.mehr
Verfügbare Formate
E-BookPDF1 - PDF WatermarkE-Book
EUR53,49
Book on DemandKartoniert, Paperback
EUR53,49

Produkt

KlappentextThese 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.
Zusammenfassung
Includes supplementary material: sn.pub/extras
Details
ISBN/GTIN978-3-319-42871-0
ProduktartBook on Demand
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2016
Erscheinungsdatum29.08.2016
Auflage1st ed. 2016
Seiten62 Seiten
SpracheEnglisch
Gewicht131 g
IllustrationenXII, 62 p. 31 illus.
Artikel-Nr.38530793

Inhalt/Kritik

Inhaltsverzeichnis
Introduction.- 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.mehr

Schlagworte

Autor

Shlomo Dubnov is a Professor in Music and Computer Science in UCSD. He holds PhD in Computer Science from Hebrew University, MSc in EE from Israel Institute of Technology (Technion) and B.Mus in music composition from Rubin Academy in Jerusalem. He served as a researcher at Institute for Research and Coordination in Acoustics and Music (IRCAM) in Centre Pompidou, Paris and was a visiting professor in KEIO University, Japan, and Computer Science Laboratory (LaBRI) in University of Bordeaux, France. His work on computational modeling of style and computer audition has led to development of several computer music programs for improvisation and machine understanding of music. He currently directs the Center for Research in Entertainment and Learning (CREL) at UCSD's Qualcomm Institute (Calit2) and serves as a lead editor in ACM Computers in Entertainment Journal.
Kevin Burns is a Cognitive Scientist researching human perceptions, decisions, emotions, andinteractions between humans and machines - with applications to national security, industrial safety, organizational efficiency, and personal artistry. The objective across these diverse domains is to measure and model how people think and feel, as a basis for building machines that can help humans manage risk and enjoy life. Kevin is employed by The MITRE Corporation and holds engineering degrees from the Massachusetts Institute of Technology.
Yasushi Kiyoki received his B.E., M.E. and Ph.D. degrees in electrical engineering from Keio University in 1978, 1980 and 1983, respectively. From 1984 to 1996, he was with Institute of Information Sciences and Electronics, Univ. of Tsukuba, as an assistant professor and then an associate professor. In 1990 and 1991, he was in University of California at Irvine, as a visiting researcher. Since 1996, he has been with Department of Environment and Information Studies at Keio University, and from 1998 he is currently a professor. Since 2011, he is a chair and coordinator of Global Environmental System Leader Program (GESL) in KEIO University. His research addresses semantic computing, environmental engineering, multimedia database systems and knowledge base systems. His original semantic model is Mathematical Model of Meaning (MMM), and he has more than 100 paper publications related to MMM. He serves as the editor-in-chief on Information Modelling and Knowledge Bases (IOS Press). He has also served as the program chair for several international conferences, such as International Conferences on Information Modelling and Knowledge Bases (2004 - Present). He was a keynote speaker in 7th IEEE International Conference on Semantic Computing, Sept. 2013, as the title of A Kansei: Multimedia Computing System for Environmental Analysis and Cross-Cultural Communication.