| 书目名称 | Modeling Visual Aesthetics, Emotion, and Artistic Style | | 编辑 | James Z. Wang,Reginald B. Adams, Jr. | | 视频video | | | 概述 | The book uniquely brings together diverse fields, fostering a first-of-its-kind, multidisciplinary approach.Bridging gaps in current computer vision methods, and necessitating a unified effort for adv | | 图书封面 |  | | 描述 | .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 practitioners from diverse fields including computer vision, affective computing, robotics, psychology, data mining, machine learning, art history, and movement analysis. This volume seeks to address the profound and challenging research questions related to the computational modeling and analysis of visual aesthetics, emotions, and artistic style, vital components of the human experience that are increasingly relevant in our digitally connected world...The book‘s vast scope encompasses a broad range of topics. 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 and emotional perception from faces and bodies. Subsequent sections broaden this understa | | 出版日期 | Book 2024 | | 关键词 | Artificial Intelligence; Emotion; Aesthetics; Style; Visual Art; Computer Vision; Statistical Modeling; Sig | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-50269-9 | | isbn_softcover | 978-3-031-50271-2 | | isbn_ebook | 978-3-031-50269-9 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 16:27:24
