Titlebook: Human Perception of Visual Information; Psychological and Co Bogdan Ionescu,Wilma A. Bainbridge,Naila Murray Book 2022 The Editor(s) (if ap

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The Ingredients of Scenes that Affect Object Search and Perception,tual information to generate optimal predictions about objects in scenes. Over the course of our lives, we have acquired knowledge regarding co-occurring local objects as well as the global scene contexts in which they are usually encountered, creating strong predictions regarding . objects are typi

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昏迷状态

Affective Perception: The Power Is in the Picture,s a function of differences in rated pleasure, arousal and specific scene content. In this chapter, we review these data, and conduct new picture-based reliability analyses (using existing databases) with the goal of assessing the extent to which specific pictures reliably engage emotional reactions

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Computational Emotion Analysis From Images: Recent Advances and Future Directions,this chapter, we aim to introduce image emotion analysis (IEA) from a computational perspective with the focus on summarizing recent advances and suggesting future directions. We begin with commonly used emotion representation models from psychology. We then define the key computational problems tha

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The Interplay of Objective and Subjective Factors in Empirical Aesthetics,7, 2013). Its history dates back to the birth of visual psychophysics and the work of Gustav Fechner (. (Vol. 1). Brietkopf & Härtel, 1876), while multiple models of aesthetic experience have been proposed in the intervening years (Chatterjee A, Vartanian O, Trends in Cognitive Sciences 18(7):370–37

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Advances and Challenges in Computational Image Aesthetics,fteen years, computational aesthetics has undergone unprecedented development, thanks to the availability of large annotated datasets and deep learning approaches, impacting many applications in multimedia from image enhancement to recommendation and retrieval. In this chapter, we first overview the

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Memorability: An Image-Computable Measure of Information Utility,orability varies by image, it is largely independent of an individual observer. Observer independence is what makes memorability an image-computable measure of information, and eligible for automatic prediction. In this chapter, we zoom into memorability with a computational lens, detailing the stat

Ebct207

The Influence of Low- and Mid-Level Visual Features on the Perception of Streetscape Qualities,ehavior. The occurrence of different low-level (e.g., spatial and color properties) and mid-level features (e.g., objects) that mimic patterns seen in nature may influence the quality of pedestrian experiences in urban environments. For example, buildings harboring low-level visual features/patterns

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