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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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發(fā)表于 2025-3-21 17:13:47 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Human Perception of Visual Information
副標題Psychological and Co
編輯Bogdan Ionescu,Wilma A. Bainbridge,Naila Murray
視頻videohttp://file.papertrans.cn/430/429354/429354.mp4
概述This book brings together experts in psychology and computer science.Each topic is presented as a pair of chapters
圖書封面Titlebook: Human Perception of Visual Information; Psychological and Co Bogdan Ionescu,Wilma A. Bainbridge,Naila Murray Book 2022 The Editor(s) (if ap
描述Recent years have witnessed important advancements in our understanding of the psychological underpinnings of subjective properties of visual information, such as aesthetics, memorability, or induced emotions. Concurrently, computational models of objective visual properties such as semantic labelling and geometric relationships have made significant breakthroughs using the latest achievements in machine learning and large-scale data collection. There has also been limited but important work exploiting these breakthroughs to improve computational modelling of subjective visual properties. The time is ripe to explore how advances in both of these fields of study can be mutually enriching and lead to further progress..This book combines perspectives from psychology and machine learning to showcase a new,? unified? understanding? of? how? images? and? videos? influence? high-level? visual? perception? -? particularly? interestingness,? affective? values? and? emotions,? aesthetic? values,? memorability,? novelty,? complexity,? visual composition and stylistic attributes, and creativity. These human-based metrics are interesting for a very broad range of current applications, ranging f
出版日期Book 2022
關鍵詞human perception of visual information; interestingness prediction; induced emotion prediction; aesthet
版次1
doihttps://doi.org/10.1007/978-3-030-81465-6
isbn_softcover978-3-030-81467-0
isbn_ebook978-3-030-81465-6
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 23:42:30 | 只看該作者
Computational Emotion Analysis From Images: Recent Advances and Future Directions,of major challenges in IEA, we present some representative methods on emotion feature extraction, supervised classifier learning, and domain adaptation. Furthermore, we introduce available datasets for evaluation and summarize some main results. Finally, we discuss some open questions and future directions that researchers can pursue.
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發(fā)表于 2025-3-22 00:49:12 | 只看該作者
Book 2022ion, such as aesthetics, memorability, or induced emotions. Concurrently, computational models of objective visual properties such as semantic labelling and geometric relationships have made significant breakthroughs using the latest achievements in machine learning and large-scale data collection.
地板
發(fā)表于 2025-3-22 06:43:02 | 只看該作者
Shared Memories Driven by the Intrinsic Memorability of Items, and may reveal how the brain prioritizes information before encoding items into memory. In this chapter, I will discuss our current state-of-the-art understanding of memorability for visual information, and what these findings imply about how we perceive and remember visual events.
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https://doi.org/10.1007/978-3-030-81465-6human perception of visual information; interestingness prediction; induced emotion prediction; aesthet
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