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Semantic Analysis and Understanding of Human Behavior in Video Streaming, Alberto Amato; Vincenzo Di Lecce; Vincenzo Piuri


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Автор: Alberto Amato; Vincenzo Di Lecce; Vincenzo Piuri
Название:  Semantic Analysis and Understanding of Human Behavior in Video Streaming
ISBN: 9781489996992
Издательство: Springer
Классификация: ISBN-10: 1489996990
Обложка/Формат: Paperback
Страницы: 108
Вес: 0.18 кг.
Дата издания: 15.10.2014
Язык: English
Размер: 234 x 156 x 6
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Introduction.- Sensors for Human Behavior Analysis.- Related Works.- Sensor Data Interpretation for Symbolic Analysis.- Semantic Analysis.- Evaluation of the proposed methodology.- Conclusions.


Next-Generation Video Coding and Streaming

Автор: Bing Benny
Название: Next-Generation Video Coding and Streaming
ISBN: 1118891309 ISBN-13(EAN): 9781118891308
Издательство: Wiley
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Цена: 14248.00 р.
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Описание: Reviews the new High Efficiency Video Coding (HEVC) standard and advancements in adaptive streaming technologies for use in broadband networks and the Internet This book describes next-generation video coding and streaming technologies with a comparative assessment of the strengths and weaknesses.

Advanced Content Delivery, Streaming, and Cloud Services

Автор: Pathan Mukaddim
Название: Advanced Content Delivery, Streaming, and Cloud Services
ISBN: 1118575210 ISBN-13(EAN): 9781118575215
Издательство: Wiley
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Цена: 15198.00 р.
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Описание: While other books on the market provide limited coverage of advanced CDNs and streaming technologies, concentrating solely on the fundamentals, this book provides an up-to-date comprehensive coverage of the state-of-the-art advancements in CDNs, with a special focus on Cloud-based CDNs.

Scheduling Real-Time Streaming Applications onto an Embedded Multiprocessor

Автор: Orlando Moreira; Henk Corporaal
Название: Scheduling Real-Time Streaming Applications onto an Embedded Multiprocessor
ISBN: 3319344420 ISBN-13(EAN): 9783319344423
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book provides a comprehensive overview of the state-of-the-art, data flow-based techniques for the analysis, modeling and mapping technologies of concurrent applications on multi-processors.

Internet Video Data Streaming

Автор: Ye Tian; Min Zhao; Xinming Zhang
Название: Internet Video Data Streaming
ISBN: 9811065225 ISBN-13(EAN): 9789811065224
Издательство: Springer
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Цена: 7685.00 р.
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Описание: This book investigates the problem of reducing operating cost for a video streaming content delivery network (CDN), including both the CDN`s energy and traffic costs.

Peer-to-Peer Video Streaming

Автор: Eric Setton; Bernd Girod
Название: Peer-to-Peer Video Streaming
ISBN: 1441944877 ISBN-13(EAN): 9781441944870
Издательство: Springer
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Цена: 15372.00 р.
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Описание: The book describes novel solutions to enhance video quality, increase robustness to errors, and reduce end-to-end latency in video streaming systems. The authors are leading Researchers from Stanford University.

Protoplasmic Streaming

Автор: Noburo Kamiya
Название: Protoplasmic Streaming
ISBN: 3211805249 ISBN-13(EAN): 9783211805244
Издательство: Springer
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Цена: 16979.00 р.
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Описание: Since CORTI (1774) observed for the first time a streaming in plant cells, a history oJ mnre than 180 years has already elapsed in the study of proto- plasmic streaming. Durling this period of time, many experiments have been conducted and various discussions have been made nn prntoplasmic streaming, each of them within the limits of the knowledge and techniques of its own times and mnre or less under the influence of the ideas that pre- vailed then. With such a long history of research, in spite of all the interest and efforts that have been devoted to it by many, the mechani'sm of this in- triguing and complicated binlogical phenomenon is still left far from clear. It is an undeniable fact that one important factor stood in the way in analysing this phenomenon, that is, the limitations in the techniques ap- plicable to thi, s research. Another factor lay in the fact that we still have not enough knowledge about the protoplasm regar1ding its structural organisation, mechanochemistry, energetics, rheology, etc., all of which con- stitute basic problems in understanding the nature of the streaming.

Pro Spark Streaming

Автор: Nabi
Название: Pro Spark Streaming
ISBN: 1484214803 ISBN-13(EAN): 9781484214800
Издательство: Springer
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Цена: 3766.00 р.
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Описание: Learn the right cutting-edge skills and knowledge to leverage Spark Streaming to implement a wide array of real-time, streaming applications. Pro Spark Streaming walks you through end-to-end real-time application development using real-world applications, data, and code. Taking an application-first approach, each chapter introduces use cases from a specific industry and uses publicly available datasets from that domain to unravel the intricacies of production-grade design and implementation. The domains covered in the book include social media, the sharing economy, finance, online advertising, telecommunication, and IoT. In the last few years, Spark has become synonymous with big data processing. DStreams enhance the underlying Spark processing engine to support streaming analysis with a novel micro-batch processing model. Pro Spark Streaming by Zubair Nabi will enable you to become a specialist of latency sensitive applications by leveraging the key features of DStreams, micro-batch processing, and functional programming. To this end, the book includes ready-to-deploy examples and actual code. Pro Spark Streaming will act as the bible of Spark Streaming.What You'll Learn:Spark Streaming application development and best practicesLow-level details of discretized streamsThe application and vitality of streaming analytics to a number of industries and domainsOptimization of production-grade deployments of Spark Streaming via configuration recipes and instrumentation using Graphite, collectd, and NagiosIngestion of data from disparate sources including MQTT, Flume, Kafka, Twitter, and a custom HTTP receiverIntegration and coupling with HBase, Cassandra, and RedisDesign patterns for side-effects and maintaining state across the Spark Streaming micro-batch modelReal-time and scalable ETL using data frames, SparkSQL, Hive, and SparkRStreaming machine learning, predictive analytics, and recommendationsMeshing batch processing with stream processing via the Lambda architectureWho This Book Is For:

The audience includes data scientists, big data experts, BI analysts, and data architects.

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