Models Of Visual Attention Using Computational Cognitive Neuroscience In Machine Vision
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Models Of Visual Attention Using Computational Cognitive Neuroscience In Machine Vision
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Author : Manjunath R Kounte
language : en
Publisher: Lulu Publication
Release Date : 2021-04-28
Models Of Visual Attention Using Computational Cognitive Neuroscience In Machine Vision written by Manjunath R Kounte and has been published by Lulu Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-28 with Art categories.
Vision is the most important of the five human senses, since it provides over 85% of the information our brain receives from the external world. Its main goal is to interpret and to interact with the environments we are living in. In everyday life, humans are capable of perceiving thousands of objects, identifying hundreds of faces, recognizing numerous traffic signs, and appreciating beauty effortlessly. The ease with which humans achieve these tasks is in no way due to the simplicity of the tasks but is a proof of the high degree of development of our vision system.
Visual Attention And Cognition
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Author : W.H. Zangemeister
language : en
Publisher: Elsevier
Release Date : 1996-09-23
Visual Attention And Cognition written by W.H. Zangemeister and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-09-23 with Psychology categories.
The goal of this book is to put together some of the main interdisciplinary aspects that play a role in visual attention and cognition. The book is aimed at researchers and students with interdisciplinary interest. In the first chapter a general discussion of the influential scanpath theory and its implications for human and robot vision is presented. Subsequently, four characteristic aspects of the general theme are dealt with in topical chapters, each of which presents some of the different viewpoints of the various disciplines involved. They cover neuropsychology, clinical neuroscience, modeling, and applications. Each of the chapters opens with a synopsis tying together the individual contributions.
A Computational Perspective On Visual Attention
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Author : John K. Tsotsos
language : en
Publisher: MIT Press
Release Date : 2021-06-22
A Computational Perspective On Visual Attention written by John K. Tsotsos and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-22 with Medical categories.
The derivation, exposition, and justification of the Selective Tuning model of vision and attention. Although William James declared in 1890, "Everyone knows what attention is," today there are many different and sometimes opposing views on the subject. This fragmented theoretical landscape may be because most of the theories and models of attention offer explanations in natural language or in a pictorial manner rather than providing a quantitative and unambiguous statement of the theory. They focus on the manifestations of attention instead of its rationale. In this book, John Tsotsos develops a formal model of visual attention with the goal of providing a theoretical explanation for why humans (and animals) must have the capacity to attend. He takes a unique approach to the theory, using the full breadth of the language of computation—rather than simply the language of mathematics—as the formal means of description. The result, the Selective Tuning model of vision and attention, explains attentive behavior in humans and provides a foundation for building computer systems that see with human-like characteristics. The overarching conclusion is that human vision is based on a general purpose processor that can be dynamically tuned to the task and the scene viewed on a moment-by-moment basis. Tsotsos offers a comprehensive, up-to-date overview of attention theories and models and a full description of the Selective Tuning model, confining the formal elements to two chapters and two appendixes. The text is accompanied by more than 100 illustrations in black and white and color; additional color illustrations and movies are available on the book's Web site.
Selective Visual Attention
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Author : Liming Zhang
language : en
Publisher: John Wiley & Sons
Release Date : 2013-03-15
Selective Visual Attention written by Liming Zhang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-15 with Technology & Engineering categories.
Visual attention is a relatively new area of study combining a number of disciplines: artificial neural networks, artificial intelligence, vision science and psychology. The aim is to build computational models similar to human vision in order to solve tough problems for many potential applications including object recognition, unmanned vehicle navigation, and image and video coding and processing. In this book, the authors provide an up to date and highly applied introduction to the topic of visual attention, aiding researchers in creating powerful computer vision systems. Areas covered include the significance of vision research, psychology and computer vision, existing computational visual attention models, and the authors' contributions on visual attention models, and applications in various image and video processing tasks. This book is geared for graduates students and researchers in neural networks, image processing, machine learning, computer vision, and other areas of biologically inspired model building and applications. The book can also be used by practicing engineers looking for techniques involving the application of image coding, video processing, machine vision and brain-like robots to real-world systems. Other students and researchers with interdisciplinary interests will also find this book appealing. Provides a key knowledge boost to developers of image processing applications Is unique in emphasizing the practical utility of attention mechanisms Includes a number of real-world examples that readers can implement in their own work: robot navigation and object selection image and video quality assessment image and video coding Provides codes for users to apply in practical attentional models and mechanisms
Visual Attention For Robotic Cognition
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Author : Momotaz Begum
language : en
Publisher:
Release Date : 2010
Visual Attention For Robotic Cognition written by Momotaz Begum and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Attention And Performance In Computational Vision
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Author : Lucas Paletta
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-01-21
Attention And Performance In Computational Vision written by Lucas Paletta and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-21 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of the Second International Workshop on Attention and Performance in Computational Vision, WAPCV 2004, held in Prague, Czech Republic in May 2004. The 16 revised full papers presented together with an invited paper were carefully selected during two rounds of reviewing and improvement. The papers are organized in topical sections on attention in object and scene recognition, architectures for sequential attention, biologically plausible models for attention, and applications of attentive vision.
