Modeling Visual Aesthetics, Emotion, and Artistic Style

Wang, James Z., Adams Jr, Reginald B.

Modeling Visual Aesthetics, Emotion, and Artistic Style
  • 出版商: Springer
  • 出版日期: 2024-03-29
  • 售價: $7,030
  • 貴賓價: 9.5 折 $6,679
  • 語言: 英文
  • 頁數: 396
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 303150268X
  • ISBN-13: 9783031502682

    • 海外代購書籍(需單獨結帳)

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商品描述

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 understanding to include technology's role in detecting discrete and subtle emotional expressions, examining facial neutrality, and including research contexts that involve children as well as adults. Furthermore, the book illuminates the dynamic intersection of art and technology, the language of photography, the relationship between breath-driven robotic performances and human dance, and the application of machine learning in analyzing artistic styles.

This book sets itself apart with its unique multidisciplinary approach, encouraging collaboration across related domains. Packed with comprehensive tutorials, theoretical reviews, novel methodologies, empirical investigations, and comparative analyses, the book offers a rich combination of knowledge and methodologies. The book's focus on cutting-edge research not only presents the latest developments in the field but also illuminates potential paths that can lead to significant advancements in computer and robotic applications.


商品描述(中文翻譯)

《建模視覺美學、情感與藝術風格》提供了對人類感知與數位科技之間複雜互動的深入探索，這一主題日益重要。它體現了來自計算機視覺、情感計算、機器人技術、心理學、數據挖掘、機器學習、藝術史和運動分析等多個領域的活躍研究者和實踐者的累積知識與努力。本書旨在解決與視覺美學、情感和藝術風格的計算建模與分析相關的深刻且具挑戰性的研究問題，這些都是人類經驗的重要組成部分，在我們數位互聯的世界中愈加相關。

本書的範圍廣泛，涵蓋多種主題。最初的章節奠定了情感模型和機器學習的基礎知識，隨後轉向探討人類的社會視覺感知及其技術應用。讀者將揭示面孔和身體的社會與情感感知的心理學和神經學基礎。隨後的部分擴展了這一理解，涵蓋技術在檢測明確和微妙情感表達中的角色，檢視面部中立性，並包括涉及兒童和成人的研究背景。此外，本書還闡明了藝術與科技的動態交集、攝影的語言、呼吸驅動的機器人表演與人類舞蹈之間的關係，以及機器學習在分析藝術風格中的應用。

本書以其獨特的多學科方法脫穎而出，鼓勵相關領域之間的合作。書中包含全面的教程、理論回顧、新穎的方法論、實證研究和比較分析，提供了豐富的知識與方法論的結合。本書專注於前沿研究，不僅展示了該領域的最新發展，還照亮了可能導致計算機和機器人應用重大進展的潛在路徑。

作者簡介

James Z. Wang is a Distinguished Professor of the College of Information Sciences and Technology at The Pennsylvania State University. He received a bachelor's degree in mathematics summa cum laude from the University of Minnesota (1994), and an M.S. degree in mathematics (1997), an M.S. degree in computer science (1997), and a Ph.D. in medical information sciences (2000), all from Stanford University. His research interests include affective computing, image analysis, image modeling, image retrieval, and their applications. He was a visiting professor at the Robotics Institute at Carnegie Mellon University (2007-2008), a lead special section guest editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence (2008), and a program manager at the Office of the Director of the National Science Foundation (2011-2012).

Reginald B. Adams, Jr. is a Professor of Psychology at The Pennsylvania State University. He received his Ph.D. in social psychology from Dartmouth College in 2002. Reg is interested in how we extract social and emotional meaning from nonverbal cues, particularly via the face. His work addresses how multiple social messages (e.g., emotion, gender, race, age, etc.) combine across multiple modalities and interact to form the unified representations that guide our impressions of and responses to others. Although his questions are social psychological in origin, his research draws upon vision cognition and affective neuroscience to address social perception at the functional and neuroanatomical levels. With his colleagues, Reg helped establish and champion the subfield of Social Vision by publishing an edited volume titled The Science of Social Vision (Adams, Ambady, Nakayama, & Shimojo, 2010, Oxford University Press).

作者簡介(中文翻譯)

詹姆斯·Z·王是賓夕法尼亞州立大學資訊科學與技術學院的特聘教授。他於1994年在明尼蘇達大學獲得數學學士學位（優等生），並於1997年在史丹佛大學獲得數學碩士學位、計算機科學碩士學位，以及於2000年獲得醫學資訊科學博士學位。他的研究興趣包括情感計算、影像分析、影像建模、影像檢索及其應用。他曾於2007至2008年擔任卡內基梅隆大學機器人研究所的訪問教授，並於2008年擔任《IEEE模式分析與機器智慧期刊》的特別專欄主編，以及於2011至2012年擔任美國國家科學基金會主任辦公室的計畫經理。

雷金納德·B·亞當斯二世是賓夕法尼亞州立大學的心理學教授。他於2002年在達特茅斯學院獲得社會心理學博士學位。雷金對我們如何從非語言線索中提取社會和情感意義特別感興趣，尤其是透過面部表情。他的研究探討多重社會訊息（例如情感、性別、種族、年齡等）如何在多種模式中結合並互動，以形成指導我們對他人的印象和反應的統一表徵。儘管他的問題源於社會心理學，但他的研究借鑒了視覺認知和情感神經科學，以在功能和神經解剖層面上探討社會知覺。與同事們一起，雷金幫助建立並推廣社會視覺這一子領域，並出版了一本名為《社會視覺的科學》（Adams, Ambady, Nakayama, & Shimojo, 2010, Oxford University Press）的編輯專著。

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