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Perception of Pixelated Images covers the increasing use of these images in everyday life as communication, socialization, and commerce increasingly rely on technology. The literature in this book is dispersed across a wide group of disciplines, from perception and psychology to neuroscience, computer science, engineering, and consumer science. The book summarizes the research to date, answering such questions as, What are the spatial and temporal limits of perceptual discrimination of pixelated images?, What are the optimal conditions for maximizing information extracted from pixelated images?, and How does the method of pixelation compromise or assist perception? - Integrates research from psychology, neuroscience, computer science, and engineering - Explains how the process of perception works for pixelated images - Identifies what assists and hinders perception, including the method of pixelation - Discusses the limits of perception of pixelated images
In Perception: First Form of Mind, Tyler Burge develops an understanding of the most primitive type of mental representational: perception. Focusing on the functions and capacities of perceptual states, Burge accounts for their representational content and structure, and develops a formal semantics for them. The discussion explains the role of iconic format in the structure. It also situates the accounts of content, structure, and semantics within scientific explanations of perceptual-state formation, emphasizing formation of perceptual categorization. In the book's second half, Burge discusses what a perceptual system is. Exploration of relations between perception and other primitive capacities-conation, attention, memory, anticipation, affect, learning, and imagining-helps distinguish perceiving, with its associated capacities, from thinking, with its associated capacities. Drawing mainly on vision science, not introspection, Perception: First Form of Mind is a rigorous, agenda-setting work in philosophy of perception and philosophy of science.
This second edition of the fully revised and updated From Photon to Pixel presents essential elements in modern digital photographic devices. Our universal infatuation with photography profoundly affects its usage and development. While some sides of photographic “culture” remain wholly unchanged – art photography, journalistic and advertising photography, scientific photography, etc. – new facets emerge: leisure or travel photography, everyday life photography, anecdotal, observational or unusual photography, and microcosm, or micro-community, photography with its culmination in the narcissistic selfie. These new forms combine an often simplified manner of photographing and modern means of instantaneous, remote and mass communication. This book does not extend into the sociological study of photography, instead it explains how the digital camera works by examining in detail each of the components that constitutes it to provide the reader with a preliminary guide into the inner workings of this device.
In today's digital age, the rapid advancement of AI and digital technologies has led to the emergence of digital consciousness, blurring the lines between human and machine thinking. At the same time, these technologies offer unprecedented convenience and efficiency but pose significant challenges. Individuals are increasingly facing issues such as stress, anxiety, and technology addiction, impacting their overall well-being and decision-making processes. The dichotomy between digital consciousness and human consciousness raises critical questions about how we can navigate these challenges in a rapidly evolving technological landscape. To address these pressing concerns, Comparative Analysis of Digital Consciousness and Human Consciousness: Bridging the Divide in AI Discourse offers a comprehensive exploration of the impacts of digital consciousness on human well-being and decision-making. This book delves into the paradoxes and challenges posed by the coexistence of digital and human consciousness, providing insights from psychological perspectives, practitioner experiences, and academic research. By offering a nuanced understanding of these concepts, we aim to equip readers with the knowledge and tools needed to manage the implications of digital consciousness in their personal and professional lives.
Ecomedia: Key Issues is a comprehensive textbook introducing the burgeoning field of ecomedia studies to provide an overview of the interface between environmental issues and the media globally. Linking the world of media production, distribution, and consumption to environmental understandings, the book addresses ecological meanings encoded in media texts, the environmental impacts of media production, and the relationships between media and cultural perceptions of the environment. Each chapter introduces a distinct type of media, addressing it in a theoretical overview before engaging with specific case studies. In this way, the book provides an accessible introduction to each form of media as well as a sophisticated analysis of relevant cases. The book includes contributions from a combination of new voices and well-established media scholars from across the globe who examine the basic concepts and key issues of ecomedia studies. The concepts of "frames," "flow", and "convergence" structure a dynamic collection divided into three parts. The first part addresses traditional visual texts, such as comics, photography, and film. The second part of the book addresses traditional broadcast media, such as radio, and television, and the third part looks at new media, such as advertising, video games, the internet, and digital renderings of scientific data. In its breadth and scope, Ecomedia: Key Issues presents a unique survey of rich scholarship at the confluence of Media Studies and Environmental Studies. The book is written in an engaging and accessible style, with each chapter including case studies, discussion questions and suggestions for further reading.
This book deals with selected problems of machine perception, using various 2D and 3D imaging sensors. It proposes several new original methods, and also provides a detailed state-of-the-art overview of existing techniques for automated, multi-level interpretation of the observed static or dynamic environment. To ensure a sound theoretical basis of the new models, the surveys and algorithmic developments are performed in well-established Bayesian frameworks. Low level scene understanding functions are formulated as various image segmentation problems, where the advantages of probabilistic inference techniques such as Markov Random Fields (MRF) or Mixed Markov Models are considered. For the object level scene analysis, the book mainly relies on the literature of Marked Point Process (MPP) approaches, which consider strong geometric and prior interaction constraints in object population modeling. In particular, key developments are introduced in the spatial hierarchical decomposition of the observed scenarios, and in the temporal extension of complex MRF and MPP models. Apart from utilizing conventional optical sensors, case studies are provided on passive radar (ISAR) and Lidar-based Bayesian environment perception tasks. It is shown, via several experiments, that the proposed contributions embedded into a strict mathematical toolkit can significantly improve the results in real world 2D/3D test images and videos, for applications in video surveillance, smart city monitoring, autonomous driving, remote sensing, and optical industrial inspection.
Image and Video Processing is an active area of research due to its potential applications for solving real-world problems. Integrating computational intelligence to analyze and interpret information from image and video technologies is an essential step to processing and applying multimedia data. Emerging Technologies in Intelligent Applications for Image and Video Processing presents the most current research relating to multimedia technologies including video and image restoration and enhancement as well as algorithms used for image and video compression, indexing and retrieval processes, and security concerns. Featuring insight from researchers from around the world, this publication is designed for use by engineers, IT specialists, researchers, and graduate level students.
The two-volume set CCIS 1712 and 1713 constitutes the proceedings of the 21st Asian Simulation Conference, AsiaSim 2022, which took place in Changsha, China, in January 2023. Due to the Covid pandemic AsiaSim 2022 has been postponed to January 2023. The 97 papers presented in the proceedings were carefully reviewed and selected from 218 submissions. The contributions were organized in topical sections as follows: Modeling theory and methodology; Continuous system/discrete event system/hybrid system/intelligent system modeling and simulation; Complex systems and open, complex and giant systems modeling and simulation; Integrated natural environment and virtual reality environment modeling and simulation; Networked Modeling and Simulation; Flight simulation, simulator, simulation support environment, simulation standard and simulation system construction; High performance computing, parallel computing, pervasive computing, embedded computing and simulation; CAD/CAE/CAM/CIMS/VP/VM/VR/SBA; Big data challenges and requirements for simulation and knowledge services of big data ecosystem; Artificial intelligence for simulation; Application of modeling/simulation in science/engineering/society/economy /management/energy/transportation/life/biology/medicine etc; Application of modeling/simulation in energy saving/emission reduction, public safety, disaster prevention/mitigation; Modeling/simulation applications in the military field; Modeling/simulation applications in education and training; Modeling/simulation applications in entertainment and sports.
Adaptive image processing is one of the most important techniques in visual information processing, especially in early vision such as image restoration, filtering, enhancement, and segmentation. While existing books present some important aspects of the issue, there is not a single book that treats this problem from a viewpoint that is directly li