该算法主要包括三个特色技术：基于纹线局部走向的分类预测、体现指纹微观纹理的扩展上下文以及基于成像仪器的分类熵编码器概率模型初始化。

There are mainly three distinguishing features in our proposed algorithm:local direction-based prediction, extended context for micro texture and histogram initialization based on imaging apparatus.

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自适应量化的基本思想是：在FDCT过程中加入自适应处理，生成新的量化表代替固定量化表，再将其数据与FDCT处理的数据一起传送到熵编码器。

The basic rule of the adaptive quantization is: to add adaptive processing to FDCT and produce new quantization form instead of the fixed quantization form.

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对熵编码的优化会改善整个视频编码器的性能。

The optimization of the entropy coding can improve the performance of the entire video encoder.

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