Electronic Resource

Human Perception of Visual Information: Psychological and Computational Perspectives

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Penilaian

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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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Availability

Inventory Code	Barcode	Call Number	Location	Status
2008000085	EB0003974	005.2 HUm	Central Library (Database Springer E-Book)	Available

Detail Information

Series Title

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Call Number

005.2 HUm

Publisher

Switzerland : Springer Cham., 2022

Collation

ix, 292p.: Ill.

Language

English

ISBN/ISSN

978-3-030-81465-6

Classification

005.2

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

User interfaces (Computer systems)--Design

Specific Detail Info

-

Statement of Responsibility

RTS

Other version/related

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