Method and apparatus for cabac-based encoding having high compression ratio using improved context model selection and method and apparatus for cabac-based decoding

Abstract

A method and an apparatus are provided for context-based adaptive binary arithmetic coding (CABAC) based encoding or decoding using improved selection of a context model for a high compression ratio. The method of CABAC-based encoding includes selecting a first context model based on statistics of previously input symbols and a second context model having a value of a most probable symbol (MPS) different from that of the first context model, encoding a current input symbol using the first context model if the current input symbol has a same value as that of the most probable symbol of the first context model or if the second context model cannot be selected, and encoding the current input symbol using the second context model if the current input symbol has a value different from the most probable symbol of the first context model and if the second context model can be selected.