This volume critically analyzes the multiple lives of the "gamer" in India. It explores the "everyday" of the gaming life from the player's perspective, not just to understand how the games are consumed but also to analyze how the gamer influences the products' many (virtual) lives. Using an intensive ethnographic approach and in-depth interviews, this volume situates the practice of gaming under a broader umbrella of digital leisure activities and foregrounds the proliferation of gaming as a new media form and cultural artifact; critically questions the term gamer and the many debates surrounding the gamer tag to expand on how the gaming identity is constructed and expressed; details participants' gaming habits, practices and contexts from a cultural perspective and analyzes the participants' responses to emerging industry trends, reflections on playing practices and their relationships to friends, communities and networks in gaming spaces; and examines the offline and online spaces of gaming as sites of contestation between developers of games and the players. A holistic study covering one of the largest video game bases in the world, this volume will be of great interest to scholars and researchers of cultural studies, media and communication studies and science and technology studies, as well as be of great appeal to the general reader.

This volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI'18), which was held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention in Granada, Spain on September 20, 2018. It presents the latest developments in the highly active and rapidly growing field of diffusion MRI. The reader will find papers on a broad range of topics, from the mathematical foundations of the diffusion process and signal generation, to new computational methods and estimation techniques for the in-vivo recovery of microstructural and connectivity features, as well as harmonisation and frontline applications in research and clinical practice. The respective papers constitute invited works from high-profile researchers with a specific focus on three topics that are now gaining momentum within the diffusion MRI community: i) machine learning for diffusion MRI; ii) diffusion MRI outside the brain (e.g. in the placenta); and iii) diffusion MRI for multimodal imaging. The book shares new perspectives on the latest research challenges for those currently working in the field, but also offers a valuable starting point for anyone interested in learning computational techniques in diffusion MRI. It includes rigorous mathematical derivations, a wealth of full-colour visualisations, and clinically relevant results. As such, it will be of interest to researchers and practitioners in the fields of computer science, MRI physics and applied mathematics alike.

This edited collection considers various meanings of the "Spotification" of music and other media. Specifically, it replies to the editor's call to address the changes in media cultures and industries accompanying the transition to streaming media and media services. Streaming media services have become part of daily life all over the world, with Spotify, in particular, inheriting and reconfiguring characteristics of older ways of publishing, distributing, and consuming media. The contributors look to the broader community of music, media, and cultural researchers to spell out some of the implications of the Spotification of music and popular culture. These include changes in personal media consumption and production, educational processes, and the work of media industries. Interdisciplinary scholarship on commercial digital distribution is needed more than ever to illuminate the qualitative changes to production, distribution, and consumption accompanying streaming music and television. This book represents the latest research and theory on the conversion of mass markets for recorded music to streaming services.

Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth of the research conducted over the years in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. It explores applications of statistical signal processing to hyperspectral imaging and further develops non-literal (spectral) techniques for subpixel detection and mixed pixel classification. This text is the first of its kind on the topic and can be considered a recipe book offering various techniques for hyperspectral data exploitation. In particular, some known techniques, such as OSP (Orthogonal Subspace Projection) and CEM (Constrained Energy Minimization) that were previously developed in the RSSIPL, are discussed in great detail. This book is self-contained and can serve as a valuable and useful reference for researchers in academia and practitioners in government and industry.

This volume comprises six well-versed contributed chapters devoted to report the latest fi ndings on the applications of machine learning for big data analytics. Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. The possible challenges in this direction include capture, storage, analysis, data curation, search, sharing, transfer, visualization, querying, updating and information privacy. Big data analytics is the process of examining large and varied data sets - i.e., big data - to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering. THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent research.

Information Visualization in the Era of Innovative Journalism brings together over 30 authors from countries around the world to synthesize how recent technological innovations have impacted the development, practice and consumption of contemporary journalism. As technology rapidly progresses, shifts, and innovates, there have been immense changes in the way we communicate. This book collects research from around the world that takes an in-depth look at the primary transformations related to journalistic innovation in recent times. High-profile contributors provide cutting-edge scholarship on innovation in journalism as it relates to emergent topics such as virtual reality, podcasting, multimedia infographics, social media, mobile storytelling and others. The book pays special attention to the development of information visualization and the ability of recent innovations to meet audience needs and desires. Students and scholars studying contemporary journalism history and practice will find this a vital and up-to-date resource, as well as those studying communication technology as it relates to marketing, PR or mass media broadly.

