运动估算是视频信号的帧间预测编码中的一个重要环节，其效率和精度直接影响到编码器的性能。
Motion estimation is a very important part in the inter prediction technical of video coding, and the performance of a video coder largely depends on the efficiency and precision of motion estimation.
这些公共运动参数用于在不需要将相关的运动参数从编码器传输至解码器的情况下，生成默认时间预测。
These common motion parameters are used for generating a default temporal prediction without the need to transmit related motion vectors from the encoder to the decoder.
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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