METHOD AND APPARATUS FOR CABAC-BASED ENCODING HAVING HIGH COMPRESSION RATIO USING IMPROVED CONTEXT MODEL SELECTION AND METHOD AND APPARATUS FOR CABAC-BASED DECODING

摘要

PROBLEM TO BE SOLVED: To provide a method and an apparatus for CABAC (Context-based Adaptive Binary Arithmetic Coding) based encoding or decoding using improved selection of a context model for a high compression ratio.

SOLUTION: The method of CABAC-based encoding includes the steps of: selecting a first context model based on statistics of previously input symbols and a second context model having a value of a MPS (Most Probable Symbol) different from that of the first context model; encoding an input symbol using the first context model if the present input symbol has the same value as MPS of the first context model or the second context model cannot be selected; and encoding the input symbol using the second context model if the current input symbol has a value different from the value of the MPS of the first context model and if the second context model can be selected.

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