Modeling Visual Aesthetics, Emotion, and Artistic Style
The initial chapters lay a strong foundation with background knowledge on emotion models and machine learning, which then transitions into exploring social visual perception in humans and its technological applications. Readers will uncover the psychological and neurological foundations of social an...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2024, 2024
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| Edition: | 1st ed. 2024 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Models of Human Emotion and Artificial Emotional Intelligence
- A Concise Introduction to Machine Learning
- Facing a Perceptual Crossroads: Mixed Messages and Shared Meanings in Social Visual Perception
- Social Vision of the Body In Motion: Interactions Between the Perceiver and the Perceived
- Visual Perception of Threat: Structure, Dynamics, and Individual Differences
- From Pixels to Power: Critical Feminist Questions for the Ethics of Computer Vision
- High-Speed Joint Learning of Action Units and Facial Expressions
- ExpressionFlow: A Microexpression Descriptor for Efficient Recognition
- Emotion in the Neutral Face: Applications for Computer Vision and Aesthetics
- Multi-stream Temporal Networks for Emotion Recognition in Children and In the Wild
- The Formal Language of Photography: A Primer
- Breathing With Robots: Notating Performer Strategy, Alongside Choreographer Intent and Audience Observation, In Breath-driven Robotic Dance Performance
- Humanist-in-the-Loop: Machine Learning and the Analysis of Style in the Visual Arts
- The Inter-relationship between Photographic Aesthetics and Technical Quality
- Image Restoration for Beautification
- Image Affect Modeling: An Industrial Perspective
- Emotional Expression as a Means of Communicating Virtual Human Personalities
- Modeling Emotion Perception from Body Movements for Human-Machine Interactions using Laban Movement Analysis
- Demographic Differences and Biases in Affect Evoked by Visual Features
- Deep Network-based Computational Transfer of Artistic Style in Art Analysis
- Balance of Unity and Variety in Fine Art Paintings: A Computational Study