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Patent

Method and means for arithmetic coding utilizing a reduced number of operations

TLDR
In this paper, a method and means of arithmetic coding of conditional binary sources permitting instantaneous decoding and minimizing the number of encoding operations per iteration is presented, where a single shift and subtract operation for each encoding cycle can be achieved if an integer valued parameter representative of a probability interval embracing each source symbol relative frequency is used for string encoding and control.
Abstract
A method and means of arithmetic coding of conditional binary sources permitting instantaneous decoding and minimizing the number of encoding operations per iteration. A single shift and subtract operation for each encoding cycle can be achieved if an integer valued parameter representative of a probability interval embracing each source symbol relative frequency is used for string encoding and control. If the symbol being encoded is the most probable, then nothing is added to the arithmetic code string. However, an internal variable is updated by replacing it with an augend amount. If the updated internal variable has a leading zero, then both it and the code string are shifted left by one position. If the symbol being encoded is the least probable, then a computed augend is added to the code string and the code string is shifted by an amount equal to the integer valued parameter.

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Citations
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Introduction to Arithmetic Coding - Theory and Practice

Amir Said
TL;DR: This introduction to arithmetic coding is divided in two parts; the first explains how and why arithmetic coding works, and the second shows some of its basic properties, which are later used in the computational techniques required for a practical implementation.
Patent

Image compression technique with regionally selective compression ratio

TL;DR: In this article, the authors propose an enhancement to a standard lossy image compression technique wherein a single set of side information is provided to allow decompression of the compressed file, where certain portions of the image are selected (either by the user or automatically) for more compression than other portions.
Patent

Dynamic model selection during data compression

TL;DR: In this paper, a method for maximizing data compression by optimizing model selection during coding of an input stream of data symbols, wherein at least two models are run and compared, and the model with the best coding performance for a given size segment or block of compressed data is selected such that only its block is used in an output data stream.
Patent

Arithmetic coding encoder and decoder system

TL;DR: In this article, a method for compressing and de-compressing binary decision data by arithmetic coding and decoding is presented, wherein the estimated probability Qe of the less probable of the two decision events, or outcomes, adapts as decisions are successively encoded.
Patent

Probability adaptation for arithmetic coders

TL;DR: In this article, a method for adapting the value of a probability of the occurrence of a first of two binary symbols is presented. But the method is based on a deterministic finite state machine (DSM).
References
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Patent

Method and means for arithmetic string coding

TL;DR: In this article, a method and means for compacting (encoding) and decompacting (decoding) binary bit strings which avoids the blocking of string elements required by Huffman coding and the ever increasing memory as is the case in simple enumerative coding is disclosed.