Human Perception Of Visual Information

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.

This book considers computer vision to be an integral part of the artificial intelligence system. The core of the book is an analysis of possible approaches to the creation of artificial vision systems, which simulate human visual perception. Much attention is paid to the latest achievements in visual psychology and physiology, the description of the functional and structural organization of the human perception mechanism, the peculiarities of artistic perception and the expression of reality. Computer vision models based on these data are investigated. They include the processes of external data analysis, internal environmental model synthesis, and the generating of behavioristic responses based on external and internal models comparison. Computer vision system evolution resulting from environmental effects is also considered. A unique feature of this book is the authors' use of black and white, and colour prints of traditional and contemporary Russian art to illustrate their principal theses. In doing so, they introduce the reader to a particularly Russian view of the world.

It takes little or no effort for us to gather information by means of our senses but it would be a mistake to take this as a sign that perception is simple. It was in the 20th century and after the establishment of psychology as a scientific discipline that the study of perception flourished. This important volume gathers together a selection of articles and essays which represent some of the most interesting discoveries and theories. It gives a flavour of the many different approaches and ideas taken by cognitive psychologists in this fascinating area. Topics covered include: attention, brain systems, object interpolation and completion, object recognition and classification, different types of objects, and information processing and models.

This book provides an introduction to human visual perception suitable for readers studying or working in the fields of computer graphics and visualization, cognitive science, and visual neuroscience. It focuses on how computer graphics images are generated, rather than solely on the organization of the visual system itself; therefore, the text pro

Human knowledge is primarily the product of experiences acquired through interactions of our senses with our surroundings. Of all the senses, vision is the one relied on most heavily by most people for sensory input about the environment. Visual interactions can be divided into three processes: (1) de tection of visual information; (2) recognition of the "external source" of the information; and (3) interpretation of the significance of the information. These processes usually occur sequentially, although there is considerable interdependence among them. With our strong dependence on the processes of visual interactions, we might assume that they are well characterized and understood. Nothing could be further from the truth. Human vision remains an engima, in spite of specu lations by philosophers for centuries, and, more recently, of attention from physicists and cognitive and experimental psychologists. How we see, and how we know what we see, remains an unsolved mystery that challenges some of the most creative scientists and cognitive specialists.

Perception is about the reception, selection, acquisition, transformation and organization of sensory information. This book, originally published in 1976, discusses a number of aspects of human perception within a theoretical framework in which man is considered as a processor of information. The main emphasis is on visual perception with particular reference to looking and pattern recognition; selective listening and speech recognition are also discussed.

If you want to know about the secrets of human perception of the visual system, then this book will help you unravel the secrets of visual information. Answer the questions: what do you see? Why so see and how to manage the process of perception of visual information?In a compact form, the primary processes of sensation at the level of the sensory system, their further perception by the brain are considered.The basic concepts of visual perception of spatial forms and color compositions are described in a fascinating form using author's images. The author uses years of experience teaching the discipline, so the book can be useful for anyone interested in the features of the psychology of visual perception.

Building on the successful formula of the first edition, Martin Tovée offers a concise but detailed account of how the visual system is organised and functions to produce visual perception. He takes his readers from first principles; the structure and function of the eye and what happens when light enters, to how we see and process images, recognise patterns and faces, and through to the most recent discoveries in molecular genetics and brain imaging, and how they have uncovered a host of new advances in our understanding of how visual information is processed within the brain. Incorporating new material throughout, including almost 50 new images, every chapter has been updated to include the latest research, and culminates in helpful key points, which summarise the lessons learnt. This book is an invaluable course text for students within the fields of psychology, neuroscience, biology and physiology.