Time-Variant Multi-Hypothesis Probability Model Update for Entropy Coding

Abstract

Entropy coding a sequence of syntax elements using a time-variant multi-hypothesis probability model update is described. A sequence of syntax elements is received, and a symbol for a syntax element of the sequence is determined. The symbol is coded by arithmetic coding using a linear combination of a first probability model and a second probability model. The first probability model is updated using a first time-variant update rate to produce a first updated probability model for entropy coding a symbol for a subsequent syntax element of the sequence, and the second probability model is updated using a second time-variant update rate to produce a second updated probability model for entropy coding the symbol for the subsequent syntax element of the sequence. The first and second time-variant update rates are different.

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