首页> 外国专利> STABILIZATION OF PROBABILITY ESTIMATES BY CONDITIONING ON PRIOR DECISIONS OF A GIVEN CONTEXT

STABILIZATION OF PROBABILITY ESTIMATES BY CONDITIONING ON PRIOR DECISIONS OF A GIVEN CONTEXT

机译:通过根据给定上下文的事先决定来稳定概率估计

摘要

A system and method involving a statistical conditioning technique that improves the codingefficiency in compression systems which have unstable statistical properties by conditioningthe probability estimate for a given model context on prior decisions for that context thusenlarging the conditioning decision set. Each model context is expanded into a set of twocontexts which are the actual coding contexts. For a given probability estimation modelcontext, the selection of a coding context index is done on the basis of the previous codingdecision (1 or 0) for that model context. Thus, if a model context is assigned an index A,the coding context would be assigned an index 2*A + D(A)', where D(A)' is the previousbinary decision for model context A; the decision of which coding context to use turns onwhether the model context was used most recently for coding a 1 or a 0.
机译:一种涉及改进编码的统计条件技术的系统和方法通过调节具有不稳定统计特性的压缩系统的效率给定模型上下文根据该上下文的先前决策的概率估计,因此扩大条件决策集。每个模型上下文都扩展为两个上下文是实际的编码上下文。对于给定的概率估计模型在上下文中,根据先前的编码来选择编码上下文索引该模型上下文的决策(1或0)。因此,如果为模型上下文分配了索引A,编码上下文将被分配一个索引2 * A + D(A)',其中D(A)'是前一个模型上下文A的二元决策;决定使用哪个编码上下文模型上下文是最近用于编码1还是0。

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