MECHANISM FOR MODELING ESCAPE COUNTS IN ADAPTIVE COMPRESSION MODELS

Patent №

US 7,629,901

Granted

2009-12-08

Filed 2008

Owner

RED HAT, INC.

Lab

AI components

1

kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12152713

In one embodiment, a mechanism for modeling escape counts in adaptive compression models is disclosed. In one embodiment, a method includes initializing an escape count for an escape symbol used in an adaptive compression context model that encodes an input stream, the initial escape count being initialized at a high value in an upper portion of a range of possible count values, invoking the adaptive compression context model with the initial escape count for the escape symbol, incrementing the escape count each time it is utilized in the adaptive compression context model, and scaling the escape count when it exceeds a maximum count value.

AI classification

Knowledge representation0.95
Planning0.25
AI hardware0.22
Natural language0.07
Vision0.06
Evolutionary computation0.02
Speech0.01
Machine learning0.00

Ownership

RED HAT, INC.

assignment · 210200952

Assignors

SCHNEIDER, JAMES PAUL

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

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