000			04333nam a22004335i 4500
999			_c386865 _d386865
001			386865
003			ES-MaUEC
005			20230130195645.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			220601s2007 sz | s |||| 0|eng d
020			_a9783031022449
024	7		_a10.1007/978-3-031-02244-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5105.2 _b2007 EB
100	1		_aZhai, Fan, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686357 _d1974-
245	1	0	_aJoint Source-Channel Video Transmission _cby Fan Zhai, Aggelos Katsaggelos
250			_a1st edition 2007
264		1	_aCham _bSpringer International Publishing _c2007
300			_a1 recurso en línea (CXL, 12 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_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-layer resource 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.
988			_aSynthesis Collection of Technology_2007
650		7	_2embne _9669624 _aCompresión de vídeo
650		7	_2embne _9156182 _aVídeo digital
650		7	_2embne _9163291 _aComunicaciones digitales
700	1		_aKatsaggelos, Aggelos Konstantinos, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685869 _d1956-
776	0	8	_iPrinted edition: _z9783031011160
776	0	8	_iPrinted edition: _z9783031033728
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02244-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _esc _zSI