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Books > Social sciences > Psychology > Cognition & cognitive psychology
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Human Perception of Visual Information - Psychological and Computational Perspectives (Hardcover, 1st ed. 2022)
Loot Price: R4,479
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Human Perception of Visual Information - Psychological and Computational Perspectives (Hardcover, 1st ed. 2022)
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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 from content retrieval and search,
storytelling, to targeted advertising, education and learning, and
content filtering. Work already exists in the literature that
studies the psychological aspects of these notions or investigates
potential correlations between two or more of these human concepts.
Attempts at building computational models capable of predicting
such notions can also be found, using state-of-the-art machine
learning techniques. Nevertheless their performance proves that
there is still room for improvement, as the tasks are by nature
highly challenging and multifaceted, requiring thought on both the
psychological implications of the human concepts, as well as their
translation to machines.
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