This much-needed text brings the treatment of optical pattern recognition up-to-date in one comprehensive resource. Optical pattern recognition, one of the first implementations of Fourier Optics, is now widely used, and this text provides an accessible introduction for readers who wish to get to grips with how holography is applied in a practical context. A wide range of devices are addressed from a user perspective and are accompanied with detailed tables enabling performance comparison, in addition to chapters exploring computer-generated holograms, optical correlator systems, and pattern matching algorithms. This book will appeal to both lecturers and research scientists in the field of electro-optic devices and systems. Features: Covers a range of new developments, including computer-generated holography and 3D image recognition Accessible without a range of prior knowledge, providing a clear exposition of technically difficult concepts Contains extensive examples throughout to reinforce learning

Automatic biometrics recognition techniques are increasingly important in corporate and public security systems and have increased in methods due to rapid field development. This book discusses classic behavioral biometrics as well as collects the latest advances in techniques, theoretical approaches, and dynamic applications. This future-looking book is an important reference tool for researchers, practitioners, academicians, and technologists. While there are existing books that focus on physiological biometrics or algorithmic approaches deployed in biometrics, this book addresses a gap in the existing literature for a text that is solely dedicated to the topic of behavioral biometrics.

Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing shows you how robust subspace learning and tracking by decomposition into low-rank and sparse matrices provide a suitable framework for computer vision applications. Incorporating both existing and new ideas, the book conveniently gives you one-stop access to a number of different decompositions, algorithms, implementations, and benchmarking techniques. Divided into five parts, the book begins with an overall introduction to robust principal component analysis (PCA) via decomposition into low-rank and sparse matrices. The second part addresses robust matrix factorization/completion problems while the third part focuses on robust online subspace estimation, learning, and tracking. Covering applications in image and video processing, the fourth part discusses image analysis, image denoising, motion saliency detection, video coding, key frame extraction, and hyperspectral video processing. The final part presents resources and applications in background/foreground separation for video surveillance. With contributions from leading teams around the world, this handbook provides a complete overview of the concepts, theories, algorithms, and applications related to robust low-rank and sparse matrix decompositions. It is designed for researchers, developers, and graduate students in computer vision, image and video processing, real-time architecture, machine learning, and data mining.

Remote sensing of impervious surfaces has matured using advances in geospatial technology so recent that its applications have received only sporadic coverage in remote sensing literature. Remote Sensing of Impervious Surfaces is the first to focus entirely on this developing field. It provides detailed coverage of mapping, data extraction, and modeling techniques specific to analyzing impervious surfaces, such as roads and buildings. Written by renowned experts in the field, this book reviews the major approaches that apply to this emerging field as well as current challenges, developments, and trends. The authors introduce remote sensing digital image processing techniques for estimating and mapping impervious surfaces in urban and rural areas. Presenting the latest modeling tools and algorithms for data extraction and analysis, the book explains how to differentiate roads, roofs, and other manmade structures from remotely sensed images for individual analysis. The final chapters examine how to use impervious surface data for predicting the flow of storm- or floodwater and studying trends in population, land use, resource distribution, and other real-world applications in environmental, urban, and regional planning. Each chapter offers a consistent format including a concise review of basic concepts and methodologies, timely case studies, and guidance for solving problems and analyzing data using the techniques presented.

Medical image analysis using advanced fuzzy set theoretic techniques is an exciting and dynamic branch of image processing. Since the introduction of fuzzy set theory, there has been an explosion of interest in advanced fuzzy set theories-such as intuitionistic fuzzy and Type II fuzzy set-that represent uncertainty in a better way. Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques deals with the application of intuitionistic fuzzy and Type II fuzzy set theories for medical image analysis. Designed for graduate and doctorate students, this higher-level text: Provides a brief introduction to advanced fuzzy set theory, fuzzy/intuitionistic fuzzy aggregation operators, and distance/similarity measures Covers medical image enhancement using advanced fuzzy sets, including MATLAB (R)-based examples to increase contrast of the images Describes intuitionistic fuzzy and Type II fuzzy thresholding techniques that separate different regions/leukocyte types/abnormal lesions Demonstrates the clustering of unwanted lesions/regions even in the presence of noise by applying intuitionistic fuzzy clustering Highlights the edges of poorly illuminated images and uses intuitionistic fuzzy edge detection to find the edges of different regions Defines fuzzy mathematical morphology and explores its application using the Lukasiewicz operator, t-norms, and t-conorms Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques is useful not only for students, but also for teachers, engineers, scientists, and those interested in the field of medical image analysis. A basic knowledge of fuzzy set is required, along with a solid understanding of mathematics and image processing.

