By Abdul H. Sadka
The compression schemes utilized for the garage and transmission of electronic video information depart content material delicate to transmission blunders, info loss and caliber degradation. fresh advancements in mistakes resilience concepts permit enhanced caliber of provider of video communique over a number of community platforms.Digital video communications, supported by means of the net, ATM networks and Broadband ISDN, have gone through major improvement during the last few years. rising purposes comprise videoconferencing, tele-medicine and distance studying. This innovative textual content addresses the issues linked to the supply and layout of video communique prone. * offers a complete assessment of the foundations and methods hired within the development of the functionality of video formats in errors companies environments * presents a functionality review and comparability of video coding criteria, MPEG-4, H.261 and H.263 * Outlines tools of video communique over cellular networks * presents counsel on caliber enhancement and the assembly caliber of provider (QoS) standards for electronic video communications * Accompanying CD-ROM containing videos to demonstrate the coding and blunder resilience expertise defined in the textual content A priceless source for researchers and postgraduate scholars operating with video conversation expertise, in addition to working towards digital and communications engineers designing and imposing video conversation structures and experts operating within the video, tv, computing and communications industries.
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Extra resources for Compressed video communications
In March 2000, ISO has published the ﬁrst draft of a recommendation for a new algorithm JPEG2000 for the coding of still pictures based on wavelet transforms. ISO is also in the process of drafting a new model-based image compression standard, namely JBIG2 (Howard, Kossentini and Martins, 1998), for the lossy and lossless compression of bilevel images. The design goal for JBIG2 is to enable a lossless compression performance which is better than that of the existing standards, and to enable lossy compression at much higher compression ratios than the lossless ratios of the existing standards, with almost no degradation of quality.
This chapter deals with the basic principles of video coding and sheds some light on the performance analysis of most popular video compression schemes employed in multimedia communication applications today. 1 depicts a simpliﬁed block diagram of a typical video encoder and decoder. Each input frame has to go through a number of stages before the compression process is completed. Firstly, the eﬃciency of the coder can be greatly enhanced if some undesired features of the input frames are primarily suppressed or enhanced.
Each of the DC coeﬃcients is assigned an 8-bit length codeword, while the AC coeﬃcients are run-length coded. 18 An example of a DCT transform of a block of pixels quantisation of the transformed coeﬃcients. The quantiser is regarded as the most important component of the video encoder since it controls both the coding eﬃciency and the quality of the reconstructed video sequence. The coding eﬃciency and decoded video quality could be considerably improved if the quantisation operation is based on the human visual sensitivity to both luminance and chrominance.