High Level Vision

Shimon Ullman focuses on the processes of high-level vision that deal with the interpretation and use of what is seen in the image. In this book, Shimon Ullman focuses on the processes of high-level vision that deal with the interpretation and use of what is seen in the image. In particular, he examines two major problems. The first, object recognition and classification, involves recognizing objects despite large variations in appearance caused by changes in viewing position, illumination, occlusion, and object shape. The second, visual cognition, involves the extraction of shape properties and spatial relations in the course of performing visual tasks such as object manipulation, planning movements in the environment, or interpreting graphical material such as diagrams, graphs and maps. The book first takes up object recognition and develops a novel approach to the recognition of three-dimensional objects. It then studies a number of related issues in high-level vision, including object classification, scene segmentation, and visual cognition. Using computational considerations discussed throughout the book, along with psychophysical and biological data, the final chapter proposes a model for the general flow of information in the visual cortex. Understanding vision is a key problem in the brain sciences, human cognition, and artificial intelligence. Because of the interdisciplinary nature of the theories developed in this work, High-Level Vision will be of interest to readers in all three of these fields.

This book provides a state-of-the-art review of high-level vision and the brain. Topics covered include object representation and recognition, category-specific visual knowledge, perceptual processes in reading, top-down processes in vision -- including attention and mental imagery -- and the relations between vision and conscious awareness. Each chapter includes a tutorial overview emphasizing the current state of knowledge and outstanding theoretical issues in the authors' area of research, along with a more in-depth report of an illustrative research project in the same area. The editors and contributors to this volume are among the most respected figures in the field of neuropsychology and perception, making the work presented here a standard-setting text and reference in that area.

This book focuses on the challenges and the recent findings in vision intelligence incorporating high performance computing applications. The contents provide in-depth discussions on a range of emerging multidisciplinary topics like computer vision, image processing, artificial intelligence, machine learning, cloud computing, IoT, and big data. The book also includes illustrations of algorithms, architecture, applications, software systems, and data analytics within the scope of the discussed topics. This book will help students, researchers, and technology professionals discover latest trends in the fields of computer vision and artificial intelligence.

This book provides a state-of-the-art review of high-level vision and the brain. Topics covered include object representation and recognition, category-specific visual knowledge, perceptual processes in reading, top-down processes in vision -- including attention and mental imagery -- and the relations between vision and conscious awareness. Each chapter includes a tutorial overview emphasizing the current state of knowledge and outstanding theoretical issues in the authors' area of research, along with a more in-depth report of an illustrative research project in the same area. The editors and contributors to this volume are among the most respected figures in the field of neuropsychology and perception, making the work presented here a standard-setting text and reference in that area.

Why do millions of tech startups fail every year? Despite having a good product, customers, and even help from accelerator and seed programs, many new tech companies simply don't succeed. What's missing? Operational structure.The Vision to Value Framework is an operational model designed to help tech organizations scale growth in a sustainable and profitable way. The book introduces the model, its scope, and its impact on organizations. Vision to Value compiles the experience and strategy of tech entrepreneur and startup co-founder Luis Gomes de Abreu in his journey to scaling Amsterdam-based Nmbrs, and the organization's 10-year journey of growth. With a focus on building mindset, strategy, and formal structure to support increasing operations, the book works to bridge the gap between startup and a scaled organization. Featuring theoretical as well as practical information, the Vision to Value lays the foundations for designing an organization around agility, scalability, and delivering value to the end-user. Strategy, tips, and ideas function to guide leaders in technical operations towards setting up product development structure, customer support, developing business processes, and organizing teams, while highlighting many of the issues contributing to organizational failure, and some approaches to solving them. Most importantly, Vision to Value focuses on designing structure, organizing teams, and creating an operational model designed to support growth - so that anyone can realize those ideas inside their own organization.

"Neurobiology of Cognition and Behavior" is one of the initial textbooks of brain mapping in the field of cognitive neuroscience. This well-researched text by a leading expert in the field provides a foundational map of the human brain for cognition and behavior. This comprehensive map of essential human thinking and emotion is based on the explosion in the field of functional neuroimaging studies (fMRI, PET) in the normally functioning human brain. The approach of this text is to confirm the association of these brain regions by verifying that damage to the activated brain area results in a consistent deficit in the cognitive/behavioral operation under investigation. The approach used to form this view of mapping brain and cognition is based on cognitive neuroscience principles of defining dissociable, fine-grained cognitive units and associating these units with brain regions encoding for these units or aspects of the units from both functional imaging and lesion studies. These cognitive-brain relationships are incorporated into clinical syndromes to account for the behavior of these patients after a lesion occurs, with the added feature of presenting patient videos demonstrating the disrupted cognitive behaviors. This comprehensive textbook provides a framework of the basic architecture of cognition in the brain with this combination of activation and lesion study confirmation of the brain-behavior associations. This basic framework is useful for those students studying the interaction of cognitive science and neuroanatomy as well as being relevant to the experienced neuroscientist researcher or clinician.

This book presents a thorough overview of fusion in computer vision, from an interdisciplinary and multi-application viewpoint, describing successful approaches, evaluated in the context of international benchmarks that model realistic use cases. Features: examines late fusion approaches for concept recognition in images and videos; describes the interpretation of visual content by incorporating models of the human visual system with content understanding methods; investigates the fusion of multi-modal features of different semantic levels, as well as results of semantic concept detections, for example-based event recognition in video; proposes rotation-based ensemble classifiers for high-dimensional data, which encourage both individual accuracy and diversity within the ensemble; reviews application-focused strategies of fusion in video surveillance, biomedical information retrieval, and content detection in movies; discusses the modeling of mechanisms of human interpretation of complex visual content.