Producing New and Digital Media is your essential guide to understanding new media, taking a deep dive into such topics as the cultural and social impacts of the web, the importance of digital literacy, and creating in an online environment. This cutting edge text provides an introductory, hands-on approach to creating user-generated content, coding, cultivating an online brand, and storytelling in new and digital media. In showing you how to navigate the world of digital media and complete digital tasks, this book not only teaches you how to use the web, but also helps you understand why you use it. Key features for the second edition include: Coverage of up-to-date forms of communication on the web: memes, viral videos, social media, and more pervasive types of online languages. New chapters on YouTube influencers and on-demand subscription television. Each chapter has media literacy sidebars, sample assignments, and activities. Updates to the companion website additional materials for students and instructors Thoughtful, entertaining, and enlightening, this is the fundamental textbook for students of new and digital media, digital culture and media literacy, as well as a useful resource for anyone wanting to understand and develop their presence in our digital world.

With its unique focus on video game engines, the data-driven architectures of game development and play, this innovative textbook examines the impact of software on everyday life and explores the rise of engine-driven culture. Through a series of case studies, Eric Freedman lays out a clear methodology for studying the game development pipeline, and uses the video game engine as a pathway for media scholars and practitioners to navigate the complex terrain of software practice. Examining several distinct software ecosystems that include the proprietary efforts of Amazon, Apple, Capcom, Epic Games and Unity Technologies, and the unique ways that game engines are used in non-game industries, Freedman illustrates why engines matter. The studies bind together designers and players, speak to the labors of the game industry, value the work of both global and regional developers, and establish critical connection points between software and society. Freedman has crafted a much-needed entry point for students new to code, and a research resource for scholars and teachers working in media industries, game development and new media.

Reimagining Communication: Mediation explores information and media technologies across a variety of contemporary platforms, uses, content variations, audiences, and professional roles. A diverse body of contributions in this unique interdisciplinary resource offers perspectives on digital games, social media, photography, and more. The volume is organized to reflect a pedagogical approach of carefully laddered and sequenced topics, which supports experiential, project-based learning in addition to a course's traditional writing requirements. As the field of Communication Studies has been continuously growing and reaching new horizons, this volume synthesizes the complex relationship of communication to media technologies and its forms in a uniquely accessible and engaging way. This is an essential introductory text for advanced undergraduate and graduate students and scholars of communication, broadcast media, and interactive technologies, with an interdisciplinary focus and an emphasis on the integration of new technologies.

Reimagining Communication: Mediation explores information and media technologies across a variety of contemporary platforms, uses, content variations, audiences, and professional roles. A diverse body of contributions in this unique interdisciplinary resource offers perspectives on digital games, social media, photography, and more. The volume is organized to reflect a pedagogical approach of carefully laddered and sequenced topics, which supports experiential, project-based learning in addition to a course's traditional writing requirements. As the field of Communication Studies has been continuously growing and reaching new horizons, this volume synthesizes the complex relationship of communication to media technologies and its forms in a uniquely accessible and engaging way. This is an essential introductory text for advanced undergraduate and graduate students and scholars of communication, broadcast media, and interactive technologies, with an interdisciplinary focus and an emphasis on the integration of new technologies.

This book provides a comprehensive understanding of the technology architecture, physical facility changes and - most importantly - the new media management workflows and business processes to support the entire lifecycle of the IP broadcast facility from an engineering and workflow perspective. Fully updated, this second edition covers the technological evolutions and changes in the media broadcast industry, including the new standards and specifications for live IP production, the SMPTE ST2110 suite of standards, the necessity of protecting against cyber threats and the expansion of cloud services in opening new possibilities. It provides users with the necessary information for planning, organizing, producing and distributing media for the modern broadcast facility. Key features of this text include: Strategies to implement a cost-effective live and file-based production and distribution system. A cohesive, big-picture viewpoint that helps you identify how to overcome the challenges of upgrading your plant. The impact live production is having on the evolution to IP. Case studies serve as recommendations and examples of use. New considerations in engineering and maintenance of IP and file-based systems. Those in the fields of TV, cable, IT engineering and broadcast engineering will find this book an invaluable resource, as will students learning how to set up modern broadcast facilities and the workflows of contemporary broadcasting.

