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On entropy coded and entropy constrained lattice vector quantization
Proceedings of 3rd IEEE International Conference on Image Processing, 2002Two lattice vector quantization methods are compared. The first, classical method uses Dirichlet domains of lattice points as quantization cells and assigns them reconstruction vectors minimizing the distortion. The second method uses the lattice as codebook but modifies the shapes of the quantization cells by searching for each input vector the ...
Stephan F. Simon, Wolfgang Niehsen
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The entropy of a code with probabilities
ITS'98 Proceedings. SBT/IEEE International Telecommunications Symposium (Cat. No.98EX202), 2002The entropy of a code with probabilities is defined and as a consequence the concept of conservation of entropy in lossless source coding emerges in a natural manner. For any given probability distribution (p/sub 1/,p/sub 2/,...,p/sub T/) all the distinct decompositions of the associated entropy function h(p/sub 1/,p/sub 2/,...,p/sub T/), as a function
V.C. Da Rocha, H.M. De Oliveira
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Combination coding: a new entropy coding technique
Proceedings of Data Compression Conference - DCC '96, 1996Summary form only given. Entropy coding is defined to be the compression of a stream of symbols taken from a known symbol set where the probability of occurrence of any symbol from the set at any given point in the stream is constant and independent of any known occurrences of any other symbols.
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1995
The entropy coder is the last stage in the encoding pipeline of JPEG, H.261, and MPEG. Unlike transform-based coding, where compression is lossy, entropy coding is lossless. The entropy coder consists of two main data compression/decompression units: a run-length coder (RLC) and a variable-length coder (VLC).
Vasudev Bhaskaran +1 more
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The entropy coder is the last stage in the encoding pipeline of JPEG, H.261, and MPEG. Unlike transform-based coding, where compression is lossy, entropy coding is lossless. The entropy coder consists of two main data compression/decompression units: a run-length coder (RLC) and a variable-length coder (VLC).
Vasudev Bhaskaran +1 more
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2002
A binary digit, or “bit,” b, takes one of the values b = 0 or b = 1. A single bit has the ability to convey a certain amount of information — the information corresponding to the outcome of a binary decision, or “event,” such as a coin toss. If we have N bits, then we can identify the outcomes of N binary decisions.
David S. Taubman, Michael W. Marcellin
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A binary digit, or “bit,” b, takes one of the values b = 0 or b = 1. A single bit has the ability to convey a certain amount of information — the information corresponding to the outcome of a binary decision, or “event,” such as a coin toss. If we have N bits, then we can identify the outcomes of N binary decisions.
David S. Taubman, Michael W. Marcellin
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Quantization and Entropy Coding in the Versatile Video Coding (VVC) Standard
IEEE Transactions on Circuits and Systems for Video Technology, 2021Dr Ing Christian R Helmrich +2 more
exaly
High Throughput CABAC Entropy Coding in HEVC
IEEE Transactions on Circuits and Systems for Video Technology, 2012Vivienne Sze, Madhukar Budagavi
exaly