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Titlebook: Modeling Visual Aesthetics, Emotion, and Artistic Style; James Z. Wang,Reginald B. Adams, Jr. Book 2024 The Editor(s) (if applicable) and

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書(shū)目名稱(chēng)Modeling Visual Aesthetics, Emotion, and Artistic Style
編輯James Z. Wang,Reginald B. Adams, Jr.
視頻videohttp://file.papertrans.cn/637/636076/636076.mp4
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
圖書(shū)封面Titlebook: Modeling Visual Aesthetics, Emotion, and Artistic Style;  James Z. Wang,Reginald B. Adams, Jr. Book 2024 The Editor(s) (if applicable) and
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
關(guān)鍵詞Artificial Intelligence; Emotion; Aesthetics; Style; Visual Art; Computer Vision; Statistical Modeling; Sig
版次1
doihttps://doi.org/10.1007/978-3-031-50269-9
isbn_softcover978-3-031-50271-2
isbn_ebook978-3-031-50269-9
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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978-3-031-50271-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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