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Titlebook: Joint Source-Channel Video Transmission; Fan Zhai,Aggelos Katsaggelos Book 2007 Springer Nature Switzerland AG 2007

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書目名稱Joint Source-Channel Video Transmission
編輯Fan Zhai,Aggelos Katsaggelos
視頻videohttp://file.papertrans.cn/502/501163/501163.mp4
叢書名稱Synthesis Lectures on Image, Video, and Multimedia Processing
圖書封面Titlebook: Joint Source-Channel Video Transmission;  Fan Zhai,Aggelos Katsaggelos Book 2007 Springer Nature Switzerland AG 2007
描述This book deals with the problem of joint source-channel video transmission, i.e., the joint optimal allocation of resources at the application layer and the other network layers, such as data rate adaptation, channel coding, power adaptation in wireless networks, quality of service (QoS) support from the network, and packet scheduling, for efficient video transmission. Real-time video communication applications, such as videoconferencing, video telephony, and on-demand video streaming, have gained increased popularity. However, a key problem in video transmission over the existing Internet and wireless networks is the incompatibility between the nature of the network conditions and the QoS requirements (in terms, for example, of bandwidth, delay, and packet loss) of real-time video applications. To deal with this incompatibility, a natural approach is to adapt the end-system to the network. The joint source-channel coding approach aims to efficiently perform content-aware cross-layerresource allocation, thus increasing the communication efficiency of multiple network layers. Our purpose in this book is to review the basic elements of the state-of-the-art approaches toward joint so
出版日期Book 2007
版次1
doihttps://doi.org/10.1007/978-3-031-02244-9
isbn_softcover978-3-031-01116-0
isbn_ebook978-3-031-02244-9Series ISSN 1559-8136 Series E-ISSN 1559-8144
issn_series 1559-8136
copyrightSpringer Nature Switzerland AG 2007
The information of publication is updating

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Internet Video Transmission,video delivery quality with given resource constraints. In the following sections, we first address the general problem formulation presented in Chapter 3, and then go on to show how the framework is applied to different applications and network infrastructures through three case studies.
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Joint Source-Channel Coding,en describe the reason of why we need joint source-channel coding, as well as the specific task and formulation of joint source-channel coding in video communication applications. After that, we discuss the general tools utilized for solving the resulting optimization problem in JSCC.
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Error-Resilient Video Coding,reat amount of distortion. In other words, ideal source coding is not robust to channel errors. In addition, designing an ideal or near-ideal source coder is complicated, especially for video signals, because video signals are time varying and have memory, and their statistical distribution may not
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