Screen Digest


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Digital Copyright


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Professor Litman's work stands out as well-researched, doctrinally solid, and always piercingly well-written.-JANE GINSBURG, Morton L. Janklow Professor of Literary and Artistic Property, Columbia UniversityLitman's work is distinctive in several respects: in her informed historical perspective on copyright law and its legislative policy; her remarkable ability to translate complicated copyright concepts and their implications into plain English; her willingness to study, understand, and take seriously what ordinary people think copyright law means; and her creativity in formulating alternatives to the copyright quagmire. -PAMELA SAMUELSON, Professor of Law and Information Management; Director of the Berkeley Center for Law & Technology, University of California, BerkeleyIn 1998, copyright lobbyists succeeded in persuading Congress to enact laws greatly expanding copyright owners' control over individuals' private uses of their works. The efforts to enforce these new rights have resulted in highly publicized legal battles between established media and new upstarts.In this enlightening and well-argued book, law professor Jessica Litman questions whether copyright laws crafted by lawyers and their lobbyists really make sense for the vast majority of us. Should every interaction between ordinary consumers and copyright-protected works be restricted by law? Is it practical to enforce such laws, or expect consumers to obey them? What are the effects of such laws on the exchange of information in a free society?Litman's critique exposes the 1998 copyright law as an incoherent patchwork. She argues for reforms that reflect common sense and the way people actually behave in their daily digital interactions.This paperback edition includes an afterword that comments on recent developments, such as the end of the Napster story, the rise of peer-to-peer file sharing, the escalation of a full-fledged copyright war, the filing of lawsuits against thousands of individuals, and the June 2005 Supreme Court decision in the Grokster case.Jessica Litman (Ann Arbor, MI) is professor of law at Wayne State University and a widely recognized expert on copyright law.




World Meetings


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Journal of the SMPTE.


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Information Display


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Generative Deep Learning


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Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN




Wireshark & Ethereal Network Protocol Analyzer Toolkit


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Ethereal is the #2 most popular open source security tool used by system administrators and security professionals. This all new book builds on the success of Syngress' best-selling book Ethereal Packet Sniffing.Wireshark & Ethereal Network Protocol Analyzer Toolkit provides complete information and step-by-step Instructions for analyzing protocols and network traffic on Windows, Unix or Mac OS X networks. First, readers will learn about the types of sniffers available today and see the benefits of using Ethereal. Readers will then learn to install Ethereal in multiple environments including Windows, Unix and Mac OS X as well as building Ethereal from source and will also be guided through Ethereal's graphical user interface. The following sections will teach readers to use command-line options of Ethereal as well as using Tethereal to capture live packets from the wire or to read saved capture files. This section also details how to import and export files between Ethereal and WinDump, Snort, Snoop, Microsoft Network Monitor, and EtherPeek. The book then teaches the reader to master advanced tasks such as creating sub-trees, displaying bitfields in a graphical view, tracking requests and reply packet pairs as well as exclusive coverage of MATE, Ethereal's brand new configurable upper level analysis engine. The final section to the book teaches readers to enable Ethereal to read new Data sources, program their own protocol dissectors, and to create and customize Ethereal reports. - Ethereal is the #2 most popular open source security tool, according to a recent study conducted by insecure.org - Syngress' first Ethereal book has consistently been one of the best selling security books for the past 2 years




Progress of Machining Technology


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With Some Topics in Advanced Manufacturing Technology Selected, peer reviewed papers from the 9th International Conference on Progress of Machining Technology, April 25-28, 2009, Kunming, China, ICPMT’09




Complexity-Aware High Efficiency Video Coding


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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.