Context-based adaptive binary arithmetic coding engine

Details Context-based adaptive binary arithmetic coding engine Context-based adaptive binary arithmetic coding engine

2011-07-19

2011-07-19

Young, Brian (Department: 2819)

Coded data generation or conversion

Digital code to digital code converters

To or from code based on probability

C341S051000

Reexamination Certificate

active

07982641

ABSTRACT:
A system including a binarization module, an encoding module, and a prediction module. The binarization module is configured to binarize a syntax element and to generate symbols. The encoding module is configured to encode the symbols using context-adaptive binary arithmetic coding (CABAC). The prediction module is configured to generate a prediction for a number of renormalizations to be performed to renormalize an interval range when encoding one of the symbols. The encoding module encodes a next symbol following the one of the symbols based on the prediction before renormalization of the interval range is actually completed.

REFERENCES:
patent: 7221296 (2007-05-01), Ziauddin et al.
patent: 7262721 (2007-08-01), Jeon et al.
patent: 7834782 (2010-11-01), Bacri
ITU-T Telecommunication Standardization Sector of ITU; H.264 (Mar. 2005); Series H: Audiovisual and Multimedia Systems; Infrastructure of audiovisual services—Coding of moving video; Advanced video coding for generic audiovisual services; 343 pages.
Arithmetic Coding revealed; A guided tour from theory to praxis; Eric Bodden, Malte Clasen, and Joachim Kneis; Translated and updated version, May 2004; 57 pages.

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