This book is open access under a CC BY licence. Recent reductions in public funding for audiovisual products have led to dramatic changes in the industry. The lack of interaction between the industry and capital markets has made sourcing funds for audiovisual products especially difficult. This book explains why the distance between the audiovisual and financial markets exists, and considers the perspective of both audiovisual companies and financial intermediaries. Providing a thorough overview of the audiovisual industry in three major categories (television, cinema and web), it analyses the financing behind each. The author adapts the traditional assessment methods to include exploitation rights, distribution deals and risk determinants ; he also proposes a pricing model for the audiovisual products demonstrating that prices and values in a industry of prototype goods do not depend solely on cost and revenue. The book also includes a methodology for analysing the economics of the sector, the different sales agreements between broadcasters and the distribution deals between distributors and independent producers. Finally, a description of the main financial products for private finance is provided, as well as an explanation of how public funds can act as leverage to catalyze private resources through the use of guarantee funds. In The Economics of the Audiovisual Industry the author suggests that rather than relying on subsidized public support, the audiovisual industry should foster private-public partnerships and market dynamics to promote an alternative funding model based on a profitable and long-lasting connection between the audiovisual and financial markets. The valuation model, both for products and firms, proposed in this book are at the basis of this new approach.

Digital Video Concepts, Methods, and Metrics: Quality, Compression, Performance, and Power Trade-off Analysis is a concise reference for professionals in a wide range of applications and vocations. It focuses on giving the reader mastery over the concepts, methods and metrics of digital video coding, so that readers have sufficient understanding to choose and tune coding parameters for optimum results that would suit their particular needs for quality, compression, speed and power. The practical aspects are many: Uploading video to the Internet is only the beginning of a trend where a consumer controls video quality and speed by trading off various other factors. Open source and proprietary applications such as video e-mail, private party content generation, editing and archiving, and cloud asset management would give further control to the end-user. Digital video is frequently compressed and coded for easier storage and transmission. This process involves visual quality loss due to typical data compression techniques and requires use of high performance computing systems. A careful balance between the amount of compression, the visual quality loss and the coding speed is necessary to keep the total system cost down, while delivering a good user experience for various video applications. At the same time, power consumption optimizations are also essential to get the job done on inexpensive consumer platforms. Trade-offs can be made among these factors, and relevant considerations are particularly important in resource-constrained low power devices. To better understand the trade-offs this book discusses a comprehensive set of engineering principles, strategies, methods and metrics. It also exposes readers to approaches on how to differentiate and rank video coding solutions.

The conventional approach to risk communication, based on a centralized and controlled model, has led to blatant failures in the management of recent safety related events. In parallel, several cases have proved that actors not thought of as risk governance or safety management contributors may play a positive role regarding safety. Building on these two observations and bridging the gap between risk communication and safety practices leads to a new, more societal perspective on risk communication, that allows for smart risk governance and safety management.

This open access book introduces a general framework that allows natural language researchers to enhance existing competence theories with fully specified performance and processing components. Gradually developing increasingly complex and cognitively realistic competence-performance models, it provides running code for these models and shows how to fit them to real-time experimental data. This computational cognitive modeling approach opens up exciting new directions for research in formal semantics, and linguistics more generally, and offers new ways of (re)connecting semantics and the broader field of cognitive science. The approach of this book is novel in more ways than one. Assuming the mental architecture and procedural modalities of Anderson’s ACT-R framework, it presents fine-grained computational models of human language processing tasks which make detailed quantitative predictions that can be checked against the results of self-paced reading and other psycho-linguistic experiments. All models are presented as computer programs that readers can run on their own computer and on inputs of their choice, thereby learning to design, program and run their own models. But even for readers who won't do all that, the book will show how such detailed, quantitatively predicting modeling of linguistic processes is possible. A methodological breakthrough and a must for anyone concerned about the future of linguistics! (Hans Kamp) This book constitutes a major step forward in linguistics and psycholinguistics. It constitutes a unique synthesis of several different research traditions: computational models of psycholinguistic processes, and formal models of semantics and discourse processing. The work also introduces a sophisticated python-based software environment for modeling linguistic processes. This book has the potential to revolutionize not only formal models of linguistics, but also models of language processing more generally. (Shravan Vasishth)