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020 _a9783031022449
_9978-3-031-02244-9
024 7 _a10.1007/978-3-031-02244-9
_2doi
050 4 _aT1-995
072 7 _aTBC
_2bicssc
072 7 _aTEC000000
_2bisacsh
072 7 _aTBC
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082 0 4 _a620
_223
100 1 _aZhai, Fan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_987064
245 1 0 _aJoint Source-Channel Video Transmission
_h[electronic resource] /
_cby Fan Zhai, Aggelos Katsaggelos.
250 _a1st ed. 2007.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2007.
300 _aCXL, 12 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Image, Video, and Multimedia Processing,
_x1559-8144
505 0 _aContents: Introduction -- Elements of a Video Communication System -- Joint Source-Channel Coding -- Error-Resilient Video Coding -- Channel Modeling and Channel Coding -- Internet Video Transmission -- Wireless Video Transmission -- Conclusions.
520 _aThis 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 source-channel video transmission for wired and wireless systems. In this book, we present a general resource-distortion optimization framework, which is used throughout the book to guide our discussions on various techniques of joint source-channel video transmission. In this framework, network resources from multiple layers are assigned to each video packet according to its level of importance. It provides not only an optimization benchmark against which the performance of other sub-optimal systems can be evaluated, but also a useful tool for assessing the effectiveness of different error control components in practical system design. This book is therefore written to be accessible to researchers, expert industrial R&D engineers, and university students who are interested in the cutting edge technologies in joint source-channel video transmission. Contents: Introduction / Elements of a Video Communication System / Joint Source-Channel Coding / Error-Resilient Video Coding / Channel Modeling and Channel Coding / Internet Video Transmission / Wireless Video Transmission / Conclusions.
650 0 _aEngineering.
_99405
650 0 _aElectrical engineering.
_987065
650 0 _aSignal processing.
_94052
650 1 4 _aTechnology and Engineering.
_987067
650 2 4 _aElectrical and Electronic Engineering.
_987068
650 2 4 _aSignal, Speech and Image Processing.
_931566
700 1 _aKatsaggelos, Aggelos.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_987070
710 2 _aSpringerLink (Online service)
_987074
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031011160
776 0 8 _iPrinted edition:
_z9783031033728
830 0 _aSynthesis Lectures on Image, Video, and Multimedia Processing,
_x1559-8144
_987076
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02244-9
912 _aZDB-2-SXSC
942 _cEBK
999 _c86045
_d86045