Advances in visual data compression and communication by Wu F. PDF

By Wu F.

ISBN-10: 1482234157

ISBN-13: 9781482234152

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Extra resources for Advances in visual data compression and communication

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264/MPEG-4 Advanced Video Coding (AVC) is a video coding standard developed by the ITU-T Video Coding Experts Group (VCEG) together with the ISO/IEC JTC1 Moving Picture Experts Group (MPEG). The project partnership effort is known as the Joint Video Team (JVT). 264 standard and the ISO/IEC MPEG-4 AVC standard (formally, ISO/IEC 14496-10 MPEG-4 Part 10, Advanced Video Coding) are jointly maintained so that they have identical technical contents. 264 still follows the hybrid video coding framework, many compression technologies have been significantly improved.

Channel coding tries to introduce a certain redundancy back to the source, which protects the compressed bits. At the receiver, channel decoding corrects the received errors by using redundancy. Source decoding recovers the source from the compressed bits. This chapter is organized according to T. M. Cover and J. A. Thomas’s book Elements of Information Theory [5], which is a comprehensive book about Shannon’s information theory. We do not pay much attention to either the completeness of the theory or the details of how to prove the theorems step by step.

53) Hence the information capacity of the Gaussian channel is C= max p(y):EY 2 P I(Y ; Yˆ ) = 1 P log(1 + 2 ). 2 Coding Theorem An (M, n) code for the channel (Y , p(yˆ j y), Yˆ ) consists of the following: 1. An index set f1, 2, , Mg. 2. An encoding function Y n : f1, 2, , Mg ! Y n , yielding codewords Y n (1), Y n (2), , Y n (M). The set of codewords is called the codebook. 3. A decoding function g : Yˆ n ! f1, 2, , Mg, which is a deterministic rule to assign a guess to each possible received vector.

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Advances in visual data compression and communication by Wu F.


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