In the United States alone, the video game industry raked in an astonishing $12.5 billion last year, and shows no signs of slowing. Once dismissed as a fleeting fad of the young and frivolous, this booming industry has not only proven its staying power, but promises to continue driving the future of new media and emerging technologies. Today video games have become a limitless and multifaceted medium through which Fortune 50 corporations and Hollywood visionaries alike are reaching broader global audiences and influencing cultural trends at a rate unmatched by any other media. From Pinball to PlayStation: A History of Video Games traces the growth of a global phenomenon that has become an integral part of popular culture today. All aspects of video games and gaming culture are covered inside this engaging reference, including the leading video game innovators, the technological advances that made the games of the late 1970s and those of today possible, the corporations that won and lost billions of dollars pursing this lucrative market, arcade culture, as well as the demise of free-standing video consoles and the rise of home-based and handheld gaming devices. Narrative chapters explore the ongoing debates surrounding whether video games lead to violence in children and teens-as was the case with the Columbine High School shootings-in addition to other hot-button topics, such as the evolution of adventure games and first-person shooters. Inside readers will discover: DT How video games as a novelty grew into a worldwide multi-billion dollar industry
This book proposes a data-driven methodology using multi-way data analysis for the design of video-quality metrics. It also enables video- quality metrics to be created using arbitrary features. This data- driven design approach not only requires no detailed knowledge of the human visual system, but also allows a proper consideration of the temporal nature of video using a three-way prediction model, corresponding to the three-way structure of video. Using two simple example metrics, the author demonstrates not only that this purely data- driven approach outperforms state-of-the-art video-quality metrics, which are often optimized for specific properties of the human visual system, but also that multi-way data analysis methods outperform the combination of two-way data analysis methods and temporal pooling.
This book discusses computational complexity of High Efficiency Video Coding (HEVC) encoders with coverage extending from the analysis of HEVC compression efficiency and computational complexity to the reduction and scaling of its encoding complexity. After an introduction to the topic and a review of the state-of-the-art research in the field, the authors provide a detailed analysis of the HEVC encoding tools compression efficiency and computational complexity. Readers will benefit from a set of algorithms for scaling the computational complexity of HEVC encoders, all of which take advantage from the flexibility of the frame partitioning structures allowed by the standard. The authors also provide a set of early termination methods based on data mining and machine learning techniques, which are able to reduce the computational complexity required to find the best frame partitioning structures. The applicability of the proposed methods is finally exemplified with an encoding time control system that employs the best complexity reduction and scaling methods presented throughout the book. The methods presented in this book are especially useful in power-constrained, portable multimedia devices to reduce energy consumption and to extend battery life. They can also be applied to portable and non-portable multimedia devices operating in real time with limited computational resources.
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