DIFFERENCE CODING ADAPTIVE CONTEXT MODEL USING COUNTING

Patent №

US 7,656,320

Granted

2010-02-02

Filed 2008

Owner

RED HAT, INC., A DELAWARE CORPORATION

Lab

AI components

2

nlp · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12100847

Techniques for improving encoding and decoding data are described herein. According to one embodiment, it is determined whether a current context can encode a retrieved symbol. The current context includes a plurality entries, each representing an encoded symbol, including a count value representing a frequency of the entry being used. A code is generated to a code stream, where the code represents a difference between an index of an entry in the current context associated with the retrieved symbol and a previous index used for encoding a previous symbol, if the current context can encode the retrieved symbol. A count value corresponding to the entry associated with the retrieved symbol is incremented in the current context. The current context is sorted based on count values of all entries in the current context, where the code stream and the literal stream are to be compressed and encoded by a compressor.

AI classification

Natural language0.97
Evolutionary computation0.89
Knowledge representation0.46
AI hardware0.19
Vision0.02
Machine learning0.00
Speech0.00
Planning0.00

Ownership

RED HAT, INC., A DELAWARE CORPORATION

assignment · 207850539

Assignors

SCHNEIDER, JAMES P.

On an employer assignment, the assignors are typically the inventors.

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