Modeling Visual Aesthetics, Emotion, and Artistic Style
Modeling Visual Aesthetics, Emotion, and Artistic Style offers a comprehensive exploration of the increasingly significant topic of the complex interplay between human perception and digital technology. It embodies the cumulative knowledge and efforts of a wide array of active researchers and practi...
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| Müşterek Yazar: | |
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| Diğer Yazarlar: | , |
| Materyal Türü: | Elektronik Ekitap |
| Dil: | İngilizce |
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Springer International Publishing : Imprint: Springer,
2024.
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| Edisyon: | 1st ed. 2024. |
| Konular: | |
| Online Erişim: | https://doi.org/10.1007/978-3-031-50269-9 |
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İçindekiler:
- 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.