Examples of 'arithmetic coding' in a sentence

Meaning of "arithmetic coding"

Arithmetic coding: Arithmetic coding is a data compression technique used in computer science and information theory. It provides a way to represent data by encoding symbols into a fraction between 0 and 1. This allows for efficient storage and transmission of information. Arithmetic coding is commonly used in image and video compression algorithms, as well as in file compression techniques like ZIP and RAR

How to use "arithmetic coding" in a sentence

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Advanced
arithmetic coding
Hence arithmetic coding can not legally be.
The entropy coding described is an arithmetic coding.
A detailed arithmetic coding procedure is described herein.
Method and apparatus for arithmetic coding.
Arithmetic coding is finally applied to compress the data.
Method and apparatus for arithmetic coding and decoding.
Since arithmetic coding provides only a marginal gain.
Other forms or entropy or arithmetic coding may also be used.
Arithmetic coding however performs better in practical applications.
The predicted bit is then coded using arithmetic coding.
The arithmetic coding technique fulfills this requirement.
Context reduction for context adaptive binary arithmetic coding.
Arithmetic coding is well known to those skilled in the art.
Number of context reduction for context adaptive binary arithmetic coding.
Arithmetic coding is a form of entropy encoding used in lossless data compression.

See also

Renormalization is well known to those skilled in the art of arithmetic coding.
Use arithmetic coding.
The information content of the transformed blocks is encoded by arithmetic coding.
Since arithmetic coding provides only a marginal gain over the.
It will be now disclosed the distributed arithmetic coding according to the invention.
Arithmetic coding is a method of encoding data using a variable number of bits.
The probability table applied to the arithmetic coding is initialized in each slice.
Arithmetic coding methods represent a variable number of data by a constant quantity of bits.
The encoder encodes the direct signal levels using arithmetic coding.
Arithmetic coding is a sequential approach that does not allow parallelization in a straightforward manner.
A key aspect for the subsequent arithmetic coding is to maintain a small symbol alphabet.
Arithmetic coding is used for bins which have an unequal probability distribution.
It can use either variable length coding or arithmetic coding for entropy coding.
The history of arithmetic coding is nicely described in the appendix of this document.
The entropy coding uses a neural network to determine the parameters of the arithmetic coding.
The context arithmetic coding uses the adaptive symbol occurrence probability.
Such mappings can be efficiently implemented and do not require a complex arithmetic coding engine.
The bypass arithmetic coding is arithmetic coding which uses a fixed probability.
The entropy coding uses a neutral network to determine the parameters of the arithmetic coding.
Adaptive arithmetic coding can directly use different or changing probability distributions.
Some US patents relating to arithmetic coding are listed below.
Hence arithmetic coding can not legally be used without obtaining one or more licenses.
CABAC is a form of arithmetic coding.
An outline of an arithmetic coding method according to the present embodiment will be described.
This probability is used for the arithmetic coding of the MDCT lines.
Arithmetic coding generally involves representing an input sequence as a single number within a given range.
Bypass coding may refer to the arithmetic coding of bins without using an adaptive context.
Arithmetic coding codes a sequence of bits into a single codeword based on a predetermined probability model.
Method for decoding video accompanied with arithmetic coding and two dimensional last significant coefficient signaling.
It should be noted that PIPE uses principles similar to those of arithmetic coding.
An outline of the arithmetic coding method according to the present embodiment has been described.
Two of the most common entropy encoding techniques are Huffman coding and arithmetic coding.
Here an example of the arithmetic coding will be described with reference to Fig.
Furthermore, no code tables need be stored in arithmetic coding.
It appears that the arithmetic coding option of the JPEG spec is covered by patents.

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