Attention In Cognitive Systems Theories And Systems From An Interdisciplinary Viewpoint
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Author : Lucas Paletta
language : en
Publisher: Springer
Release Date : 2007-12-03
Attention In Cognitive Systems Theories And Systems From An Interdisciplinary Viewpoint written by Lucas Paletta and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-03 with Computers categories.
This volume provides a much-needed interdisciplinary angle on the subject of attention in cognitive systems. It constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Attention in Cognitive Systems, held in Hyderabad, India, in January 2007. The 31 papers are organized in topical sections that cover every aspect of the subject, from the embodiment of attention and its cognitive control, to the applications of attentive vision.
Computational Models For Cognitive Vision
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Author : Hiranmay Ghosh
language : en
Publisher: John Wiley & Sons
Release Date : 2020-07-01
Computational Models For Cognitive Vision written by Hiranmay Ghosh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-01 with Computers categories.
Learn how to apply cognitive principles to the problems of computer vision Computational Models for Cognitive Vision formulates the computational models for the cognitive principles found in biological vision, and applies those models to computer vision tasks. Such principles include perceptual grouping, attention, visual quality and aesthetics, knowledge-based interpretation and learning, to name a few. The author’s ultimate goal is to provide a framework for creation of a machine vision system with the capability and versatility of the human vision. Written by Dr. Hiranmay Ghosh, the book takes readers through the basic principles and the computational models for cognitive vision, Bayesian reasoning for perception and cognition, and other related topics, before establishing the relationship of cognitive vision with the multi-disciplinary field broadly referred to as “artificial intelligence”. The principles are illustrated with diverse application examples in computer vision, such as computational photography, digital heritage and social robots. The author concludes with suggestions for future research and salient observations about the state of the field of cognitive vision. Other topics covered in the book include: · knowledge representation techniques · evolution of cognitive architectures · deep learning approaches for visual cognition Undergraduate students, graduate students, engineers, and researchers interested in cognitive vision will consider this an indispensable and practical resource in the development and study of computer vision.
Visual Saliency Computation
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Author : Jia Li
language : en
Publisher: Springer
Release Date : 2014-04-12
Visual Saliency Computation written by Jia Li and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-12 with Computers categories.
This book covers fundamental principles and computational approaches relevant to visual saliency computation. As an interdisciplinary problem, visual saliency computation is introduced in this book from an innovative perspective that combines both neurobiology and machine learning. The book is also well-structured to address a wide range of readers, from specialists in the field to general readers interested in computer science and cognitive psychology. With this book, a reader can start from the very basic question of "what is visual saliency?" and progressively explore the problems in detecting salient locations, extracting salient objects, learning prior knowledge, evaluating performance, and using saliency in real-world applications. It is highly expected that this book will spark a great interest of research in the related communities in years to come.
Computational Visual Attention Models
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Author : Milind S. Gide
language : en
Publisher:
Release Date : 2017-06-27
Computational Visual Attention Models written by Milind S. Gide and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-27 with Technology & Engineering categories.
The human visual system has evolved to have the ability to selectively focus on the most relevant parts of a visual scene. This mechanism, referred to as visual attention, has been the focus of several neurological and psychological studies in the past few decades. These studies have inspired several computational visual attention models which have been successfully applied to problems in computer vision and robotics. Computational Visual Attention Models provides a comprehensive survey of the state-of-the-art in computational visual attention modeling with a special focus on the latest trends. By reviewing several models published since 2012, the theoretical advantages and disadvantages of each approach are discussed. In addition, existing methodologies to evaluate computational models through the use of eye-tracking data along with the visual attention performance metrics used are described. The shortcomings in existing approaches and approaches to overcome them are also covered. Finally, a subjective evaluation for benchmarking existing visual attention metrics is presented and open problems in visual attention are highlighted. This monograph provides the reader with an in-depth survey of the research conducted to date in computational visual attention models and provides the basis for further research in this exciting area.