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LEADER 00000nam  2200805 a 4500 
001    200707IVM010 
005    20081107150756.0 
006    m    e   d         
008    081006t20072007cau    fsb    001 0 eng d 
020    1598290452 (electronic bk.) 
020    9781598290455 (electronic bk.) 
024 7  10.2200/S00061ED1V01Y200707IVM010|2doi 
035    (OCoLC)141384555 
035    171181957(OCLC) 
035    (CaBNvSL)gtp00531484 
040    CaBNvSL|beng|cCaBNvSL|dCaBNvSL 
049    FNNN 
050  4 TK5105.2|b.Z43 2007 
100 1  Zhai, Fan,|d1974- 
245 10 Joint source-channel video transmission /|cFan Zhai, 
       Aggelos Katsaggelos. 
250    First edition. 
264  1 San Rafael, Calif. (1537 Fourth Street, San Rafael, CA  
       94901 USA) :|bMorgan & Claypool Publishers,|c[2007] 
264  4 |cİ2007 
300    1 electronic document (xii, 136 pages) :|bdigital file. 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
490 1  Synthesis lectures on image, video, and multimedia 
       processing ;|v#10. 
500    Part of: Synthesis digital library of engineering and 
       computer science. 
500    Series from website. 
500    Title from PDF t.p. (viewed on Oct. 10, 2008). 
504    Includes bibliographical references (pages 121-133) and 
       index. 
505 0  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. 
506    Abstract freely available; full-text restricted to 
       subscribers or individual document purchasers. 
506    Available to subscribers only. 
506    Access may be restricted to authorized users only. 
506    Unlimited user license access 
510 0  Compendex. 
510 0  Google book search. 
510 0  INSPEC. 
510 0  Google scholar. 
520 0  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-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 engineers, and university students who
       are interested in the cutting edge technologies in joint 
       source-channel video transmission. 
538    Mode of access: World Wide Web. 
538    System requirements: PDF reader. 
650  0 Coding theory. 
650  0 Computer network protocols. 
650  0 Data transmission systems. 
650  0 Image transmission. 
650  0 Streaming video. 
650  0 Video compression. 
690    Video processing. 
690    Video transmission. 
690    Joint source-channel coding. 
690    Resource allocation. 
690    Error. 
690    Resilience. 
690    Unequal error protection (UEP) 
690    Error control. 
690    Quality of service (qos) 
690    Multimedia. 
690    Streaming. 
690    Cross-layer optimization. 
690    Content-aware video transmission. 
700 1  Katsaggelos, Aggelos Konstantinos,|d1956- 
730 0  Synthesis digital library of engineering and computer 
       science. 
830  0 Synthesis lectures on image, video, and multimedia 
       processing ;|v#10. 
856 40 |zAvailable via SpringerLink; click here for access<br><
       img class="wb_perm_icon" src="/screens/wb_cond_9.gif" 
       alt="Local access for all registered users. Remote access 
       only for NSU.">|uhttps://sherman.library.nova.edu/auth/
       index.php?aid=591&url=http://dx.doi.org/10.2200/
       S00061ED1V01Y200707IVM010 
948    MARCIVE Processed 2014 
948    abg 
948    jlee1 04/22 oclc worldcat holding update  
948    jlee1 05/23 updated 856 field due to platform change to 
       SpringerLink 
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