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1,427 result(s) for "Streaming technology (Telecommunications)"
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Music and video streaming
Introduces the concept of streaming and then explains how it works and what its uses are. Along the way, important digital terminology and concepts are introduced, such as bandwidth, codecs, plugins, and protocol.
Streaming Video Resources for Teaching, Learning, and Research
According to a 2012 Ithaka study, 80 percent of faculty in the humanities and 70 percent in social sciences use video, film, and non-textual resources for teaching undergraduates. Streaming video is not simply an accommodation to distance learners; rather, it's an expectation for the curriculum, and a valuable tool for teaching critical thinking skills, analysis, and the use of primary sources. This issue ofLibrary Technology Reportswill help you recommend high-quality video resources for faculty and researchers, with information on: 75 YouTube channels for teaching , learning and research 11 interdisciplinary video and multimedia sites with annotations on features and content 6 open access course collections 5 university channels and collections Using video with Moodle, Sakai, LibGuides, or WordPress Mass market video sites that offer library-friendly business models
Broadcasters' Rights in the Digital Era
In Broadcasters' Rights in the Digital Era, Sakthivel provides a cogent and insightful understanding of authors' right vis-à-vis broadcasters' right in the technologically advanced era especially in live streaming technology context.
Stream processing with Apache Flink : fundamentals, implementation, and operation of streaming applications
\"Get started with Apache Flink, the open source framework that powers some of the world's largest stream processing applications. With this practical book, you'll explore the fundamental concepts of parallel stream processing and discover how this technology differs from traditional batch data processing. Longtime Apache Flink committers Fabian Hueske and Vasia Kalavri show you how to implement scalable streaming applications with Flink's DataStream API and continuously run and maintain these applications in operational environments. Stream processing is ideal for many use cases, including low-latency ETL, streaming analytics, and real-time dashboards as well as fraud detection, anomaly detection, and alerting. You can process continuous data of any kind, including user interactions, financial transactions, and loT data, as soon as you generate them.\"-- Provided by publisher
Streaming Culture
Encouraging us to look beyond the seemingly limitless supply of multimedia content, David Arditi calls attention to the underlying dynamics of instant viewing - in which our access to our favourite binge-worthy show, blockbuster movie or hot new album release depends on any given service's willingness, and ability, to license it.
The MXF Book
Written by a top team of industry professionals, this must-have guide will introduce you to everything you'll need to know about MXF. The MXF Book introduces and explains the MXF standard and helps engineers write MXF applications. The book also explains the reasons behind many details of the specification documents.