Cross-Cultural Multimedia Computing Cross-Cultural Multimedia Computing
SpringerBriefs in Computer Science

Cross-Cultural Multimedia Computing

Semantic and Aesthetic Modeling

Shlomo Dubnov and Others
    • 42,99 €
    • 42,99 €

Publisher Description

The 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 andFar 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.

GENRE
Computing & Internet
RELEASED
2016
19 August
LANGUAGE
EN
English
LENGTH
74
Pages
PUBLISHER
Springer International Publishing
SIZE
2.4
MB

More Books by Shlomo Dubnov, Kevin Burns & Yasushi Kiyoki

Other Books in This Series

Practical Backscatter Communication for the Internet of Things Practical Backscatter Communication for the Internet of Things
2024
Efficient Online Incentive Mechanism Designs for Wireless Communications Efficient Online Incentive Mechanism Designs for Wireless Communications
2024
Human Digital Twin Human Digital Twin
2024
From Unimodal to Multimodal Machine Learning From Unimodal to Multimodal Machine Learning
2024
Open-Set Text Recognition Open-Set Text Recognition
2024
Applications of Game Theory in Deep Learning Applications of Game Theory in Deep Learning
2024