This book provides insights into the benefits of using remote sensing data from a geoscientist's perspective, by integrating the data with the understanding of Earth's surface and subsurface. In 3 sections, the book takes a detailed look at what data explorationists use when they explore for hydrocarbon resources, assess different terrain types for planning and hazards and extract present-day geologic analogs for subsurface geologic settings. The book presents the usage of remote sensing data in exploration in a structured way by detecting individual geologic features as building blocks for complex geologic systems. This concept enables readers to build their own workflows for the assessment of complex geologic systems using various combinations of remote sensing data. Section 1 introduces readers to the foundations of remote sensing for exploration, covers various methods of image processing and studies different digital elevation and bathymetry models. Section 2 presents the concept of geomorphology as a means to integrate surface and subsurface data. Different aspects of rendering in 2D and 3D are explained and used for the interpretation and extraction of geologic features that are used in exploration. Section 3 addresses remote sensing for hydrocarbon exploration in detail, from geophysical data acquisition to development and infrastructure planning. The organization of this chapter follows an exploration workflow from regional to local modeling studying basin and petroleum system modeling as well as logistics planning of seismic surveys and near-surface modeling. Aspects of field development and infrastructure planning comprise multi-temporal and dynamic modeling. The section closes with a structured approach to extracting geologic analogs from interpreted remote sensing data. The book will be of interest to professionals and students working in exploration for hydrocarbons and water resources, as well as geoscientists and engineers using remote sensing for infrastructure planning, hazard assessment and dynamic environmental studies.

This book lays out all the latest research in the area of multimedia data hiding. The book introduces multimedia signal processing and information hiding techniques. It includes multimedia representation, digital watermarking fundamentals and requirements of watermarking. It moves on to cover the recent advances in multimedia signal processing, before presenting information hiding techniques including steganography, secret sharing and watermarking. The final part of this book includes practical applications of intelligent multimedia signal processing and data hiding systems.

This book presents works detailing the application of processing and visualization techniques for analyzing the Earth's subsurface. The topic of the book is interactive data processing and interactive 3D visualization techniques used on subsurface data. Interactive processing of data together with interactive visualization is a powerful combination which has in the recent years become possible due to hardware and algorithm advances in. The combination enables the user to perform interactive exploration and filtering of datasets while simultaneously visualizing the results so that insights can be made immediately. This makes it possible to quickly form hypotheses and draw conclusions. Case studies from the geosciences are not as often presented in the scientific visualization and computer graphics community as e.g., studies on medical, biological or chemical data. This book will give researchers in the field of visualization and computer graphics valuable insight into the open visualization challenges in the geosciences, and how certain problems are currently solved using domain specific processing and visualization techniques. Conversely, readers from the geosciences will gain valuable insight into relevant visualization and interactive processing techniques. Subsurface data has interesting characteristics such as its solid nature, large range of scales and high degree of uncertainty, which makes it challenging to visualize with standard methods. It is also noteworthy that parallel fields of research have taken place in geosciences and in computer graphics, with different terminology when it comes to representing geometry, describing terrains, interpolating data and (example-based) synthesis of data. The domains covered in this book are geology, digital terrains, seismic data, reservoir visualization and CO2 storage. The technologies covered are 3D visualization, visualization of large datasets, 3D modelling, machine learning, virtual reality, seismic interpretation and multidisciplinary collaboration. People within any of these domains and technologies are potential readers of the book.

Goals of the Book Overthelast thirty yearsthere has been arevolutionindiagnostic radiology as a result oftheemergenceofcomputerized tomography (CT), which is the process of obtaining the density distribution within the human body from multiple x-ray projections. Since an enormous variety of possible density values may occur in the body, a large number of projections are necessary to ensure the accurate reconstruction oftheir distribution. There are other situations in which we desire to reconstruct an object from its projections, but in which we know that the object to be recon structed has only a small number of possible values. For example, a large fraction of objects scanned in industrial CT (for the purpose of nonde structive testing or reverse engineering) are made of a single material and so the ideal reconstruction should contain only two values: zero for air and the value associated with the material composing the object. Similar as sumptions may even be made for some specific medical applications; for example, in angiography ofthe heart chambers the value is either zero (in dicating the absence of dye) or the value associated with the dye in the chamber. Another example arises in the electron microscopy of biological macromolecules, where we may assume that the object to be reconstructed is composed of ice, protein, and RNA. One can also apply electron mi croscopy to determine the presenceor absence ofatoms in crystallinestruc tures, which is again a two-valued situation."

Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Furthermore, the increasing amount of data in recent science, industry and business applications, calls to the requirement of more complex tools to analyze it. Thanks to data preprocessing, it is possible to convert the impossible into possible, adapting the data to fulfill the input demands of each data mining algorithm. Data preprocessing includes the data reduction techniques, which aim at reducing the complexity of the data, detecting or removing irrelevant and noisy elements from the data. This book is intended to review the tasks that fill the gap between the data acquisition from the source and the data mining process. A comprehensive look from a practical point of view, including basic concepts and surveying the techniques proposed in the specialized literature, is given.Each chapter is a stand-alone guide to a particular data preprocessing topic, from basic concepts and detailed descriptions of classical algorithms, to an incursion of an exhaustive catalog of recent developments. The in-depth technical descriptions make this book suitable for technical professionals, researchers, senior undergraduate and graduate students in data science, computer science and engineering.

This book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning. Multiview Learning has been proved to have good theoretical underpinnings and great practical success. This book describes the models and algorithms of multiview learning in real data analysis. Incorporating multiple views to improve the generalization performance, multiview learning is also known as data fusion or data integration from multiple feature sets. This self-contained book is applicable for multi-modal learning research, and requires minimal prior knowledge of the basic concepts in the field. It is also a valuable reference resource for researchers working in the field of machine learning and also those in various application domains.

Learn video compositing, motion graphics design, and animation using Adobe After Effects Adobe After Effects Classroom in a Book (2023 release) uses real-world, project-based learning to cover the basics and beyond, providing countless tips and techniques to help you become more productive with the program. For beginners and experienced users alike, you can follow the book from start to finish or choose only those lessons that interest you. Learn to: Create, manipulate, and optimize motion graphics for film, video, the web, and mobile devices Animate text and images, customize a wide range of effects, track and sync content, rotoscope, manipulate timing, correct color, and remove unwanted objects Customize cameras and lighting to create compelling 3D content Design Motion Graphics templates for editing in Adobe Premiere Pro Deform and animate objects and video using robust Puppet tools Classroom in a Book (R), the best-selling series of hands-on software training workbooks, offers what no other book or training program does-an official training series from Adobe, developed with the support of Adobe product experts. Purchasing this book includes valuable online extras. Follow the instructions in the book's "Getting Started" section to unlock access to: Downloadable lesson files you need to work through the projects in the book Web Edition containing the complete text of the book, interactive quizzes, and videos that walk you through the lessons step by step What you need to use this book: Adobe After Effects (2023 release) software, for either Windows or macOS. (Software not included.) Note: Classroom in a Book does not replace the documentation, support, updates, or any other benefits of being a registered owner of Adobe After Effects software.

For a long time, various different lobbying sectors have claimed that the use of video technology is an effective aid in decision-making. Now the IFAB has taken a historic step in the approval of experiments on the use of video to provide support to football refereeing. The Use of Video Technologies in Refereeing Football and Other Sports analyses the capacity of audio-visual technology from different perspectives to help understand the best implementation of the Video Assistant Referee (VAR) system in football and, more generally, in other sports. This book addresses in-depth interdisciplinary viewpoints on the need and the opportunity of the implementation procedures regarding how to use it, considering that it could lead to very important changes. The book goes on to examine various approaches to the most interesting topics for players, amateurs, coaches, referees and referees coaches. Offering viewpoints from both academics and professionals, this new volume addresses the VAR issue in a multidisciplinary way, analysing the implications of video replay application in football from the perspective of players, coaches, television professionals, referees, amateurs, sports lawyers, media and educators.

Cybernetic-Existentialism: Freedom, Systems, and Being-for-Others in Contemporary Arts and Performance offers a unique discourse and an original aesthetic theory. It argues that fusing perspectives from the philosophy of Existentialism with insights from the 'universal science' of cybernetics provides a new analytical lens and deconstructive methodology to critique art. In this study, Steve Dixon examines how a range of artists' works reveal the ideas of Existentialist philosophers including Kierkegaard, Camus, de Beauvoir, and Sartre on freedom, being and nothingness, eternal recurrence, the absurd, and being-for-others. Simultaneously, these artworks are shown to engage in complex explorations of concepts proposed by cyberneticians including Wiener, Shannon, and Bateson on information theory and 'noise', feedback loops, circularity, adaptive ecosystems, autopoiesis, and emergence. Dixon's groundbreaking book demonstrates how fusing insights and knowledge from these two fields can throw new light on pressing issues within contemporary arts and culture, including authenticity, angst and alienation, homeostasis, radical politics, and the human as system.